Senior AI Automation Engineer designing context-driven AI solutions utilizing LLMs. Collaborating with cross-functional teams to integrate intelligent automation workflows.
Responsibilities
Design, optimize, and evaluate prompts for LLMs
Architect and implement dynamic context management strategies
Integrate, fine-tune, and orchestrate LLMs within Python-based applications
Build and manage complex conversational and agent workflows using frameworks like LangGraph
Develop and maintain robust backend services, APIs, and (optionally) front-end interfaces
Work closely with product, data science, and engineering teams to define requirements
Implement testing, monitoring, and evaluation pipelines
Requirements
Bachelor level degree or equivalent in Computer Science or related field
Deep experience with full-stack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)
Demonstrated expertise in prompt engineering for LLMs (OpenAI, Anthropic, open-source LLMs)
Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies
Hands-on experience integrating AI agents and LLMs into production systems
Proficiency with agentic/conversational flow frameworks such as LangGraph
Familiarity with Retrieval-Augmented Generation (RAG) pipelines and multi-agent orchestration
Experience with cloud infrastructure, containerization (Docker), and CI/CD practices
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