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Data & AI Engineer
Role - Data & AI Engineer
Experience Required - 10+ 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 GCP, 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)
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 au tonomous 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 : $90,000 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.
Location
New York, NY
Job Function
TECHNOLOGY
Role
Engineer
Job Id
407237
Desired Skills
Artificial Intelligence | Big Data | Node JS
Salary Range
$100,000-$120,000 a year
Desired Candidate Profile
Qualifications : BACHELOR OF COMPUTER SCIENCE
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