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/Java script/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/Java script/Typescript,Python, Go

* APIs and services: REST, gRPC

* Cloud and infrastructure: AWS and/or GCP, Kubernetes

* Distributed systems: event-driven architectures, including Kafka

* Orchestration Frameworks:
Lang Graph, Lang Chain, Air Flow, etc

* Integration of commercial and open-source LLMs into agentic workflows

* Agent and orchestration frameworks such as Lang Chain, Llama Index, 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 Tensor Flow

* Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (Type Script)

* 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 age ntic 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.