This website uses cookies to ensure you get the best experience.

Hub Platform Technology Partners Limited and our selected partners use cookies and similar technologies (together “cookies”) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes.

See our Cookie Policy to read more about the cookies we set.

You can withdraw and manage your consent at any time, by clicking “Manage cookies” at the bottom of each website page.

Select which cookies you accept

On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly.

If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link “Manage Cookies”, which is always available at the bottom of the site.

To learn more about what the different types of cookies do, how your data is used when they are set etc, see our Cookie Policy.

These cookies are necessary to make the site work properly, and are always set when you visit the site.

Vendors Teamtailor

These cookies collect information to help us understand how the site is being used.

Vendors Teamtailor
Hub Platform Technology Partners Limited career site
Gurugram

AI Engineer

We usually respond within three days

Role Summary

We are seeking a Full-Stack AI Engineer with strong hands-on experience in Generative AI, agentic AI systems, and modern web/backend development. This role is perfect for someone who loves to blend AI capabilities with full-stack engineering, building end-to-end GenAI-powered applications that run in production. You’ll work with Azure AI ecosystem (Azure OpenAI, Azure ML, Cognitive Services) and agentic frameworks (LangChain, LlamaIndex, Hugging Face) while also designing scalable APIs, UIs, and integration layers.

You should think like a builder—comfortable with both coding products and orchestrating AI agents, not just tweaking ML models.

Key Responsibilities

1. AI Applications & Agentic Systems

  • Design and develop GenAI-powered applications using Azure OpenAI, Azure Cognitive Services, and LangChain/LlamaIndex.
  • Build multi-agent architectures for autonomous reasoning, workflow automation, and integrations with enterprise systems.
  • Implement RAG pipelines with embeddings, vector databases (Azure AI Search, Pinecone, Weaviate), and APIs.

2. Full-Stack Development

  • Build backend services and APIs (Python FastAPI / Node.js / Express) to integrate GenAI features into applications.
  • Develop frontend components (React/Next.js, TypeScript) to deliver user-facing AI-powered experiences.
  • Apply best practices in scalable backend systems, event-driven design, and API-first development.

3. Azure Deployment

  • Deploy and manage AI services on Azure AI Foundry, Azure Functions, Kubernetes.
  • Set up CI/CD pipelines, model/service versioning, and monitoring.
  • Ensure production systems are secure, performant, and cost-optimized.

4. Collaboration & Impact

  • Work closely with Product & Engineering teams to translate business use cases into AI-driven features.
  • Provide mentorship to junior engineers on full-stack + GenAI integration.
  • Stay updated on LLM frameworks, orchestration tools, and multi-agent systems.

Qualifications & Skills

Experience:

  • 4–7 years in software engineering, with at least 2 years in Generative AI / LLM applications.
  • Proven track record in full-stack development (React/Next.js, Node.js, Python).
  • Hands-on experience with Azure AI (OpenAI, Cognitive Search, Azure ML).

Technical Skills:

  • Frontend: React/Next.js, TypeScript, Tailwind (or similar).
  • Backend: Python (FastAPI, Flask), Node.js/Express.
  • GenAI: Prompt engineering, embeddings, vector DBs, RAG pipelines, agentic design.
  • Cloud & Infra: Azure services, Docker, Kubernetes, CI/CD pipelines.

Soft Skills:

  • Strong problem-solving with a product-builder mindset.
  • Ability to explain GenAI solutions clearly to both technical and business stakeholders.
  • Comfortable in a startup culture (fast-moving, ownership-driven).

Why Join Us?

  • Work on cutting-edge agentic AI applications with real-world impact in fintech & enterprise ops.
  • Be part of a fast-growing AI startup where you own features end-to-end.
  • Learn and build at the intersection of GenAI + full-stack development.


Locations
Gurugram
Work mode
On-site

Our jobs

More jobs

Our team

To all potential Hubsters, we are a team of dedicated experts in HUB offices across the world, united in the common pursuit of building the Financial Operations HUB of the future.

Own it
Be “ALL IN”. We are disciplined, commercially minded and
committed to the business and our team. We find a way that
leads to success for HUB and our customers.
Enjoy the journey
We are positive, we embrace the challenge and have fun
along the way. We celebrate the wins; we are respectful to
everyone while building trusting and rewarding relationships.
Be relentless
Obstacles do not hold us back or slow us down. Our ambitions
never stop — they enable us to think big while we stay focused
to deliver big.
Embrace uncertainty
We are building a market defining operating model. The path
to delivery in not set. To deliver we adapt, we debate, we align
and we move forward together.

Gurugram

AI Engineer

Loading application form