AI Engineer

About the Role We’re building AI solutions that solve real enterprise problems — not demos, not proofs-of-concept that die in a slide deck, but production systems that ship and scale. We’re looking for an AI Engineer ready to take true ownership: from framing a business problem, through designing and building the solution, to seeing it adopted by real users. You’ll design, develop, and deploy AI-powered applications using Generative AI, LLMs, agentic frameworks, and modern data infrastructure. You’ll partner with cross-functional teams to turn complex business challenges into working software — and continuously push on performance, reliability, and user experience. What You’ll Do Build * Design, develop, and deploy AI-powered applications for real-world business problems using Python and modern AI frameworks * Build applications leveraging Generative AI, LLMs, NLP, and AI agents — including multi-step and tool-using agentic workflows * Design and implement RAG (Retrieval-Augmented Generation) pipelines, including chunking, embedding, and vector database strategies * Integrate pre-trained and foundation models (via APIs or self-hosted) into production applications Productionize * Develop and integrate REST APIs and microservices around AI capabilities * Evaluate, optimize, and monitor AI systems — accuracy, latency, cost, and safety — against business requirements * Apply prompt engineering, guardrails, and evaluation frameworks to make LLM behavior reliable and auditable * Follow strong engineering practices: system design, CI/CD, testing, and Git workflows Deliver * Drive end-to-end delivery of AI solutions — on time, within scope, and aligned to expected outcomes * Lead stakeholder engagement, change management, and user adoption to maximize business value * Continuously explore new models, frameworks, and patterns; bring back what’s worth adopting Basic Qualifications * Education: B.E. / B.Tech / M.Sc. / M.E. / M.Tech in Computer Science, Engineering, or a related field * Experience: 3+ years in AI/ML engineering, with at least 1 year building LLM/GenAI applications * Must-Have Skills * Strong programming skills in Python; working proficiency in TypeScript/JavaScript * Hands-on experience with LLM APIs and foundation models (OpenAI, Anthropic, Gemini, or open-weight models) * Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Hugging Face, or similar * Strong understanding of RAG, embeddings, vector databases, prompt engineering, and AI agents * Experience with SQL and NoSQL databases * Solid grasp of API design, microservices, CI/CD pipelines, and Git workflows * Familiarity with at least one cloud platform (AWS, Azure, or GCP) and containerization with Docker * Strong communication and stakeholder management skills — able to work effectively across business and technical teams Nice-to-Have Skills * Model fine-tuning and evaluation (LoRA/PEFT, evals frameworks) * Kubernetes and infrastructure-as-code * MLOps / LLMOps tooling (experiment tracking, model registries, observability) * Data engineering on modern platforms (Databricks, Snowflake, or equivalent) * C++ or other systems-level programming experience * Exposure to responsible AI practices: guardrails, red-teaming, PII handling