AI Engineer

What if your work could influence the next generation of AI systems? The Role: Design, develop, and deploy scalable AI/ML and GenAI solutions to solve complex business problems. Work closely with data scientists, business stakeholders, and cloud teams to build production-grade AI systems Key Responsibilities: Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design. Design, build, and operate production-grade agentic AI systems used across multiple products. Own and evolve shared agentic AI capabilities, including: Design and Develop Agent frameworks and orchestration layers Planning, tool use, and memory strategies Design Retrieval and grounding (RAG) pipelines LLM infrastructure, inference, and model gateways Evaluation, observability, and safety tooling for autonomous systems Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost. Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production. Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements. Required Experience: 6+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems Experience working on Typescript and Python, Gen AI, Agentic AI Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face. Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technologies Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products. Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure. Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation. Fluency with AI-assisted and agentic development workflows. Ability to influence technical direction and align teams without formal authority. Problem-solving, cross-functional collaboration, and the ability to articulate complex AI concepts to non-technical business stakeholders What Makes This Opportunity Different? This is not a role focused solely on maintaining existing systems. You'll be working on problems that require experimentation, creativity, and a genuine passion for advancing AI capabilities. You'll have the opportunity to contribute to projects where the answers are not always known in advance and where innovation is encouraged. The successful candidate will join a highly collaborative environment that values intellectual curiosity, rigorous thinking, and technical excellence. 📩 If you're interested in contributing to the future of AI and would like to learn more, apply today or contact me directly for a confidential discussion. Dipika K Grace [email protected]