Software Engineer - Artificial Intelligence

upGrad · Bengaluru

  • Experience4–5 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted10 Sept 2026
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About upGrad

upGrad is hiring in Bengaluru in education. This role looks for around 4+ years of experience.

Skills

  • Generative AI
  • Large language models
  • Retrieval-augmented generation
  • NLP
  • Embeddings
  • Vector search
  • Python
  • FastAPI
  • Flask
  • Django
  • REST APIs
  • Docker
  • Git
  • CI/CD
  • Cloud platforms
  • System design

The role

A generative AI engineer at an education technology platform builds production intelligent applications using generative AI, retrieval-augmented generation, and large language models, and develops scalable APIs and microservices with Python and FastAPI. This person applies NLP, vector search, and cloud deployment to deliver low-latency AI features.

Full job description

Designation - Software Engineer - Artificial IntelligenceBusiness Unit - Higher EducationDepartment - TechnologyExperience Range - 4 yearsLocation - Bengaluru, Karnataka

About upGrad:upGrad is one of India’s leading higher edtech platforms, serving millions of learners across 100+ countries with strong university and industry partnerships. With a mission to enable career success through outcome-driven learning, upGrad is now building its next growth engine focused on undergraduate learners across India.

About the Role:We are looking for a Software Engineer – Artificial Intelligence who is passionate about building intelligent systems that solve real-world problems. You’ll work at the intersection of machine learning, large language models (LLMs), and backend engineering, turning research into production-ready systems.

This is a hands-on engineering role with a strong emphasis on scalable AI integration, prompt engineering, RAG (retrieval-augmented generation), and building intelligent APIs and microservices.

What You'll DoDesign and build AI-powered applications using LLMs (OpenAI, LLaMA, Mistral, etc.), vector databases, and embedding modelsBuild scalable backend systems and APIs (Python, FastAPI, Node.js, etc.) to serve AI features in production.Develop retrieval-augmented generation (RAG) pipelines and manage unstructured knowledge bases (PDFs, docs, audio).Optimize inference pipelines for low latency and cost (e.g., with Ollama, vLLM, or LangChain).Work with tools like Whisper, HuggingFace, and Pinecone/ChromaDB/WeaviateWrite clean, modular code and lead by example in engineering excellence.Collaborate closely with product, design, and ML teams to rapidly prototype and ship feaures.

Must-Have Skills:4+ years of software engineering experience (Python preferred).Hands-on experience with LLMs, generative AI, or custom ML workflows.Strong understanding of NLP, embeddings, and vector search.Experience with FastAPI / Flask / Django and REST APIs.Solid grounding in Docker, Git, and CI/CD pipelines.Comfortable with cloud platforms (AWS/GCP/Azure) and containerized deployments.Strong debugging, performance tuning, and system design skills.

Good to Have:Experience with LangChain, Haystack, or custom RAG frameworks.Familiarity with Whisper (speech-to-text) or audio/video transcription pipelines.Frontend knowledge in React.js is a bonus.Experience scaling AI systems to serve 10k+ users.MLOps exposure (MLFlow, Weights & Biases, etc.).