Senior AI Engineer

Job Title: Senior AI Engineer Company: Confidential Hires Job Category: Machine Learning Roles & Responsibilities: Role Type: Individual Contributor (IC) Role Overview This is a senior individual contributor role requiring deep technical expertise, strong engineering fundamentals, and the ability to take AI solutions from experimentation to production at enterprise scale. Key Responsibilities * Design, develop, and deploy production\-grade AI and Machine Learning solutions. * Build advanced Generative AI applications using LLMs, RAG architectures and agentic AI frameworks. * Design and implement multi\-agent systems, tool\-calling workflows and Model Context Protocol (MCP) integrations. * Develop multimodal AI solutions involving text, images, documents and other data modalities. * Optimize model inference, latency, throughput, scalability and resource utilization. * Build scalable model\-serving infrastructure using tools such as vLLM, NVIDIA Triton or Hugging Face TGI. * Work with GPU\-accelerated environments and distributed AI workloads. * Implement evaluation, monitoring, experimentation and continuous improvement of AI models. * Collaborate with engineering, architecture and product teams to translate business requirements into scalable AI solutions. * Drive technical excellence in AI engineering, coding standards, architecture and production deployment. Note: This is a pure Individual Contributor position and does not involve people\-management responsibilities. Work Location: Gurugram, Haryana, India Availability: Full time

Experience: 1-2 years Note : Master’s degree (MS/M.Tech/ME or equivalent) from a reputed institute is mandatory. Required Technical Skills * Hands\-on experience with LLMs and Generative AI applications. * Strong expertise in RAG architecture, embeddings, vector databases and semantic search. * Experience building agentic AI applications and multi\-agent orchestration. * Knowledge of MCP (Model Context Protocol), tool calling and AI workflow orchestration. * Experience with multimodal AI systems is highly desirable. * Strong Python programming skills. * Experience with frameworks such as LangChain, LangGraph, LlamaIndex or AutoGen. * Experience with PyTorch and/or TensorFlow. * Understanding of APIs, asynchronous programming, concurrency and distributed systems. * Experience with model serving and inference optimization. * Familiarity with vLLM, NVIDIA Triton, Hugging Face TGI or equivalent technologies. * Hands\-on exposure to Kubernetes, Docker and cloud\-native deployment. * Experience working with GPU infrastructure, preferably NVIDIA A100/H100 environments. * Familiarity with MLflow, Weights \& Biases or equivalent MLOps platforms. Education \& Experience * 10–15 years of overall experience in software engineering, AI/ML engineering or related technology domains. * At least 5 years of hands\-on experience in Machine Learning or production AI engineering. * Strong recent experience in Generative AI, LLMs, RAG and agentic AI systems. * Demonstrated experience taking AI solutions from proof of concept to production deployment. * Master’s degree (MS/M.Tech/ME or equivalent) from a reputed institute is mandatory. * Candidates from premier engineering and research institutions will be prioritized. * PhD in AI, Machine Learning, Computer Science or a related discipline is an advantage. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Model Training Salary: Not disclosed