Module Lead

Any Bachelor's Degree 8+ Years Senior Developer (Agentic AI) We are seeking a highly skilled Agentic AI Developer to contribute to the design and delivery of AI platform that powers clinical, regulatory, and enterprise decision-making workflows. This role focuses on building agent-driven, production-grade AI solutions leveraging LLMs, RAG, and multi-agent architectures, integrated within a scalable enterprise platform. You will work closely with Solution Architects, Product Owners, and cross-functional developer to enable reusable AI capabilities, accelerate delivery across use cases, and ensure alignment with enterprise architecture and enterprise standards. Strong Python engineering experience (7+ years) Hands-on expertise in FastAPI / backend API development Experience building LLM/GenAI solutions in production Familiarity with AWS Bedrock or equivalent GenAI platforms Experience with Langfuse or LLM observability tools Strong understanding of: RAG architectures Vector databases (Pinecone, OpenSearch, FAISS) Prompt engineering and evaluation Experience with React / modern frontend frameworks Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a Software Engineer or Machine Learning Engineer. Experience with Python document processing libraries (python-docx, PyPDF2, PyMuPDF Knowledge of asynchronous programming in Python (asyncio) Experience in clinical, regulatory, or life sciences domains Exposure to GxP-compliant system development Familiarity with: LangChain, AutoGen Knowledge of: Enterprise data integration AI governance frameworks Experience with Kubernetes, Docker Any Bachelor's Degree 8+ Years Senior Developer (Agentic AI) We are seeking a highly skilled Agentic AI Developer to contribute to the design and delivery of AI platform that powers clinical, regulatory, and enterprise decision-making workflows. This role focuses on building agent-driven, production-grade AI solutions leveraging LLMs, RAG, and multi-agent architectures, integrated within a scalable enterprise platform. You will work closely with Solution Architects, Product Owners, and cross-functional developer to enable reusable AI capabilities, accelerate delivery across use cases, and ensure alignment with enterprise architecture and enterprise standards. Strong Python engineering experience (7+ years) Hands-on expertise in FastAPI / backend API development Experience building LLM/GenAI solutions in production Familiarity with AWS Bedrock or equivalent GenAI platforms Experience with Langfuse or LLM observability tools Strong understanding of: RAG architectures Vector databases (Pinecone, OpenSearch, FAISS) Prompt engineering and evaluation Experience with React / modern frontend frameworks Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a Software Engineer or Machine Learning Engineer. Experience with Python document processing libraries (python-docx, PyPDF2, PyMuPDF Knowledge of asynchronous programming in Python (asyncio) Experience in clinical, regulatory, or life sciences domains Exposure to GxP-compliant system development Familiarity with: LangChain, AutoGen Knowledge of: Enterprise data integration AI governance frameworks Experience with Kubernetes, Docker