Senior AI Engineer

• Design, build, and deploy scalable AI systems for enterprise and AI-driven products, including Machine Learning, Computer Vision, Generative AI, and AI Agent platforms
• Develop production-ready AI services, APIs, and AI serving pipelines, optimizing performance, latency, and cost efficiency
• Design and build AI agents from single-purpose to multi-step, tool-using systems with the right balance of autonomy, guardrails, and human-in-the-loop
• Integrate machine learning and generative AI models into applications via APIs and microservices
• Deploy and scale AI workloads on cloud platforms and on-premise GPU infrastructure
• Lead the AI projects and provide technical guidance to junior engineers and other team members to deliver high-quality solutions
• Stay up to date with emerging AI/ML frameworks, techniques, and tooling.

Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, or related fields At least 5 years of experience developing and deploying AI/machine learning systems in production environments Strong programming skills in Python and experience with frameworks such as PyTorch or TensorFlow Hands-on experience with AI pipelines, model serving, MLOps workflows, and cloud platforms Experience with Generative AI, NLP, Computer Vision, APIs, microservices, and containerization Experience with LLM orchestration frameworks such as LangChain or LangGraph, and agentic system design Experience building RAG pipelines and working with vector databases Familiarity with model serving tools such as vLLM or Ollama, and deploying on GPU infrastructure and Linux environments Experience with MongoDB, Redis, and FastAPI in production AI services Familiarity with gRPC and message queue systems e.g., Kafka, RabbitMQ, or Redis Streams for building scalable AI service communication Strong analytical and problem-solving skills Excellent communication and collaboration skills