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Lead AI Developer - AWS Bedrock & Generative AI

CirrusLabs

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.


You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.


You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented < J ob Title > to join our team. If you're excited to be part of a winning team, CirrusLabs () is a great place to grow your career.
About the Role:


CirrusLabs is seeking 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.

Why Join Us?


At CirrusLabs , we deliver digital transformation with purpose . You'll work on industry-defining AI projects , build cutting-edge systems that scale , and shape the future of healthcare innovation alongside a passionate team of technologists and problem-solvers.
Vacancy posted 1 day ago
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