Applied AI engineer

SiftHub; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Health insurance

Direct access to founder

Access to best-in-class dev tools

Job summary

A forward-thinking AI company in Mumbai seeks an Applied AI Engineer to design and own end-to-end retrieval-augmented generation (RAG) pipelines. The ideal candidate will have 3-6 years of experience in production NLP/ML, strong Python skills, and an understanding of LLMs. This role involves collaborating with backend engineers and defining metrics for success. The company offers a workspace in Mumbai and values in-person collaboration, coupled with benefits such as health insurance and access to cutting-edge development tools.

Qualifications

• 3–6 years of experience with production NLP/ML models.
• Solid Python engineering fundamentals.
• Experience with vector databases.

Responsibilities

• Design and own end-to-end RAG pipelines.
• Define quality metrics and build evaluation systems.
• Collaboration with Backend engineers.

Skills

Production NLP/ML experience

Building RAG systems

Familiarity with LLMs

Python engineering fundamentals

Education

Bachelor’s or Master’s degree in Computer Science

Tools

LangChain

FastAPI

AWS

Job description

SiftHub is an Agentic Platform for Deal Orchestration. We deploy agents to automate sales collateral, deal briefs, RFPs, and post-meeting follow-ups; unblocking deals for sales and solutions teams.SiftHub collates and sifts through your ecosystem (Drive, Gong, CRM, Slack, and more) to identify and convert real-time deal signals into tailored content and ready-to-execute actions. Designed to replicate how top-performing reps execute deals. Trusted by revenue teams at Saviynt, Everlaw, Allego, Superhuman, Sirion and more.

Why This Role Exists

SiftHub's core value is the quality of the intelligence it surfaces to sales teams - delivered through a web app, Chrome extension, Microsoft add-in, and Google Sheets integration. That intelligence comes from a combination of retrieval, reasoning, and generation and it only works if every layer is built and evaluated with care. We need an Applied AI engineer who can design and own these pipelines end to end: not just get them working, but get them reliably good and measurably improving over time.

What You'll Own

End-to-end RAG pipelines: retrieval architecture, chunking strategy, re-ranking, and prompt design

Evaluation frameworks: defining quality metrics, building eval harnesses, and tracking pipeline health over time

Agentic workflows and LLM integration: multi-step reasoning, tool use, orchestration, model selection, context management, latency, and cost optimisation

Collaboration with Backend engineers to serve NLP outputs at production quality and latency

Research-to-production translation: staying current and knowing what’s worth shipping

Experience & Core Skills

Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience

3–6 years of production NLP/ML experience with shipped models or pipelines used by real users

Hands-on experience building and improving production-grade RAG systems

Experience defining quality metrics and building evaluation systems for LLM outputs

Solid Python engineering fundamentals with production-grade code (not just notebooks)

Experience with LangChain, LlamaIndex, FastAPI, or similar agentic frameworks

Experience working with LLMs such as OpenAI GPT-4 or Anthropic Claude

Familiarity with vector databases like Pinecone, ElasticSearch or pgvector

Experience deploying or working with cloud platforms such as AWS or Azure

Good to Have

Experience with multi-agent orchestration patterns

Familiarity with enterprise data sources (heterogeneous formats, noisy inputs, schema variation)

Exposure to latency and cost optimisation for LLM-powered products

Background in sales tech, CRM data, or B2B SaaS environments

What We Offer

Work on genuinely hard AI problems, not CRUD apps

Direct access to founder

Access to best-in-class dev tools and AI assistants to help you do your best work

Health insurance

In-office in Mumbai, we value building together in person

Are you willing to work from office in Mumbai?**

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Current CTC (Mention Fixed & variable)*

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