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Tier‑1 brand, popular GenAI role, mid‑level experience, and metro locations increase applicant competition.
Specialized LLM/agent engineering and managed‑services experience create strong domain specificity and limited transferability.
Explicit 3–5 years plus many mandatory LLM, Python, API, and automation technology requirements increase filter strictness.
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Support transition and management of outsourced AI managed services to improve client operations and efficiency.
Apply automation frameworks, process optimization, and workflow automation to reduce costs and enhance service delivery.
Manage delivery teams and programs focusing on performance, delivery risk, and continuous improvement initiatives.
3 to 5 years of relevant experience in AI/GenAI engineering and managed services.
Strong skills in Python development and API engineering (Python, FastAPI, Flask, Pydantic, Git).
Experience with Agentic AI & LLM development tools (LangChain, LlamaIndex, OpenAI Agents SDK, MCP, CrewAI).
Bachelor's degree and oral/written proficiency in English.
Demonstrates expertise in designing and developing automation frameworks and business process automation.
Skilled in operational performance management and continuous process improvement within technology consulting.
Experienced in workflow automation, cloud and DevOps fundamentals with a focus on project delivery and stakeholder alignment.