Job Description
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 (OpenAI, LLaMA, Mistral, etc.), vector databases, and embedding models
? Build 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/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 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.)
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
Keywords
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