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.

Company: SiftHub

Role: Applied AI engineer

Location: Mumbai, Maharashtra, India | Engineering | Full-time

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

Key Skills:

Python engineering
LangChain
LlamaIndex
FastAPI
LLMs such as OpenAI GPT-4 or Anthropic Claude
Vector databases like Pinecone, ElasticSearch or pgvector
Cloud platforms such as AWS or Azure

Qualification:

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

Role Focus: • 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

Nice 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

Other:

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

Applied AI engineer

Skills Required

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