Artificial Intelligence Engineer

Role - AI Engineer : Typescript and Python, Gen AI, Agentic AI Experience Required - 6+ Years Role Overview: 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. Must Have Technical/Functional Skills • 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 Roles & 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. Base Salary Range : $100,000 to $140,000 Per Annum Show more Show less