Work with us

InteligenAI is a full-stack AI solution development company. We work with startups and enterprises to build custom AI products. We’re not a large team (yet), but we’re a driven one, solving real business problems with purpose and precision. No fluff. No hype. Just meaningful work, with people who care. What matters most to us is how we work with curiosity, ownership, and a deep respect for the craft.

We’re looking for people who think deeply, build thoughtfully, and want to grow with a team that values impact over titles. You’ll have a voice at the table, space to learn, and the opportunity to make your work count. If that sounds like your kind of place, check out our open roles. We’d love to meet you.

Backend Engineer

Gurugram | 3–5 Years Experience | Full Time

About the role: 

We’re hiring a Backend Engineer with strong software engineering fundamentals and hands-on experience in data-heavy systems, ML pipeline integration, and streaming data. You’ll focus on backend development- building APIs, services, and infrastructure while also collaborating with data/ML teams to scale intelligent features into production. This role is suitable for you if you have an entrepreneurial mindset, a hunger for learning, and enjoy your work. You will be handling multiple responsibilities simultaneously, where you will be challenged every day. Please do not apply if you are looking for a 9-5 kind of role.

Key responsibilities:

  • ML Pipelines: Build and maintain ML pipelines. From data ingestion and feature engineering to model serving and monitoring.
  • Backend Development: Design and build scalable RESTful/GraphQL APIs using Node.js, Python, or similar.
  • Pipeline Integration: Work with ML engineers to integrate training/inference pipelines into backend systems.
  • Streaming & Real-Time Systems: Build and maintain data ingestion and processing systems using Kafka or similar tools.
  • DevOps & Infra: Collaborate on containerization, deployment (Docker), and CI/CD pipelines.
  • System Design: Contribute to architectural decisions, database modeling, and backend scaling strategies.

Must have skills:

  • 3–5 years of backend development experience.
  • Proficient in Python with knowledge of JavaScript/Node.js.
  • Hands-on experience with ML pipelines.
  • Exposure to MLOps tools: Docker, Kubernetes, model registries, deployment frameworks.
  • Familiarity with cloud infrastructure (AWS, GCP, or Azure) and serverless deployment practices.
  • Familiarity with streaming technologies (e.g., Kafka).
  • Solid experience with SQL and NoSQL databases.
  • Prior experience integrating machine learning models into backend systems or APIs.
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AI Engineer

Gurugram | 3–5 Years Experience | Full Time

About the role:

We are looking for a hands-on and skilled Senior AI Engineer to join our team. You will work closely with the founding team to build and scale AI-driven solutions, contribute to the design and development of GenAI systems, and help turn ideas into production-ready products. This role is suitable for you if you have an entrepreneurial mindset, a hunger for learning, and enjoy your work. You will be handling multiple responsibilities simultaneously, where you will be challenged every day. Please do not apply if you are looking for a 9-5 kind of role.

Key responsibilities:

  • Lead AI Initiatives: Architect, prototype, and deploy GenAI and ML solutions across real-world use cases.
  • Hands-On coding: Roll up your sleeves and build- whether it’s a fine-tuned LLM, smart chatbot, or GenAI-enabled applications.
  • Work closely with the CEO: Act as a thought partner to the founder and contribute to strategic decisions.
  • Build & mentor the team: Lead a growing AI/Tech team.
  • Product-First mindset: Collaborate with product and design teams to ship AI-driven features that solve real user problems.
  • Stay ahead: Continuously explore and experiment with cutting-edge GenAI tools and APIs.
  • Pre-sales: Working with clients, advising on AI strategy, preparing proposals, and solving issues.

Must have skills:

  • 3–5 years of experience in AI/ML, data analytics roles.
  • Solid knowledge of GenAI and experience building scalable solutions using LLMs, prompt engineering, embedding models, etc.
  • Proficient in Python and frameworks like LangChain, Hugging Face Transformers, OpenAI, Pinecone / FAISS, etc.
  • Strong understanding of data analytics, data pipelines, and ability to move from prototype to production.
  • Ability to independently manage projects, make decisions, and take ownership from Day 1.
  • Intuitive understanding of the math behind GenAI systems such as LLMs.

Good to have:

  • Experience with MLOps tools (e.g., MLflow, Airflow, Weights & Biases).
  • Familiarity with vector databases and cloud deployment (AWS/GCP).
  • Open-source contributions or personal GenAI projects.
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