Gen AI Engineer

Actively Reviewing the Applications

CG-VAK Software & Exports Ltd.

India, Karnataka, Bengaluru Full-Time

Posted 2 days ago • Apply by July 1, 2026

Job Description

Role & Responsibilities

As a Junior GenAI Engineer , you will contribute to the AI layer of our product - working on features that make Zenskar intelligent. This is not a research role and not a prompt-engineering role.

You will learn to build production AI systems that enterprise clients depend on, under the guidance of senior engineers. Reliability, observability, and rigorous evals matter as much as the AI capability itself, and you will grow into full ownership over time.

Contribute to CS Copilot - a real-time assistant for customer success teams, spanning STT pipelines, live transcription, and LLM-powered suggestions
Work on LLM-powered document understanding features - extracting structured, reliable data from unstructured enterprise documents
Help build AI feature UIs - learning to own the interface layer, not just the model integration
Contribute to eval frameworks - learning to define what 'working' means for AI features and help catch regressions
Support model selection and integration decisions - learning to choose the right provider and approach for each use case
Assist with AI platform reliability - observability, fallback behaviour, and graceful degradation when models fail
Work closely with product, customer success, and the full-stack engineer - learning how AI features become usable and trusted by real users

THE IMPACT YOU'LL MAKE-

You will grow into defining what AI means at Zenskar - contributing to features that are the most visible and differentiated parts of the product
CS Copilot, if done well, changes how enterprise customer success teams operate every single day - you'll be part of that journey
You will learn engineering culture around AI reliability - evals, observability, and disciplined iteration
Your work will contribute to enterprise deals - AI features are increasingly a buying criterion for our clients
You will grow from shipping supported features to shipping things that hold up under real enterprise usage

Ideal Candidate

Strong Junior GenAI / AI Backend Engineer Profiles
Mandatory (Experience 1) – Must have 1+ years of full time expeirence in software development using LLMs (OpenAI / Gemini / similar) in projects (internship / full-time / strong personal projects)
Mandatory (Experience 2) – Must have strong coding skills in Python and hands-on backend development experience (FastAPI / Django preferred)
Mandatory (Experience 3) – Must have built or contributed to AI/LLM-based applications, such as chatbots, copilots, document processing tools, etc.
Mandatory (Experience 4) – Must have basic understanding of RAG concepts (embeddings, vector DBs, retrieval)
Mandatory (Experience 5) – Must have experience building APIs or backend services and integrating with external systems
Mandatory (Experience 6) – Must have AI/LLM projects clearly mentioned in CV (with what was built, not just tools used)
Mandatory (Experience 7) – Must have worked with modern development tools (Git, APIs, basic cloud exposure)
Mandatory (Tech Stack) – Strong in Python + basic AI/LLM ecosystem
Mandatory (Company) – Product companies / Funded startups (Series A / B / high-growth environments)
Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies
Mandatory (Exclusion) - Avoid candidates with Only Prompt Engineers, from pure Data Science / ML theory background without backend coding, Frontend-heavy engineers.

Perks, Benefits and Work Culture