Careers
AI Engineer
- Type
- Full time
- Location
- Mumbai, hybrid, with time at client sites
- Experience
- 2 to 5 years
- Salary
- Range shared in the first conversation
About the role
You will build the AI systems we deliver to clients: support agents on WhatsApp, document pipelines that read claims and invoices, knowledge assistants over SOPs, and agents that reconcile ledgers. You will work on one or two engagements at a time, from the pilot to production and into the managed retainer.
The model is rarely the hard part. The hard parts are the data, the integration, the edge cases and the measurement. This role is for an engineer who enjoys those.
What you will do
- Design and build AI features end to end: prompts and context, retrieval, tool calling, agent workflows, and the services around them.
- Build and own evaluation sets with client experts. Run evaluations on every change and report the scores honestly.
- Integrate with client systems through APIs, databases and files: WhatsApp Business Platform, CRMs, Tally, SAP, core banking and document stores.
- Compare models, commercial and open-weight, on accuracy, latency and cost, and recommend one with evidence.
- Add guardrails, personal-data redaction, logging and monitoring before anything reaches users.
- Deploy to client cloud accounts and on-premise environments, working with their IT and security teams.
- Spend time on site with users. Watch them use the system, collect failures, and fix them.
- Write clear design notes, runbooks and handover documents.
What we are looking for
You should have
- 2 to 5 years of software engineering experience, with at least one system you built running in production.
- Strong Python, and comfort with APIs, SQL, Git, testing and Docker.
- Hands-on work with model APIs: prompting, structured outputs, tool calling, and handling failures and rate limits.
- Experience building or improving a retrieval system: parsing, chunking, embeddings, vector search and reranking.
- A habit of measuring. You can describe how you knew a change was an improvement.
- Clear communication in English with technical and non-technical people.
Good to have
- Hindi, Marathi, Tamil or another Indian language, spoken and written.
- Experience with speech (ASR and TTS), document AI or OCR.
- Work with Indian enterprise systems: Tally, SAP, Finacle, Zoho, Salesforce or similar.
- Experience in a regulated sector such as banking, insurance or healthcare.
- Cloud experience on AWS, Azure or Google Cloud, ideally in Indian regions.
- Familiarity with agent frameworks and the Model Context Protocol (MCP).
What your first 90 days look like
First 30 days
Join a live engagement. Read the code and the evaluation set. Ship your first change to production with review.
By 60 days
Own a component, such as the retrieval layer or the integration with the client’s CRM. Lead one evaluation review with the client.
By 90 days
Run a workstream on your own and present its weekly quality report to the client.
An honest note
Envisstack is a new company, and you would be one of the first people here. That means real ownership and the chance to shape how we work. It also means less structure than an established firm. The legal entity, Envisstack India Private Limited, is being formed. This role starts once it is incorporated and our first client engagement is signed. We will tell you the expected start date and the full terms before any offer.
How to apply
- 01Fill in the form on this page and upload your CV (PDF or Word, up to 5 MB).
- 02Add links to work you can share, such as GitHub or a portfolio.
- 03In 200 words or fewer, describe an AI or data system you built: what it did, how you measured it, and the hardest bug you fixed.
Prefer email? Write to careers@envisstack.com with the subject “Application: AI Engineer” and attach your CV. We reply within 5 working days. The process is a 30-minute conversation, a 3 to 4 hour practical exercise, a 60-minute review, and a final conversation with both founders.