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Strong employer brand and generic software title raise competition, but niche LangChain/agentic LLM skills reduce applicant density.
Specialized agentic LLM and LangChain expertise limits cross-industry portability.
Mandated LangChain/LLM expertise, Python proficiency, and degree create moderately strict technical filters.
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Design, build, and deploy autonomous agents operating in dynamic environments, including implementing multi-agent systems and complex workflows using frameworks like LangGraph/LangChain.
Lead end-to-end lifecycle of agentic projects, including project scoping, task breakdown, backlog management, and coordinating schedules across multiple teams.
Optimize large language model interactions (LLMs) for enhanced reasoning and reduced hallucinations; develop and integrate tools, APIs, and databases enabling real-world agent actions; provide status updates and risk assessments to leadership.
Advanced degree in Computer Science, Information Systems, Engineering, Mathematics, or related field.
Minimum 1+ years of software development experience.
Proficiency in Python and SQL programming, with experience in agentic frameworks such as LangChain, LangGraph, or AutoGen.
Excellent communication skills to translate technical details into project timelines for non-technical stakeholders.
Experienced in autonomous AI agent development using modern agentic frameworks and able to manage full project lifecycles in agile environments.
Skilled in large language models (LLMs) optimization, prompt engineering, and integrating AI capabilities into software development cycles.
Capable of bridging technical and non-technical domains by coordinating multi-team dependencies and communicating complex technical progress effectively.