
Job Title: Senior AI Engineer
Job Type: Contract
Contract Length: 6+ Months (Extension Potential)
Rate: Competitive Hourly Rate (DOE)
Role Location: Central Florida (Hybrid and Onsite Opportunities)
Signify Technology is partnering with innovative organizations across Central Florida that are investing in Artificial Intelligence, Machine Learning, and next-generation software solutions. We are actively building a network of experienced AI Engineers for upcoming consulting engagements with clients ranging from high-growth startups to established enterprise organizations.
If you're passionate about developing cutting-edge AI solutions and enjoy working on impactful technology projects, we'd love to hear from you.
Design, develop, and deploy AI-powered applications using modern machine learning frameworks.
Build and optimize Large Language Model (LLM) integrations for enterprise applications.
Develop Retrieval-Augmented Generation (RAG) pipelines and intelligent automation solutions.
Collaborate with software engineers, data teams, and business stakeholders to deliver scalable AI products.
Create and consume RESTful APIs to integrate AI services into existing platforms.
Deploy and support AI solutions within AWS, Azure, or Google Cloud environments.
Monitor, optimize, and improve model performance, scalability, and reliability.
Participate in architecture discussions and contribute to best practices for AI development.
5+ years of professional software engineering experience.
2+ years of hands-on experience developing production AI or Machine Learning solutions.
Strong programming experience with Python.
Experience working with LLM frameworks such as LangChain, LlamaIndex, OpenAI APIs, Anthropic, or similar technologies.
Experience implementing Retrieval-Augmented Generation (RAG) solutions.
Familiarity with vector databases such as Pinecone, Weaviate, Chroma, or Milvus.
Experience building and integrating RESTful APIs.
Cloud experience with AWS, Azure, or Google Cloud Platform.
Experience using Git and modern CI/CD practices.
Excellent communication skills and the ability to work within cross-functional Agile teams.
Preferred Qualifications:
Experience with Hugging Face or open-source LLMs.
Kubernetes and containerization experience.
MLOps experience.
Experience developing AI agents or autonomous workflows.
Previous consulting or client-facing experience.
Experience within SaaS, Healthcare Technology, FinTech, Robotics, Manufacturing, or Cloud Technology environments.
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.
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.