AI Engineer
Primary stack
Nice to have's
Job description
About the Position
AI Engineer
Unico Connect is seeking a Junior AI Engineer to join their team in Mumbai, India. The role involves building and shipping production AI features for client web and mobile products. This position is ideal for early-career engineers with hands-on LLM project experience and a desire to deepen their knowledge in 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 behavioral 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
Requirements
- 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
Nice to Have
- Fine-tuning experience including LoRA, QLoRA, or full fine-tunes
- Open-source LLM deployment with Llama, Mistral, or Qwen models
- Gemini Enterprise Agent Platform (formerly Vertex AI) or AWS Bedrock production deployment experience
- Voice AI or computer vision exposure
- Open-source contributions to AI tooling or model libraries
AI Tools Proficiency
Production engineering at Unico Connect assumes AI tools form part of the daily workflow rather than an experimental augmentation. For this role specifically:
- Claude, ChatGPT, or Cursor as a daily coding driver
- LangSmith or Langfuse for evaluation runs and production trace inspection
- Replicate or Modal for short-cycle model hosting experiments
- Perplexity for AI research and prior-art investigation
We Offer
- Hybrid working model - 1 day work-from-home per week
- MacBook Pro and external monitor for work
- Paid subscriptions to Claude, ChatGPT, and Cursor
- Team events, offsites, and outings
- Referral bonus when you bring in a successful hire
About the Company
At Unico Connect, we value:
- AI-augmented by default: Fluent with AI tools relevant to your craft.
- Comfortable with startup pace: Fast cycles, real ownership, low ceremony.
- Driven by value creation: Output and outcomes matter more than process.
- Ownership mindset: Treat the codebase, deliverable, and client relationship as your own.
- Builder energy: Join because you want to ship amazing tech products.
Ready to build the future?
Join our team of engineers and help us shape the next generation of AI-native software for clients across the globe.
Apply
Send your CV to [email protected]
© Unico Connect. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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