AI Senior Engineer Tech lead (Pune)

AI Senior Engineer Tech lead (Pune)

03 Oct
|
Money Forward India
|
Pune

03 Oct

Money Forward India

Pune

The Context & Harness Committee is moving from strategy to execution. We are seeking three hands-on AI Tech Leads to define and validate our context engineering standards and evaluation harness before company-wide rollout.

Core responsibilities

• Lead the technical design and delivery of the assigned Context and Harness workstreams

• Review context formats, ontology models, harness proposals, and integration approaches.

• Support pilot teams across MFBS divisions with context conversion, fixture authoring, and evaluation.

• Define how GitHub, Notion, and Slack content maps into the agent context engine.

• Establish guidelines for federated context routing and token-budget allocation across sources.

• Contribute to an ontology proof of concept covering one domain and one workflow using YAML-based schemas.

• Validate integration with internal or external agent platforms, including access and smoke testing.

• Capture pilot evidence and contribute to the standard and company best-practices package.

Requirements
Required skills

Context engineering skills





• RAG and retrieval pipelines:Design advanced search and retrieval systems that supply models with accurate, relevant, and timely information.

• Context-window and token management:Compress conversation history, prioritize practical context, and filter noise to optimize model attention and cost.

• Memory architecture:Build short-term and persistent memory systems that allow agents to retain state across tasks and interactions.

• Instruction curation:Structure plain-English operating rules, Markdown files, domain guides, and other instructions for dynamic injection into agent tasks.

• Context formats and knowledge modeling:Design context layers and reusable knowledge assets using Markdown, YAML, schemas, and related formats.

Harness engineering skills

• Tool and MCP integration: Connect models to external APIs, execution environments, tools, and Model Context Protocol (MCP) servers.

• Sandboxing and permis

📌 AI Senior Engineer Tech lead (Pune)
🏢 Money Forward India
📍 Pune

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