AI Engineer

Job Description 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 with strong expertise in LLM systems, agentic workflows, advanced ML infrastructure, async processing, queues, and streaming systems. Experience working on Typescript and Python, Gen AI, and Agentic AI. Advanced proficiency in Python with hands‑on experience with PyTorch, TensorFlow, and Hugging Face. Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI) and 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 TCS Employee Benefits Summary Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #J-18808-Ljbffr Tata Consultancy Services