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Experts in
ADVANCE SOFTWARE ENGINEERING

Building a diverse, scalable tech future

We partner with businesses to design, scale, and integrate engineering capabilities across Advanced Software Engineering and AI/ML & Data Engineering.

 

We work with Fortune 100 companies and high-growth businesses to shape high-performing delivery teams aligned to their technical strategy and growth goals, using flexible delivery models that accelerate projects, optimise resources, and reduce operational risk.

 

From our offices in London and Austin, we work with Fortune 100 companies and high-growth organisations to extend engineering capacity and deliver measurable impact across complex technical environments.

 

Certified as a minority-owned business by MSDUK, we are committed to advancing diversity in technology while supporting the creation of globally distributed, future-ready engineering teams.

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Head of QA
Location
Marbella, Málaga, Marbella, Spain
Salary
€50000-60000 - Per Annum
Where Innovation Meets Entertainment We are shaping the future of entertainment with immersive, engaging experiences that captivate players worldwide. Based in Marbella, Spain, our vibrant open-space office is home to an international team of developers, marketers, product owners, and other specialists. Our organisation operates a leading scalable technology platform that we fully own and control. This allows us to move quickly and deliver results efficiently. We integrate selected external partners into our ecosystem to ensure we continuously provide fresh and engaging products for our customers. We operate in a fast-paced environment, creating new brands, maintaining and improving our technology stack, launching acquisition and retention campaigns, and developing new features. Our ethos is simple: strive to be best-in-class in everything we do. Despite our rapid growth, the company still maintains an exciting start-up culture. We embrace a hybrid working model that balances professional development with personal wellbeing. With a dynamic environment, competitive compensation, and a collaborative culture, our greatest strength is our people. We provide company laptops and other equipment to support comfortable and productive work. Remote employees are also invited to our annual company trip and other team events. What Are We Looking For? We are looking for a Head of QA to lead and scale the quality assurance function across all platforms. This role combines strategic leadership with hands-on technical expertise: defining and executing the QA vision, guiding a focused team of 3–4 QA professionals, and driving the adoption of AI-powered testing practices. Whether you are an experienced QA leader or a strong QA Lead ready to step into a head-level role, we would like to hear from you. Our platform supports payment orchestration, compliance automation, and multi-brand gaming operations, where quality is mission-critical. As Head of QA, you will transform the quality function from reactive to proactive, owning the QA organisation end-to-end and ensuring quality is embedded across the entire engineering lifecycle. You will define strategy, lead a small but impactful team, and leverage AI and intelligent automation to establish best-in-class processes that ensure our products consistently meet the highest standards as the organisation grows. Key Responsibilities Quality Strategy & Execution Define and implement the organisation-wide QA strategy, approach, and roadmap. Act as the primary escalation point for QA-related issues, providing risk assessments and mitigation strategies. Oversee test planning, execution, reporting, and root-cause analysis for all releases. Establish and monitor QA KPIs to measure product quality and drive data-driven improvements. Advocate for quality across the entire software lifecycle—from design through post-release monitoring. Partner closely with Engineering, DevOps, and Product to enable shift-left testing and continuous delivery. Introduce and champion testing tools, frameworks, and methodologies, including AI-powered testing platforms. Define and monitor reliability goals such as uptime SLAs and incident-reduction targets. People Leadership Lead, mentor, and develop a small QA team, maximising impact through effective tooling, AI adoption, and clear processes. Drive performance management, career development, and skills growth. Foster a culture of ownership, continuous learning, and AI-augmented quality practices across the wider engineering organisation. Technical Leadership Provide hands-on technical guidance on test automation, CI/CD integration, performance testing, and release validation. Ensure adherence to QA standards, processes, and tools across all delivery teams. Integrate automated testing into CI/CD pipelines (e.g., GitHub Actions). Champion API testing, microservices testing, and end-to-end testing strategies. Evaluate and adopt AI-powered testing tools (e.g., self-healing tests, AI-generated test cases, intelligent test prioritisation). Leverage generative AI for test case generation, defect analysis, and predictive test selection while staying current with emerging AI-in-QA trends. What You’ll Do Inspire confidence through technical credibility and thoughtful leadership. Balance pragmatism with rigour, recognising when “good enough” is appropriate within regulatory constraints. Empower teams to take ownership of quality rather than enforcing it as a separate function. Communicate clearly, manage conflict effectively, and build trust across teams. Measure success through outcomes such as reduced incidents, faster releases, and improved customer satisfaction. What You’ll Bring Experience 4+ years of experience in Quality Assurance, including at least 1–2 years in a leadership or team lead role (QA Lead, QA Manager, or equivalent). Experience leading or managing a QA team, even a small one. Experience in regulated industries such as gaming, fintech, or healthcare with strong compliance awareness. Proven ability to implement QA strategies or frameworks from scratch or through transformation initiatives. Technical Expertise Strong understanding of testing methodologies including functional, non-functional, automation, performance, and security testing. Hands-on experience with modern QA tools such as Cypress, Playwright, Selenium, Postman, JMeter, Jenkins, and GitHub Actions. Familiarity with AI-assisted testing tools is a strong advantage. Strong understanding of CI/CD integration, automation frameworks, and release pipelines. Experience working with microservices architectures, cloud environments (AWS/GCP), and API testing. Proficiency in defect management, test metrics, risk-based testing, and process optimisation. Leadership & Communication Excellent communication and stakeholder management skills, with the ability to influence cross-functional teams and leadership. Strategic mindset with strong analytical thinking. Professional-level English communication skills, both written and verbal. Nice to Have These are not strict requirements but would be considered valuable: Experience with payment systems, gaming integrations, or multi-jurisdictional compliance. Experience working with microservices architectures, cloud environments, and API-driven platforms. Familiarity with Agile and DevOps practices. ISTQB Advanced certification or equivalent. Hands-on experience with AI-powered testing tools such as Katalon, Mabl, Testim, or Applitools. Experience using generative AI to support test creation and maintenance. Demonstrated track record of adopting emerging technologies and driving innovation in QA organisations. What We Offer Hybrid working model (3 days in the office per week) Innovative international company using modern technology and tools Collaborative, agile, and multicultural work environment Competitive salary and flexible working hours Paid vacation days plus public holidays Private health insurance for you and your family Free online language lessons Corporate events throughout the year Ongoing learning and professional development opportunities In-Office Perks Daily breakfast and freshly prepared lunch three days per week 50% discount on personal training and physiotherapy sessions Games room and full kitchen with hot drinks, fruit, and soft drinks Gym and wellness facilities
Golang Developer
Location
Remote, Remote, United Kingdom
Senior Backend Engineer (Golang) – High-Traffic Esports Platform (Remote, EU Timezone) We are looking for experienced Backend Engineers with strong Golang experience and Java as a bonus to join a team building large-scale esports infrastructure. The platform powers fantasy-style products and tournament data systems supporting major global competitions, operating under high traffic and real-time data requirements. You will be working on backend systems designed to handle high-throughput workloads, real-time data flows, and large-scale tournament infrastructure. Key Responsibilities • Design and build scalable backend services using Golang • Contribute to backend systems built in Java where required • Develop and maintain systems supporting high-traffic, real-time applications • Work with MongoDB to manage large volumes of tournament and platform data • Design and maintain microservices and distributed systems • Optimize system performance, latency, and reliability under heavy load Key Requirements • Strong commercial experience with Golang • Java experience is beneficial • Experience building high-traffic or high-throughput systems • Experience working with MongoDB or similar NoSQL databases • Strong understanding of microservices and distributed architecture • Ability to work remotely within EU timezones Nice to Have • Experience with real-time platforms, gaming, esports, or fantasy products • Experience working on large-scale event or tournament data platforms • Background in performance optimization and highly scalable backend systems Additional Information • Fully remote role within EU timezones • Work on systems supporting global esports tournaments and fantasy platforms • Senior-level engineering role focused on high-scale backend infrastructure
Staff Backend Engineer (RoR)
Location
New York, US-remote, United States
Salary
$$180,000-220,000 - Per Annum
Staff Backend Engineer Job Type: Permanent Salary: Up to $220,000 + Benefits Role Location: US (100% Remote) The Company: We’ve partnered with a fast-growing healthtech startup building AI-powered tools that help healthcare organizations streamline operations, improve patient engagement, and optimize clinical workflows. The Role: They’re hiring a Staff Backend Engineer to join a senior team of 10 engineers and lead backend architecture and implementation for two greenfield Rails 8 + Hotwire applications focused on AI-powered chat and workflow automation. This role is ideal for a systems-minded engineer who thrives on building robust, scalable backend services, designing APIs and data models, integrating AI capabilities, and enabling high-quality frontend experiences through clean abstractions—while collaborating closely with frontend engineers, product, and design. What You’ll Do Lead backend architecture and development for two new Rails 8 applications from the ground up Design and implement scalable APIs, data models, and business logic to power AI-driven chat and workflow automation features in healthcare Build and optimize backend systems for performance, reliability, security, and compliance (critical in healthcare contexts) Integrate AI/ML services and tools (e.g., prompt engineering pipelines, retrieval systems, or external LLM APIs) into Rails applications Own technical decisions around core infrastructure, background processing (e.g., Sidekiq/ActiveJob), caching, and database design (PostgreSQL or similar) Collaborate with frontend engineers to define clear API contracts and enable polished user experiences without owning UI implementation Work with the senior engineering team to establish best practices, review code, and ship production-ready, maintainable backend systems Operate autonomously in a fully remote, product-driven environment while mentoring on backend topics Ideal Background 7+ years of experience building production web applications, with deep expertise in backend systems Strong Ruby on Rails experience (ideally Rails 6+), including ActiveRecord, API design, and background jobs (Sidekiq/ActiveJob preferred) Proven track record owning backend architecture end-to-end: from data modeling and schema design to scalability, performance tuning, and fault-tolerant systems Experience integrating AI-powered features (e.g., LLM APIs, vector search, real-time processing, or workflow orchestration) Comfortable collaborating across disciplines—defining API boundaries for frontend teams and partnering with product/design on requirements Experience in autonomous, senior engineering teams and contributing to technical strategy Benefits Base salary up to $220,000 100% remote within the US Comprehensive benefits package Opportunity to work on AI-powered healthcare products with real-world impact Collaborative environment with a highly experienced engineering team
AI Engineer
Location
Sofia City, sofia city, Bulgaria
Job title: AI Engineer Job type: Contract Contract Length: 6 Months Rate: €220 euro per day Role Location: Fully Remote Role and Responsibilities:  We are seeking a highly skilled and innovative AI Engineer to join our team. This role is pivotal in designing and implementing cutting-edge AI solutions for our clients, ensuring they maximize the value of AI-driven technologies. The AI Engineer will engage with customers to understand business challenges, design AI-powered solutions, and provide technical leadership throughout the implementation lifecycle. This position requires a balance of technical expertise, strategic thinking, and exceptional client engagement skills.   Job Requirements: Extensive experience in AI/ML, deep learning, and cloud-based AI services (AWS, Azure, or Google Cloud). Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, and Hugging Face. Strong programming skills in Python or similar. Excellent proficiency with traditional SQL and big data technologies such as Apache Spark, Hadoop, and distributed computing frameworks. Ability to analyze large datasets and derive business insights using BI tools like Tableau, Power BI, or similar. Experience with MLOps practices, including model deployment, monitoring, and CI/CD for AI workflows. Hands-on experience with APIs, microservices, and AI-driven automation solutions. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here
Mailchimp Developer
Location
US Remote, United States
Job title: Mailchimp Developer Job type: Contract Contract Length: 3 months Rate: $40 - $50 Role Location: US Remote (Canada also considered) The company: Our client is a full-service, deeply digital advertising agency based in the North Mid-West, established over 40 years ago. It specializes in creating transformative branding and marketing solutions, including application development and marketing services, with a belief that courage and kindness have a place in business. They focus on driving uncommon success for clients in a collaborative environment. Role and Responsibilities: Develop and implement marketing automation workflows in MailChimp, including customer journeys, triggers, segmentation, and behavior-based messaging. Build and manage email campaigns in MailChimp, such as creating audiences, templates, dynamic content, trigger campaigns, and scheduled sends to support marketing initiatives and promotions. Design and optimize drip campaigns in MailChimp that nurture leads and engage customers across the lifecycle, while monitoring performance and adjusting based on analytics and campaign results. Analyze campaign performance metrics, such as open rates, click-through rates, and conversions, using MailChimp's reporting tools to provide insights and recommendations for improvements. Conduct A/B testing on email elements like subject lines, content, and timing to enhance engagement and effectiveness in MailChimp. Ensure all MailChimp campaigns comply with email regulations (e.g., CAN-SPAM, GDPR) and best practices for optimal deliverability. Job Requirements: Proven expertise in MailChimp with a laser-focused skillset (not an email generalist). Experience in developing marketing automation workflows, building email campaigns, and optimizing drip sequences as described above. Ability to work on a short-term project remotely from US, Canada, or LATAM regions. Proficiency in HTML and CSS for creating and customizing responsive email templates within MailChimp. Strong analytical skills, including experience with A/B testing and interpreting email performance metrics in MailChimp. Knowledge of email marketing compliance laws and integration of MailChimp with other tools or CRM systems. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.   Check out our DE&I page here  
Senior Software Engineer
Location
New York City, San Francisco, United States
Job title: Senior Software Engineer Job type: Contract Contract Length: 12 months Rate: $70-90 per hour Role Location: United States The Company: A mission-driven healthcare technology organization focused on improving health equity for underserved populations across the United States. Through a scalable patient engagement and interoperability platform, the organization partners with healthcare providers to increase access to care, improve clinical outcomes, and address social drivers of health. The engineering team operates in a fully distributed environment and is scaling its integration capabilities to connect with leading EHR systems and healthcare data platforms. The team values secure, reliable, and maintainable engineering practices, with a strong emphasis on interoperability standards and cross-functional collaboration. You’ll join a collaborative, high-performing engineering team that works closely with Product, Customer Success, and external healthcare partners to deliver meaningful technical solutions that directly impact patient outcomes.   Role & Responsibilities: We’re seeking an experienced Senior Software Engineer with strong backend development experience to design, build, and scale reliable messaging and integration systems that power communication workflows across healthcare platforms. The ideal candidate has deep experience building backend services, APIs, and distributed systems, and brings a strong sense of technical ownership, system reliability, and continuous improvement. Experience working with healthcare integrations, messaging infrastructure, and data-driven decision making is highly valued. You will collaborate closely with engineering, product, customer success, and data teams to deliver scalable messaging workflows that improve patient engagement and operational outcomes. Key Responsibilities: Design, build, and maintain scalable backend services using Ruby on Rails, JavaScript, and relational databases, supporting high-volume messaging workflows, APIs, and system integrations. Develop and optimize messaging pipelines that support SMS, voice, and automated communication workflows, ensuring reliable delivery, consent management, scheduling, and orchestration of communications. Build and maintain secure API-to-API integrations that connect messaging platforms with external systems and services, ensuring reliable data exchange and workflow automation. Collaborate with engineering teams to design and evolve scalable messaging infrastructure, contributing to architectural decisions related to delivery optimization, system performance, and event-driven communication workflows. Leverage advanced SQL and analytical thinking to investigate system behavior, troubleshoot production issues, analyze delivery performance, and inform technical decisions with data. Partner closely with Product, Customer Success, Data, and Engineering teams to gather requirements, contribute to technical documentation, clarify workflows, and design messaging features that support business and user needs. Provide technical mentorship through code reviews, design discussions, and collaborative development, helping guide engineering best practices and supporting the growth of other engineers on the team. Write and maintain automated tests alongside production code, ensuring backend services are secure, reliable, and production-ready. Create clear technical documentation and internal enablement resources that help teams monitor, troubleshoot, and support messaging systems in production. Participate in on-call rotations and incident response, supporting messaging infrastructure to maintain high availability and performance. Actively contribute to engineering culture through technical reviews, retrospectives, architecture discussions, and technical debt management, helping evolve platform capabilities as the system scales. Core Requirements Minimum 5 years of hands-on software engineering experience, with strong proficiency in Ruby on Rails and JavaScript Minimum 5 years of experience building and scaling backend systems, APIs, and services Strong understanding of software development lifecycle, design patterns, object-oriented programming, and engineering best practices Advanced SQL proficiency with the ability to analyze large datasets to troubleshoot issues and inform technical decisions Experience designing and supporting high-throughput backend systems and distributed architectures Experience working in environments where automated testing is a core development practice Demonstrated ability to independently own complex features end-to-end, from technical design through production support Strong collaboration skills across technical and non-technical stakeholders Excellent written and verbal communication skills in a fully remote environment Growth-oriented mindset with strong attention to system reliability, scalability, and engineering quality Preferred Experience Experience working with messaging and communication platforms (e.g., SMS, voice, or messaging APIs) Experience designing event-driven systems, message queues, or high-throughput delivery pipelines Experience with Ruby on Rails, JavaScript (React), PostgreSQL, and cloud platforms Experience working with healthcare technology platforms or healthcare data integrations Experience contributing to API design improvements, messaging delivery optimization, or automated testing strategies Familiarity with messaging compliance requirements such as TCPA, consent management workflows, opt-out handling, or A2P messaging frameworks Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here
Senior Machine Learning Engineer
Location
Boston, Boston, United States
Salary
$150000-230000 - Per Annum
Job title: Senior Machine Learning Engineer Job type: Permanent Salary: $150K – $230K + Equity  Role Location: Boston, United States The Company: We’re partnering with a well-funded, fast-scaling healthtech startup reinventing musculoskeletal care using proprietary AI and 3D-printing technology. The business has developed a web-based, sensor-free AI vision platform that transforms a 30-second scan into a clinically approved, precision-manufactured medical device. Already trusted by Fortune 50 employers, major health systems, and national manufacturers, the platform is expanding access to preventative care for hundreds of thousands of Americans. Fresh off a stealth funding round led by top-tier VCs, the company is: Growing 10x year-over-year Profitable month over month Scaling rapidly toward $100M ARR Operating with a high-ownership, execution-first culture out of Boston This is a rare opportunity to join at a true inflection point - early enough to shape the company, late enough to have real traction. Role and Responsibilities:  We’re hiring a Senior Machine Learning Engineer to help build the core AI systems behind a next-generation healthcare platform that turns smartphone video into clinically accurate 3D models of human anatomy. You will own the pipeline that bridges raw computer vision data and physical 3D-printed medical solutions, transforming noisy real-world scans into precise, CAD-compatible models used to improve patient outcomes. This role sits at the intersection of machine learning, computer graphics, biomechanics, and real-world manufacturing. You’ll work closely with engineers, researchers, and product leaders to design systems that translate cutting-edge ML research into reliable production technology used in healthcare. Job Requirements: 3D Reconstruction & Generative Vision Strong experience building models for 3D reconstruction from video or images, including approaches such as: Signed Distance Fields (SDFs) Neural Radiance Fields (NeRFs) Gaussian Splatting Mesh-based reconstruction Point cloud processing You understand the computational trade-offs between different 3D representations and how to apply them in real-world systems. Deep Learning & Computer Vision Deep experience designing and training deep learning models for complex visual data, including non-Euclidean data structures. You are comfortable building pipelines that extract meaningful structure from noisy, real-world video and imaging data. Strong proficiency in Python and PyTorch is required. CAD & Geometry Processing Experience working with computational geometry, CAD systems, or mesh processing pipelines. You can bridge the gap between AI inference outputs and parametric CAD models that can be directly used in manufacturing and 3D printing workflows. Production Machine Learning Experience deploying machine learning systems in production environments. You are comfortable working with ML infrastructure on AWS, including model deployment, scalable inference pipelines, and optimizing performance for real-world usage. Experience with SageMaker, Lambda, or serverless ML systems is a plus. Rapid Prototyping & Research Implementation You stay up to date with the latest research and can quickly translate new advances into working prototypes. You move fast, experiment frequently, and turn research ideas into practical systems. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here
Senior Data Scientist
Location
Ymittos, Athens, Greece
Salary
€€50,000 - €65,000 - Per Annum
Job title: Senior Data Scientist Job type: Permanent Salary: Up to €60,000 Role Location: Athens, Greece – Hybrid (3 days a week onsite) The Company: Data-driven Travel Tech powering smarter pricing decisions! Role and Responsibilities We’re looking for a Senior Data Scientist to join a high-impact Data Science team that shapes the intelligence behind a leading Revenue Management System (RMS), a platform processing millions of tickets annually and helping travel operators optimise pricing, capacity, and demand forecasting across routes, seasons, and channels. You’ll work at the intersection of machine learning, optimization, and commercial strategy, designing models that directly influence business performance and customer satisfaction. What You’ll Be Doing Dynamic Pricing & Forecasting Build predictive models to forecast demand, occupancy, and revenue across routes and seasons. Design price elasticity models to recommend optimal pricing based on demand, competition, and time-to-departure. Use time-series forecasting and probabilistic modelling to anticipate external influences (weather, holidays, events, etc.). Optimization & Automation Develop algorithms that automatically adjust fares or allocations in real time. Apply reinforcement learning or optimization techniques to continuously improve pricing and inventory control. Experimentation & Causal Inference Run A/B and multivariate tests to evaluate new pricing strategies and product features. Use causal inference to pinpoint what truly drives conversion and yield performance. Data Infrastructure & Productization Work with ML and Data Engineers to deploy, monitor, and retrain models in production. Ensure scalable, reliable data pipelines and robust feature engineering processes. Business Insight & Collaboration Partner with Product, Engineering, and Commercial teams to align model outcomes with business objectives. Translate data-driven insights into actionable pricing and capacity strategies. Tech Stack & Tools Python, Pandas, NumPy, PyTorch/TensorFlow SQL, Spark Airflow, MLflow, or similar tools for workflow and model tracking AWS or GCP for scalable deployment and experimentation Impact As a Senior Data Scientist here, your models won’t sit in notebooks — they’ll drive real-world pricing and profitability decisions across millions of transactions. This is a rare opportunity to combine cutting-edge machine learning with tangible commercial outcomes in one of Europe’s most data-rich travel environments. Apply to be considered!  Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time? Check out our DE&I page here
Adversarial Testers
Location
london, London, - None Specified -
Job title: Adversarial Tester (Prompt Injection Specialist) Job type: Contract  Contract Length: 2 months + extensions Rate: 400-500 per day Outside IR35 Role Location:  EU and US Fully Remote (Must be wiling to work US East Coast hours) Role and Responsibilities:  The Prompt Injection Specialist will design and execute structured adversarial prompt testing against a LLM chatbot. The focus is exclusively on prompt-layer vulnerabilities: jailbreaks, direct and indirect prompt injection, instruction override, and boundary attacks. This is not a cybersecurity or infrastructure penetration testing role. Job Requirements:    Hands-on experience with LLM prompt injection, jailbreaking, and adversarial prompt design Strong understanding of chatbot architectures, system prompt structures, and guardrail mechanisms Familiarity with OWASP LLM Top 10, MITRE ATLAS, and relevant adversarial ML frameworks Experience designing structured prompt test sets with coverage metrics Ability to define failure taxonomies and severity classification for prompt-layer attacks Proficiency with common LLM APIs and chat interfaces (OpenAI, Anthropic, Azure OpenAI, or equivalent)   Accessibility Statement:  Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.  We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion:  Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here   

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