• Design and develop agentic AI systems that can verify their own outputs and recover from failures.
• Develop and optimize LLM-based agent workflows, including prompt design, tool use, structured outputs, retrieval, and context management.
• Write and review SQL queries against undocumented production database schemas and determine whether the available data supports specific conclusions.
• Understand client business contexts and identify when AI-generated results may be incorrect or unreliable.
• Build evaluation frameworks by defining success criteria, implementing measurements, and monitoring system accuracy.
• Investigate cases where systems complete successfully but generate valid-looking yet incorrect outputs.
• Evaluate the effectiveness of deterministic checks, safeguards, retries, and validation mechanisms.
• Work directly with business users to convert vague issues such as “this looks wrong” into specific, reproducible technical problems.
• Diagnose root causes using actual error data and implement appropriate fixes.
• Deploy and maintain reliable production agentic AI systems and improve their post-launch reliability.
• Work independently on technically ambiguous problems and continuously learn new AI tools and techniques.
Requirements
• Hands-on experience in LLM engineering and Agentic AI, beyond basic chatbot development.
• Strong understanding of structured outputs, tool calling, retrieval, context management, and prompt engineering.
• Ability to design prompts as versioned engineering artefacts rather than ad-hoc prompts.
• Strong SQL and database skills, particularly the ability to work with inconsistent or undocumented production schemas.
• Robust analytical and debugging skills, with the ability to identify the actual root cause from error data.
• Ability to evaluate AI system outputs and verify claims before accepting or presenting them.
• Experience building AI/LLM evaluation frameworks, success criteria, measurement systems, a
📌 AI/ML Engineer — Agentic Systems (India)
🏢 MarketScope
📍 India
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