About the ProjectThe Ops Layer is building HELIOS, an AI-powered operational intelligence platform that transforms organizational questionnaire responses into structured, evidence-grounded decision intelligence.
HELIOS analyzes information from multiple organizational stakeholders to identify recurring operational decisions, decision ownership, authority boundaries, escalation conditions, dependencies, and governance gaps.
An initial implementation already exists, including data ingestion, LLM processing, claim extraction, semantic normalization, evidence lineage, and structured Excel output.
We are looking for an experienced Applied AI Engineer to evaluate, strengthen, and advance the existing system, with particular emphasis on semantic reasoning accuracy, reliability, and production readiness.

Key Responsibilities• Review and assess the existing AI processing architecture and Python backend.
• Improve extraction and interpretation of source-grounded organizational claims.
• Develop reliable recurring-decision identification and semantic consolidation.




• Distinguish operational decisions from activities, recommendations, inputs, prerequisites, and authority statements.
• Preserve decision ownership, approval boundaries, conditions, numerical thresholds, and exception paths.
• Prevent hallucinated decisions, unsupported authority assignments, and incorrect organizational diagnoses.
• Implement evidence-validation mechanisms and source-level traceability.
• Build automated LLM evaluation, regression testing, and quality assurance frameworks.
• Optimize pipeline performance, reliability, and deployment stability.
• Maintain clear technical documentation and reproducible development environments.

Required Technical Experience• Robust Python backend engineering, preferably FastAPI and SQLAlchemy.
• Hands-on experience developing and deploying LLM-powered applications.
• Experience with OpenAI, Anthropic, or comparable commercial LLM APIs.
• Structured extraction, JSO

📌 Senior Applied AI Engineer — LLM Reasoning (Mumbai)
🏢 The Ops Layer
📍 Mumbai