Lead AI Developer

Job Title: Lead AI Developer AWS Bedrock & Generative AI

Location: Alpharetta, GA (HYBRID)

Duration: 6-12 months contract

About the Role:

Cirrus Labs seeks a Lead AI Developer to join our cutting-edge AI initiative in the healthcare industry. This role is ideal for a hands-on technologist with deep expertise in AWS Bedrock, Generative AI, Large Language Models (LLMs), AI-powered search, and Agentic AI workflows. You ll take ownership of designing and deploying scalable, real-world AI applications with a strong focus on Retrieval-Augmented Generation (RAG), vector databases, and cloud-native deployment.

This is a high-impact role collaborating with cross-functional teams to drive the next generation of AI in healthcare.

Key Responsibilities:

• Design, build, and deploy scalable AI-powered applications using Amazon Bedrock, OpenAI, or Hugging Face models.
• Implement Retrieval-Augmented Generation (RAG) pipelines for intelligent document understanding and summarization.
• Build and optimize Agentic AI workflows for complex decision-making and task automation.
• Extract and vectorize data from unstructured sources to improve model performance and retrieval accuracy.
• Work with vector databases such as OpenSearch, FAISS, or Pinecone to enable low-latency AI search capabilities.
• Deploy APIs using AWS ECS (preferred), Lambda, and other AWS cloud-native tools with a focus on scalability and cost efficiency.
• Tune AI model performance with fine-tuning, caching strategies, and inference optimization.
• Lead Proof-of-Concept (PoC) efforts for rapid prototyping and business validation.
• Collaborate with data engineers, ML engineers, and cloud architects to drive innovation and excellence in delivery.

Required Skills & Experience:

• 6 10 years of total experience in software engineering with a recent focus on AI and cloud-native development.
• Hands-on experience with LLMs, generative AI models, and AI search systems.
• Strong knowledge of Amazon Bedrock or similar platforms like OpenAI or Hugging Face.
• Deep familiarity with RAG pipelines, vector stores, and knowledge retrieval techniques.
• Proven experience in building Agentic AI workflows for autonomous decision-making and task orchestration.
• Strong coding skills in Python or similar languages commonly used in AI development.
• Experience deploying APIs and services via AWS ECS, Lambda, and other serverless technologies.
• A mindset for experimentation, iteration, and performance optimization.

Nice to Have:

• Prior experience in healthcare or insurance data workflows.
• Knowledge of Kubernetes, Docker, or other container orchestration tools (even though ECS is preferred).
• Familiarity with AWS cost optimization techniques for AI workloads.