Senior Software Engineer Python with GenAI, LLM

We are seeking an experienced AI Engineer to design and build production-grade Generative AI solutions with a strong focus on agentic workflows multi-agent systems and enterprise AI applications. The ideal candidate combines strong software engineering fundamentals with hands-on expertise in LLMs RAG architectures and AI agent frameworks.

• Design architect and develop scalable Generative AI applications and agentic solutions for real-world business use cases
• Build and orchestrate AI agents using frameworks such as LangChain LangGraph Google ADK CrewAI AutoGen Microsoft Copilot Studio or similar technologies
• Develop and maintain backend services APIs microservices and data pipelines that power AI-driven products
• Implement advanced AI patterns including RAG Agentic RAG tool/function calling planning & reflection loops and human-in-the-loop workflows
• Engineer and optimize prompts system instructions and agent workflows to improve reliability accuracy and user experience
• Integrate LLMs with enterprise systems third-party APIs vector databases and knowledge repositories
• Monitor evaluate and continuously improve model and agent performance using observability tools metrics and user feedback
• Collaborate closely with Product Engineering Data and Design teams to deliver impactful AI solutions
• Stay current with emerging AI technologies frameworks and best practices contributing innovative ideas to the team
• Document architectures design decisions and reusable solution patterns while supporting knowledge sharing across teams

• 57 years of professional experience in software development
• Hands-on experience building applications using Generative AI and LLM technologies
• Strong proficiency in Python and experience developing production-ready applications
• Hands-on experience with at least two agentic AI frameworks such as LangChain LangGraph Google ADK CrewAI AutoGen or Microsoft Copilot extensibility
• Experience with cloud AI platforms including Azure OpenAI AWS Bedrock or Google Vertex AI/ADK
• Strong backend development skills including REST/gRPC APIs asynchronous programming Docker and frameworks such as FastAPI or Flask
• Solid understanding of leading LLMs including OpenAI GPT models Anthropic Claude Google Gemini and open-source alternatives
• Practical experience building RAG solutions using vector databases such as Pinecone Weaviate ChromaDB or Qdrant
• Expertise in prompt engineering LLM orchestration structured outputs guardrails ReAct patterns and evaluation techniques
• Strong problem-solving system design and architectural decision-making skills
• Excellent communication skills with the ability to collaborate effectively across global teams