Senior Machine Learning Engineer - NLP

Observe.AI builds an AI agents platform for customer experience, deploying agents that handle customer conversations and support contact centre teams for brands including DoorDash and Signify Health. This role is on its machine learning team, building the LLM and agentic capabilities that power the product. You design and develop LLM powered features and multi agent systems end to end from idea to production, build and maintain the scalable systems those capabilities run on, and optimise models and processing pipelines for performance, cost and scale. The volume is real: the posting describes handling millions of interactions daily. It also offers something many applied ML roles do not, which is the opportunity to publish at top conferences and to influence product and platform strategy. It suits an ML engineer with production NLP depth rather than a researcher who has only worked on benchmarks.

What the posting asks for: 3 or more years of industry experience building large scale NLP and NLU systems, with recent hands on work in LLMs and LLM powered paradigms including agentic AI.

The real day to day: designing and developing state of the art LLM powered AI capabilities and agentic or multi agent systems end to end, from idea through to production, in a fast moving startup environment. Working with current tooling across machine learning, deep learning and natural language processing. Building and maintaining highly scalable production systems that power the AI capabilities in the product. Optimising ML models and processing pipelines for performance, cost effectiveness and scale. Mentoring more junior engineers and influencing peers and stakeholders. Collaborating across engineering, product, customer facing teams and customers.

What the team offers beyond the work: Observe.AI states that you will have the opportunity to publish at top conferences and to influence the company's product and platform strategy, and describes the ML team as working on multi agent systems, LLMs and applied research turned into production systems handling millions of interactions daily.

Location and setup: Bengaluru. The posting does not state office days.

Honest fit guidance: the posting says plainly that it wants someone who is "truly an engineer at heart", and the responsibilities back that up: this is applied ML with a heavy production systems component, not a research seat. If your experience is fine tuning and evaluation without owning the serving path, expect the scale and reliability parts to be the stretch. At 3 or more years it is one of the more accessible senior ML openings on the board, and it sits in the same company as an SDE III backend role also listed today, which is a different team.