AI Engineer AI & Data · Junior (1-3 Years)

Unico Connect LLP.; Mumbai; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Unico Connect LLP. is seeking an AI Engineer in Mumbai to develop and deploy production-level AI features for web and mobile applications. The ideal candidate will support LLM integration and implement RAG pipelines while collaborating closely with senior engineers.

Qualifications include a Bachelor's degree in Computer Science or related field and 1-3 years of experience in software engineering, particularly with LLM projects. Python proficiency is essential for this position, along with familiarity in relevant AI tools.

Qualifications

• 1-3 years of software engineering experience with at least 1 production LLM project shipped.
• Capacity to write and maintain evaluation harnesses for non-deterministic LLM outputs.
• Comfort reading research papers and translating ideas into production code.

Responsibilities

• Build LLM-powered features including chatbots, copilots, and agentic workflows.
• Implement RAG pipelines end-to-end covering ingestion, chunking, embeddings, and reranking.
• Write Python backends with FastAPI to expose AI capabilities as production APIs.

Skills

Strong Python (FastAPI or Django)

Hands-on experience with OpenAI, Anthropic, or Google Gemini APIs

Familiarity with LangChain or LangGraph

Knowledge of vector databases (Pinecone, Weaviate, or pgvector)

Education

Bachelor's degree in Computer Science, Artificial Intelligence, or related field

Tools

FastAPI

Node.js or TypeScript

PostgreSQL

Job description

Overview

Unico Connect is seeking an AI Engineer to build and ship production AI features for client web and mobile products. The role spans LLM integration, RAG pipeline implementation, evaluation harness setup, and the day-to-day engineering that turns AI proof-of-concepts into reliable production systems. The position is well suited to early-career engineers with hands-on LLM project experience and the appetite to deepen into RAG, agentic workflows, and AI-engineering best practices.

Responsibilities

• Build LLM-powered features including chatbots, copilots, RAG search, document AI, and agentic workflows
• Implement RAG pipelines end-to-end covering ingestion, chunking, embeddings, vector indexing, and reranking
• Write Python backends with FastAPI to expose AI capabilities as production APIs
• Set up evaluation pipelines with LangSmith or Ragas to catch behavioural regressions before deployment
• Integrate AI features into React and Next.js client apps with streaming, fallbacks, and rate limiting
• Monitor LLM costs and latency in production; implement caching, model tiering, and prompt compression
• Triage AI-specific incidents including hallucinations, prompt injections, and retrieval poisoning
• Contribute to internal AI engineering documentation, runbooks, and architecture write-ups
• Pair with Senior AI Engineers on architecture decisions and code reviews
• Participate in weekly AI engineering reviews and quarterly evaluation framework retrospectives

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
• 1-3 years of software engineering experience with at least 1 production LLM project shipped
• Strong Python (FastAPI or Django) and at least basic Node.js or TypeScript
• Hands-on experience with OpenAI, Anthropic, or Google Gemini APIs
• Familiarity with LangChain or LangGraph, prompt engineering, and embedding-based retrieval
• Working knowledge of vector databases (Pinecone, Weaviate, or pgvector)
• Capacity to write and maintain evaluation harnesses for non-deterministic LLM outputs
• Comfort reading research papers and translating ideas into production code
• Excellent written communication including code comments, ADRs, and incident write-ups
• Working knowledge of REST APIs, async patterns, and PostgreSQL fundamentals