DevOps Engineer | SDE - 1 | SDE  - 2

Preferable Location(s):
Pune, India | Mumbai, India | Chennai, India | Delhi, India | Hyderabad, India
Work Type:
 Full Time
Salary Range:
 $65K - $70K  

Role: AI Engineer

Function: AI / Machine Learning Engineering

Location: HSR Layout, Bengaluru

Type: Full-time

Industry: Information Technology & Services, Fintech, AI

About Company

The company builds AI agents for Wall Street equity analysts. Its platform automates financial research — earnings analysis, risk tracking, proxy reviews, and idea generation.

It uses proprietary large language model technology purpose-built for institutional workflows. A 14-person seed-stage team backed by $2.5M in funding.

Co-founded by two IIT-BHU graduates with deep expertise in finance and AI/ML engineering. Investors include DeVC India, Inventus Capital, and other prominent angels.

Position Overview

As an AI Engineer, you will build AI-powered features end-to-end — from LLM pipelines and RAG systems to backend APIs and frontend interfaces. You will work directly with founders and users to ship high-impact products in a fast-moving, zero-to-one environment.

Role & Responsibilities

  • Design and build AI agent workflows and RAG pipelines that extract insights from financial documents at scale
  • Own full-stack features from architecture and backend APIs to frontend UI using TypeScript and React
  • Integrate and optimize LLM APIs (OpenAI, Claude, Gemini) for latency, cost, and accuracy in production
  • Build and maintain vector database infrastructure across Pinecone, Weaviate, and pgvector for semantic search and document retrieval
  • Implement LLMOps practices including evaluation frameworks, prompt versioning, and model monitoring
  • Collaborate directly with founders and the Customer Success team to gather user feedback and iterate rapidly
  • Write clean, well-tested, production-grade code with a focus on performance and system reliability

Must Have Criteria

  • 2–6 years of experience in AI/ML or backend engineering roles
  • Hands-on experience building and deploying RAG pipelines using LangChain or LlamaIndex
  • Production experience with LLM APIs — OpenAI, Anthropic Claude, or Google Gemini
  • Backend development experience with Python or Node.js, including REST API design
  • Frontend experience with TypeScript and React (or Next.js) for building product interfaces
  • Production experience with vector databases — Pinecone, Weaviate, or pgvector
  • Demonstrated track record of shipping end-to-end features in a fast-paced or startup environment

Nice to Have

  • Prior experience at a Series A or Series B startup building from zero to one
  • Exposure to financial data, fintech products, or equity research workflows
  • Experience with LLMOps tooling — evaluation frameworks, prompt management, or model observability
  • Familiarity with distributed systems and optimizing for latency/cost at scale
  • Degree from a Tier-1 engineering college (IITs, NITs, BITS, or equivalent)

What We Offer

  • Direct impact — your work will be used by analysts at top hedge funds and mutual funds on Wall Street
  • Close collaboration with founders who bring 15+ years of domain expertise in equity research
  • Fast-paced, zero-to-one environment with high ownership and minimal bureaucracy
  • Competitive compensation with equity upside at an early-stage, high-traction company
  • Bengaluru office in HSR Layout with a collaborative, cross-functional team

FAQs

Have questions about our features or pricing?
Speak to us
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