AI Engineer

Job Description Must Have Hands-on Experience: AI Agents & Multi-Agent Systems LLM Fine-Tuning & Model Development AWS Bedrock / Google Vertex AI / Azure OpenAI LangChain / LangGraph / Agentic Workflow Tools Python (NumPy, Pandas) DynamoDB, S3, Postgres, SQL Server Vector Databases: Pinecone, Weaviate, ChromaDB Must-Have Skill Set: Strong experience designing & implementing AI agentic systems Expertise in Large Language Models (LLMs) and fine-tuning Hands-on with AWS Bedrock, Vertex AI, Azure OpenAI Skilled in A2A, ADK, LangChain, LangGraph Strong Python programming Knowledge of structured/unstructured data workflows Experience with vector databases for agent memory Ability to lead, mentor, and collaborate with cross-functional teams Must-Have Keywords in Resume: AI Engineer, AI Agents, Multi-Agent Systems, LLM, Large Language Models, Fine-Tuning, AWS Bedrock, Vertex AI, Azure OpenAI, LangChain, LangGraph, Agentic AI, Python, NumPy, Pandas, DynamoDB, S3, Postgres, SQL Server, MySQL, Pinecone, Weaviate, ChromaDB, Vector Databases, AI Orchestration, A2A, ADK. Job Description (Short Summary): Hiring an AI Engineer with strong hands-on experience in AI agent development, LLM fine-tuning, and building scalable agentic systems using AWS Bedrock, Vertex AI, and Azure OpenAI. Candidate must be proficient in Python and vector databases, and skilled in tools like LangChain and LangGraph. Responsibilities include designing end-to-end agentic workflows, deploying solutions at scale, mentoring engineers, and collaborating with business & technical teams. Job Types: Full-time, Contract Pay: $50.00 - $55.00 per hour Work Location: In person