Senior Product Engineer

Bangalore, India · Full-time

At trmeric, we're building the AI platform where enterprise transformation lives. Every large company is trying to reinvent itself with technology - and most of that work still runs on scattered spreadsheets, slide decks, and guesswork. We're replacing that with an integrated, intelligent system that aligns business and IT, connects strategy to execution, and turns transformation from high-variance bets into proven, measurable ROI.

At our core is a sophisticated, multi-layered AI architecture, a Knowledge Fabric that maps hundreds of entities and thousands of attributes across an enterprise; an AI reasoning engine built on agentic RAG and transformation-tuned prompting that reasons like an expert leader; and a team of specialist AI agents - that share memory, reason together, and act across a customer's entire transformation. It's an enterprise digital brain, and you'd be one of the people building it.

Headquartered in San Ramon, California, with teams across the US and Bangalore, trmeric is a fast-growing, AI-native startup. Within a year of GA we're already partnering with some of the world's largest enterprises. We're SOC 2, GDPR, CCPA, and DPDPA certified and now building enterprise-grade capabilities for the most demanding organizations on earth. This is the steep part of the curve - the part great engineers remember for the rest of their careers.

First things first: we don't do job descriptions at trmeric.

A job isn't what we're offering. We're inviting you to join us on ambitious missions that matter - so we write Mission Descriptions (MDs) instead of JDs. We assume you already know what a typical role entails, so we skip the laundry list. Instead, we focus on who we are, what we value, and the impact you'll make.

As a Senior Product Engineer, you'll own product surfaces end-to-end - from a rough idea in a customer conversation to polished, AI-powered experiences running in production for the world's largest enterprises. You'll work across the full stack (React on the front; Python services behind), wire real intelligence - agents, retrieval, evaluations - into product experiences people love, and ship at a pace most companies only talk about. 

You'll sit at the intersection of product, design, and AI engineering, and you'll behave less like a resource on a team and more like a founder of your area.

Here's your mission, should you choose to accept it.

Own features from first principle to production: shape the problem with product and design, build the frontend, AI and the backend, instrument it, launch it behind flags, and iterate on real usage. No handoffs, no waiting - if something is in the way of shipping, you clear it. Your definition of done is a customer using it, not a PR merged.

Our product is powered by a team of AI agents - and the hardest, most interesting work is making that intelligence feel effortless in the UI. You'll work along with our AI engineers to bring agents, RAG pipelines, and evaluation loops into product surfaces: streaming reasoning into views, designing for uncertainty and failure modes, and making an enterprise digital brain feel as simple as a consumer app.

Enterprise software doesn't have to feel like enterprise software. You bring frontend performance and polish - fast loads, fluid interactions, obsessive attention to detail - and the backend competence (APIs, data models, auth, background jobs) to make it hold up at enterprise scale. You raise the quality bar for everyone around you without slowing anyone down.

Ship v0s quickly, run experiments, use analytics and feature flags, and be low-ego about throwing away what doesn't work. You're comfortable with ambiguity - you'd rather make a good decision today than a perfect one next sprint - and you know which corners can be cut and which never should.

Obsess over customers. Run technical discovery with stakeholders, communicate at executive grade, and take accountability for the business impact of what you build. When you see something broken - in the product, the process, or the plan - you fix it. At trmeric, accountability and teamwork aren't posters on a wall; they're how we win.

• A track record of shipping modern web applications end-to-end - we care far more about what you've built and shipped than years on a resume.
• Deep TypeScript, React knowledge- with the frontend performance instincts and polish to show for it.
• Solid backend competence in Python - APIs, databases, auth, background jobs, and experience scaling products in production.
• Real AI literacy - working knowledge and experience of LLM APIs, prompt engineering, agent tooling, RAG pipelines, and eval frameworks; you've built with AI.
• Strong product intuition - a sharp eye for what good product looks like, first-principles thinking, and genuine curiosity about users.
• High agency and founder-like ownership - you ship fast, own outcomes, and thrive in high-velocity, cross-functional teams.
• Executive-grade communication - you can run discovery with customers, align designers and engineers, and present crisply to leadership.
• An AI-first mindset and systems thinking - you reach for AI tools and agents in your own workflow and reason about the whole system, not just your slice.
  

1. Hands-on LLM/GenAI product experience (RAG, agents, evals, fine-tuning - building with AI, not just around it); 
2. full-stack product shipping - owning features end-to-end and getting them to production; 
3. Startup / 0-to-1 comfort - ambiguity, small teams, many hats; and 
4. senior-level depth and leadership - architecture judgment.
5. Strong technical depth across the modern stack—frontend, backend, AI, and DevOps—with the judgment to set architecture and standards.
6. A track record of introducing best-in-class engineering processes—agile delivery, CI/CD, quality, observability, and security

Skills:

• TypeScript + React - expertise on frontend technologies
• Backend competence - Python,Flask,Django, APIs, databases, auth, background jobs. Experience scaling products
• LLM application stack - Direct experience with LLM APIs (Anthropic, OpenAI) and agent frameworks. prompt engineering, model selection, tool design, skill writing, context window management, Open source models, Context engineering, Prompt chaining, Multi-turn reasoning and eval harness development
• Agent engineering - Multi-step agents with tool use, caching strategies, parallel tool calls, subagent patterns, MCP (Model Context Protocol), Memory, Self correction, Instrumentation and observability of agent behavior in production.
• Evaluation frameworks - Building eval harnesses, regression tracking, offline/online A/B testing. 
• Retrieval and RAG - Embeddings, vector stores, retrieval and ranking, context summarization, memory, Chunking strategies, Hybrid search, Metadata filtering, Knowledge graphs, GraphRAG
• Production infrastructure - Deploying and scaling AI systems, latency optimization, cost management, cloud (AWS), containers, CI/CD.

Location: We believe in the synergy of in-person collaboration and are looking for someone based in Bangalore, India. We value face-to-face time while accommodating the need for flexibility.

Compensation: Competitive and reflective of the talent we attract. This isn't just another step - it's a leap into meaningful growth, ownership, and learning.

Join us in shaping the future of enterprise transformation at trmeric - where the most interesting AI product problems are waiting for someone to own them.