FullStack AI Engineer

International Permanent View Job Description
As a Full-Stack AI Engineer in Gurgaon, you will build and scale AI-powered internal products, own the end-to-end technology stack, and translate business problems into production-ready solutions using LLMs, backend systems, and modern web technologies. You'll serve as the firm's core engineering owner, driving AI innovation, infrastructure, security, and operational excellence while working closely with investment and operations teams.
  • Work directly with one of India's leading early-stage VC firms
  • Hybrid work model with flexibility, collaboration, and continuous learning.

About Our Client

The organisation operates in the financial services industry, specialising in venture capital and private equity in Gurgaon.

Job Description

● Build solutions in collaboration with the team. In many cases the person will own a problem from the requirement itself - the sole builder, prototype included. In others they will take a prototype the team has already built into production, working alongside whoever built it, understanding the intent, and agreeing jointly on what to harden, what to rebuild and what to retire.

● Own the operational foundation: deployment, CI/CD, monitoring, backups, secrets management, role-based access and audit logging.

● Build the evaluation and guardrail layer. An agent that is correct eighty percent of the time on deal data remains a liability until its accuracy can be measured and bounded.

● Design scalable APIs and data models (Node.js / Express.js, MongoDB) and clear, responsive interfaces (React / Next.js).

● Own production incidents personally, from alert through resolution to post-mortem.

● Integrate LLMs and AI APIs into production applications: retrieval, agents, tool use, and structured extraction from unstructured documents.

● Maintain our data posture under India's DPDP Act and under LP security review.

● Work from problem definition rather than a specification. Translate the requirements of the investment and operations teams into technical solutions, and challenge them where the trade-offs warrant it.

● Raise the technical capability of the team. Review what non-engineers ship, provide them with patterns and guardrails, and ensure they can continue prototyping without you becoming a bottleneck.

● Study how leading teams are deploying AI, and bring the architectures worth adopting back to organisation .

The Successful Applicant

We're looking for someone who has:

● Demonstrated experience shipping LLM-based systems into production, with real users depending on them.

● Fluency in prompt engineering, retrieval design and evaluation. You can distinguish a production-ready model output from one that is not.

● Backend, where this role sits heaviest. Four or more years building APIs and data models in Node.js / Express.js with MongoDB, alongside SQL and substantial experience with messy third-party data. Job queues, retries, rate limits and schema drift are familiar territory.

● Frontend. React / Next.js. Pixel-perfect design work is not required. Interfaces that are fast, clear and difficult to misuse are.

● Networking and infrastructure fundamentals. HTTP, DNS, TLS, VPCs, load balancing, authentication flows and latency budgets. You can trace a slow request from browser to database and account for the time.

● Genuine DevOps competence, including hands-on responsibility for systems running in production.

● A working security instinct. You understand the cost of a credential in a repository, the case for role-based access, and the response required when a vendor token is compromised. Application security or ethical hacking experience is an advantage.

● Comfort inheriting code you did not write. Some of your work begins as someone else's prototype, and you can read it, respect the intent behind it, and rebuild it constructively.

● High initiative. You locate the answer, the architecture or the right person without being directed to them.

● Willingness to be the sole engineer, to make product decisions independently, and to carry the operational load alongside new development.

● Strong collaborative skills. You can sit with an investor, extract the real requirement from an imprecise brief, and explain a technical trade-off without jargon.

What's on Offer

  • A permanent role in Gurgaon.
  • Opportunities to work on cutting-edge AI projects in financial services.
  • Competitive salary and benefits package.
  • Hybrid work environment offering flexibility and collaboration with a high-performing team.



If this role fits your experience, feel free to apply.

Quote job ref
JN-102026-7121476

Job summary

Function
Banking & Financial Services
Sub Sector
Venture Capital & Private Equity
What is your area of specialisation?
Financial Services
Location
International
Job Type
Permanent
Job Reference
JN-102026-7121476

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.