GEN AI Senior Developer

We are seeking an experienced and innovative Generative AI Developer to join our AWAC team. In this role, you will lead the design and development of GenAI and Agentic AI applications using state of the art LLMs and AWS native services. You will work on both R&D focused proofof concepts and production grade implementations, collaborating with cross-functional teams to bring intelligent, scalable solutions to life.
Key Responsibilities Design, develop, and deploy Generative AI and Agentic AI applications using LLMs such as Claude, Cohere, Titan, and others. Lead the development of proof of concept (PoC) solutions to explore new use cases and validate AI driven innovations. Architect and implement retrieval augmented generation (RAG) pipelines using LangChain and Vector Databases like OpenSearch. Integrate with AWS services including Bedrock API, SageMaker, SageMaker JumpStart, Lambda, EKS/ECS, Amazon Connect, Amazon Q. Apply few shot, one shot, and zero shot learning techniques to fine tune and prompt LLMs effectively. Collaborate with data scientists, ML engineers, and business stakeholders to translate complex requirements into scalable AI solutions. Implement CI/CD pipelines, infrastructure as code using Terraform, and follow DevOps best practices. Optimize performance, cost, and reliability of AI applications in production environments. Document architecture, workflows, and best practices to support knowledge sharing and onboarding. Required Skills & Technologies Experience in Python development, with at least 2 years in AI/ML or GenAI projects. Strong hands on experience with LLMs and Generative AI frameworks. Proficiency in LangChain, Vector DBs (e.g OpenSearch), and prompt engineering. Deep understanding of AWS AI/ML ecosystem: Bedrock, SageMaker, Lambda, EKS/ECS. Experience with serverless architectures, containerization, and cloud native development. Familiarity with DevOps tools: Git, CI/CD, Terraform. Strong debugging, performance tuning, and problem solving skills. Preferred Qualifications Experience with Amazon Q, Amazon Connect, or Amazon Titan. Familiarity with Claude, Cohere, or other foundation models. Bachelors or Master s degree in Computer Science, AI/ML, or a related field. Experience in building agentic workflows and multi agent orchestration is a plus.