Client outcomes
Did the system meet the metric agreed in writing, and does it keep meeting it in Run?
Careers
Senior AI Engineer / Forward-Deployed Engineer
- Type
- Full time
- Location
- Mumbai, hybrid, with regular time at client sites across India
- Experience
- 6 years or more
- Salary
- Range shared in the first conversation
About the role
A forward-deployed engineer is the person who turns a client’s problem into a working system inside the client’s walls. You will be the technical lead on our engagements. You will run the workshops, find the part of the problem that matters, design the system, write a lot of the code, and stand in front of the client’s leadership to explain the evaluation results, good or bad.
This is one of the first senior engineering hires at a new firm. You will shape how we build, how we measure and how we hire.
What you will do
- Lead Discover workshops with operations, IT and leadership teams. Turn what you see into a scoped use case, a success metric and an evaluation plan.
- Design the architecture: model choice, retrieval, agent and tool design, guardrails, integration, hosting and cost.
- Build the hard parts yourself, and review the code of AI Engineers and Interns.
- Own the evaluation: agree the evaluation set and target with the client, and report scores honestly.
- Work through security reviews, data-protection questions and sector rules (DPDP, RBI, IRDAI, SEBI) with client IT, risk and compliance teams.
- Integrate with what the client runs: core banking, SAP, Tally, Salesforce, Zoho, WhatsApp, telephony and legacy databases.
- Plan staged launches, rollback, monitoring and on-call. Hand over cleanly into the Managed AI retainer.
- Write the documents that matter: design notes, risk registers, evaluation reports and runbooks.
- Help us hire, interview and mentor.
What we are looking for
You should have
- 6 or more years building and running software in production, including time as a tech lead or senior engineer.
- Shipped at least one LLM-based system to real users, and can explain how you evaluated it and what broke.
- Strong Python, and solid backend skills: APIs, databases, queues, testing, CI/CD and containers.
- Depth in at least two of: retrieval and search, agents and tool use, speech, document AI, evaluation and observability, ML platform and inference.
- Experience integrating with enterprise systems and working inside a client’s security and change processes.
- Calm, clear communication with non-technical leaders. You can say “this will not work, and here is why” in a way people thank you for.
- Willingness to travel to client sites, when the work needs it.
Good to have
- Consulting, solutions engineering or professional services experience.
- Work in Indian BFSI, healthcare, retail or manufacturing.
- One or more Indian languages, spoken and written.
- Experience hosting open-weight models: vLLM or similar, quantisation and GPU cost control.
- Familiarity with the DPDP Act 2023 and its Rules, ISO/IEC 27001 or ISO/IEC 42001.
How you will be measured
Engineering quality
Is the system secure, observable, documented and supportable by someone else?
Team
Are the engineers around you getting better?
How to apply
- 01Fill in the form on this page and upload your CV (PDF or Word, up to 5 MB).
- 02If you can share it, add a link to a design document or write-up you are proud of.
- 03In 250 words or fewer, tell us about a system you took to production: the problem, the architecture, how you measured it, and one decision you would change.
Prefer email? Write to careers@envisstack.com with the subject “Application: Senior AI Engineer / FDE” and attach your CV. We reply within 5 working days. The process is a 30-minute conversation, a practical design exercise (3 to 4 hours), a 60-minute review that includes a mock client conversation, and a final conversation with both founders.