AI (Python) Developer (Hybrid)
Core
Design, develop, test, and maintain AI agents and generative AI applications using Python, focusing on agent orchestration, prompt engineering, and RAG capabilities.
Role type
Senior IC AI Developer (Generative AI Agents)
Builds
Production AI agents, agent workflows, and generative AI applications for enterprise clients.
Domain
Enterprise Technology / Generative AI / Cloud Services
Deliverable
production ML models | product features
Required skills
Python development, AI agent development, prompt engineering, agent orchestration, RAG implementation, boto3/botocore, API integration, automated testing, Git/CI/CD
Preferred skills
Advanced agentic AI workflows, prompt library design, hallucination mitigation, Amazon Bedrock, LangGraph/LangChain, vector databases, MCP services, PeopleSoft integration, Docker
Technologies
Python, boto3, botocore, LLM APIs, MCP, Vector Databases, Docker, Git, CI/CD
Responsibilities
Design and develop AI agents and generative AI applications; Engineer agent workflows using LLMs for reasoning and tool selection; Optimize system prompts and prompt-engineering components; Implement agent orchestration logic including state and context management; Develop RAG capabilities including query formulation and semantic search; Create automated tests and evaluation methods for agent behavior and response quality; Collaborate with experts to translate business problems into AI use cases; Maintain source code, technical designs, and AI development artifacts.
Seniority
Senior, hands-on IC