Senior software engineer

3 days ago

Bangalore, India UpGrad Full time

About the Role - We are looking for a Senior Software Engineer – AI 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 Do - ● Design and build AI-powered applications using LLMs (Open AI, LLa MA, Mistral, etc.), vector databases, and embedding models ● Build scalable backend systems and APIs (Python, Fast API, 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, v LLM, or Lang Chain) ● Work with tools like Whisper, Hugging Face, and Pinecone/Chroma DB/Weaviate ● Write clean, modular code and lead by example in engineering excellence ● Collaborate closely with product, design, and ML teams to rapidly prototype and ship features 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 Fast API / 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 Lang Chain, 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.) What We Look For - ● You thrive in ambiguity and move fast from prototype to production ● You think deeply about user experience in AI-driven applications ● You enjoy collaborating across teams and sharing your learnings ● You keep up with emerging research but know how to make it real

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