Machine Learning Engineer

SourcingXPress; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

SourcingXPress in Bengaluru is looking for a skilled AI Services Developer. This role involves building and running AI services focused on document understanding, HR policies, and policy extraction. Candidates should have strong Python skills and 4+ years of experience in AI/ML development. Responsibilities include designing data pipelines, evaluating AI outputs, and collaborating with backend engineers. Competitive salary package of ₹15-25 Lacs PA available.

Qualifications

• 4+ years of experience in ML / AI software development.
• Strong Python skills.
• Hands-on experience with LLM APIs (such as OpenAI).
• Experience with at least one vector database.
• Experience with RAG or LLM orchestration frameworks.
• Experience building and deploying ML/AI services in production.
• Strong understanding of evaluation and monitoring for AI systems.

Responsibilities

• Build data pipelines to ingest laws, HR policies and company documents.
• Design and run RAG pipelines using LLMs and vector databases.
• Create prompts and tools to extract structured rules from text.
• Work with backend engineers to connect AI outputs to rule engines and APIs.
• Evaluate AI quality and track key metrics.
• Document your work clearly and share best practices.

Skills

Machine Learning

Python

LLM APIs

Vector Databases

RAG Frameworks

AI Evaluation

Job description

Role Summary

Build and run our AI services for document understanding, RAG and policy extraction to support HR and payroll decisions.

Company: Tech Beam Designs Inc

Website: Visit Website

Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Salary Range: ₹ 15-25 Lacs PA

Key Responsibilities

• Build data pipelines to ingest laws, HR policies and company documents.
• Design and run RAG pipelines using LLMs and vector databases.
• Create prompts and tools to extract structured rules from text.
• Work with backend engineers to connect AI outputs to rule engines and APIs.
• Evaluate AI quality, improve prompts and retrieval, and track key metrics.
• Document your work clearly and share best practices with the team.

Requirements (Must Have)

• 4+ years of experience in ML / AI software development.
• Strong Python skills.
• Hands-on experience with LLM APIs (such as OpenAI) and embeddings.
• Experience with at least one vector database (Pinecone, Qdrant, Weaviate, etc.).
• Experience with at least one RAG or LLM orchestration framework (LangChain, LlamaIndex or similar).
• Experience building and deploying ML/AI services in production.
• Strong understanding of evaluation and monitoring for AI systems.

Good to Have

• Background in NLP or information retrieval.
• Experience with legal tech, HR tech or regulatory technology.
• Experience with human-in-the-loop workflows and confidence-based routing.
• Experience with rule engines or policy-as-code frameworks.