Job Description

Position Summary

Assent is building a governed agentic AI platform that takes use cases from business idea through to production — deployed as governed services accessible across the company. You’ll work directly with business stakeholders across Sales, Customer Success, Enterprise Systems, and other functions to identify high-impact opportunities, design and build the agents that solve them, and ship them into a governed catalog where they become the recent baseline for the rest of the organization.

This is not a classical ML role and not a traditional software engineering role. You’ll spend your time designing agent loops, orchestrating tools and sub-agents, building RAG pipelines grounded in real enterprise data, and working with non-technical stakeholders to translate a business problem into a production-ready agentic solution — with observability, cost control, and governance built in from day one.

Key Requirements & Responsibilities

Responsibilities include:

- Design and build production agent systems: tool calling, sub-agent orchestration, memory and context management, multi-step reasoning workflows — using frameworks such as LangChain, LangGraph, CrewAI, or MCP-based architectures.





- Partner directly with business unit stakeholders to scope use cases: understand the problem, identify the right pattern, and co-design the solution rather than working purely from a written spec.

- Build and tune RAG pipelines grounded in Assent’s enterprise data: Confluence, Jira, Snowflake, Salesforce — including retrieval strategy, embeddings, and evaluation for relevance and faithfulness.

- Build evaluation harnesses and observability into every agent you ship: accuracy, hallucination rate, latency, and cost, with monitoring that holds up in production.

- Take solutions from proof-of-concept to production deployment, working within established patterns for authentication, cost metering, and logging.

- Contribute reusable patterns back into a shared library so that what you build for one team becomes accessible to the next — every solution should raise the floor for the whole organization.

- Work closely with the platform and integration team to ensure what you build deploys cleanly into the governed catalog rather than living as a standalone one-off.

📌 SR Agentic AI Engineer (Pune)
🏢 Assent
📍 Pune