Senior AI/Python Developer

The Senior AI/Python Developer designs, develops, and supports secure, scalable AI-enabled applications for Wealth & Asset Management. The role focuses on Python development, Generative AI, prompt engineering, RAG, document intelligence, AI agents, and enterprise AI integration., * Design and develop production-quality applications and AI services using Python.

• Build Generative AI capabilities using Amazon Bedrock and Large Language Models (LLMs).
• Design, develop, test, and optimize prompts and prompt engineering techniques, including prompt templates, structured outputs, and reusable prompt patterns.
• Develop Retrieval-Augmented Generation (RAG), intelligent search, embedding, and vector retrieval solutions.
• Build AI agents and agent-based workflows using frameworks such as Strands Agents.
• Develop reusable AI services and APIs using technologies such as FastAPI and Pydantic.
• Integrate AI solutions with structured and unstructured enterprise data.
• Support document processing and extraction using Amazon Textract, where appropriate.
• Implement vector-based retrieval using PostgreSQL/pgvector.
• Implement safeguards for AI output quality, reliability, validation, traceability, and secure data handling.
• Optimize AI solutions for performance, latency, token usage, and cost.
• Develop automated testing and evaluation capabilities for AI solutions.
• Collaborate with application, data, DevOps, QA, architecture, cybersecurity, and business teams.

• 8+ years of experience in Python development, software engineering, AI/ML engineering, or related roles.
• Strong hands-on experience with Python, REST APIs, FastAPI, Pydantic, and boto3.
• Experience with Amazon Bedrock, LLM integration, and Generative AI solutions.
• Strong experience with prompt engineering, including prompt design, testing, optimization, structured outputs, and evaluation.
• Experience with RAG, embeddings, semantic search, vector databases, and PostgreSQL/pgvector.
• Experience developing AI agents and agentic workflows, preferably using Strands Agents.
• Experience with Amazon Textract, AWS, Docker, and automated testing.
• Strong understanding of AI security, data protection, responsible AI, and enterprise governance.
• Experience working within large enterprise or regulated environments.