AI ENGINEER

Role - AI engineer Experience Required - 8+ Years Must Have Technical/Functional Skills • 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure • AI engineers with recent NodeJS/Javascript/Typescript experience • 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. • Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems. • Ability to influence technical direction and align teams without formal authority. • Experience in workflow engines, async processing, queues, and streaming systems. • Languages: NodeJS/Javascript/Typescript,Python, Go • APIs and services: REST, gRPC • Cloud and infrastructure: AWS and/or Google Cloud Platform, Kubernetes • Distributed systems: event-driven architectures, including Kafka • Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc • Integration of commercial and open-source LLMs into agentic workflows • Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives • Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow • Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript) • Experience building agentic systems in fintech or other regulated industries. • Experience as a founding engineer or early technical leader in AI-driven products. • Demonstrated success delivering technically complex autonomous systems that customers actively rely on. • Meaningful contributions to open-source AI or agentic frameworks. • Familiarity with fine-tuning, model optimization and inference pipelines is a plus. 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: • Agent frameworks and orchestration layers • Planning, tool use, and memory strategies • 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. • Mentor senior engineers and raise the technical bar for agentic AI development through example and influence. Base Salary Range : $100,000 to $120,000 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.