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Known employer, attractive AI title, mid-level seniority, and metro hiring increase candidate competition.
Role requires specialized LLM, prompt-engineering, and AI-integration experience, limiting cross-industry portability.
Many mandatory technical skills (LLMs, prompt engineering, Azure, parsing, eval harness) create strict shortlisting filters.
Own and architect the AI-assisted migration platform including AI integration, Azure cloud components, and agent/skill/harness design.
Lead AI/ML strategy decisions such as model selection, fine-tuning vs prompting, cost/latency trade-offs, and fidelity scoring metrics.
Manage delivery and stakeholder engagement, mentor a 3–8 person AI/automation engineering team, handle risk, rollback, and security reviews.
Proficient in Node.js/TypeScript or Python for programming and parsing tasks.
Experience with XML/JSON parsing and building parsers, ASTs, or rule engines.
Familiarity with AI/LLM engineering including prompt engineering, LLM API integration (Anthropic, OpenAI, Azure OpenAI), and RAG/classification pipelines.
Degree: B.E/B.Tech/M.Sc. Computers/MCA; Work Experience Required: Not explicitly mentioned in the JD.
Experienced in end-to-end AI platform design and cloud architecture, especially on Azure services.
Capable of leading medium-sized AI/automation teams with responsibility for technical delivery and stakeholder communication.
Skilled in integrating AI/LLM solutions with existing tools and APIs, with a background in prompt engineering and model evaluation.