Tata Consultancy Services

Senior Backend AI Engineer

Tata Consultancy Services • $100K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or related field; Master's preferred.
  • 10+ years of experience in large-scale distributed systems.
  • Proficiency in NodeJS/Javascript/Typescript and/or Golang.
  • Strong experience with LLM systems and agentic workflows.
  • Experience in building complex, cross-cutting systems across teams.
  • Deep knowledge of AI-assisted development workflows and planning strategies.
  • Strong problem-solving skills and effective communication.

Responsibilities

  • Design and develop scalable backend services and APIs.
  • Collaborate with cross-functional teams to architect and implement solutions.
  • Optimize backend systems for performance and reliability under load.
  • Influence technical direction for agentic AI initiatives.
  • Build and operate production-grade agentic AI systems.
  • Lead technical design reviews and manage system tradeoffs.
  • Implement best practices for code quality and deployment automation.

Benefits

  • Discretionary annual incentive and performance bonuses.
  • Comprehensive medical, dental, and vision coverage.
  • Family support including parental leave.
  • Convenience perks such as commuter benefits and training reimbursement.
  • Generous time off policy including vacation and sick leave.
  • Legal and financial assistance including a 401K plan and student loan refinancing.
Full Job Description
Role - Senior Backend AI Engineer

Experience Required -7+ Years

Must Have Technical/Functional Skills

We are looking for a talented and experienced Senior Backend Engineer to join our growing team. The Senior Backend Engineer will be responsible for designing, developing, and maintaining scalable and efficient backend systems that power our applications. The ideal candidate will have a strong background in backend development, solid understanding of distributed systems, LLM systems, agentic workflows and experience with cloud technologies.

Core engineering stack
• Languages: NodeJS, TypeScript, Go
• APIs and services: REST, microservices
• Cloud and infrastructure: AWS and/or GCP, Kubernetes
• Distributed systems: event-driven architectures, including Kafka
• Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc
• Bachelors degree in computer science, Engineering, or related field. Master's degree preferred.
• 10+ years of experience building large-scale distributed systems with a strong proficiency in NodeJS/Javascript/Typescript, and/or Golang.
• Strong experience with LLM systems, agentic workflows or advanced ML infrastructure
• 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.
• Experience with cloud platforms and services and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in database technologies such as SQL (e.g. PostgreSQL) and NoSQL (e.g. MongoDB, Redis).
• Strong problem-solving skills, with the ability to analyze complex technical challenges and propose effective solutions.
• Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Preferred Qualifications
• 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
• Meaningful contributions to open-source AI or agentic frameworks.
• Familiarity with fine-tuning, model optimization and inference pipelines is a plus.

Roles & Responsibilities
• Design, develop, and maintain high-performance backend services and APIs.
• Collaborate with cross-functional teams to gather requirements, architect solutions, and implement features that meet business needs.
• Optimize backend systems for performance, scalability, and reliability, ensuring smooth operation under high load.
• 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:

o Agent frameworks and orchestration layers,

o Planning, tool use, and memory strategies

o Retrieval and grounding (RAG) pipelines

o LLM infrastructure, inference, and model gateways

o Evaluation, observability, and safety tooling for autonomous systems
• Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
• Implement best practices for code quality, testing, and deployment automation.
• Work closely with DevOps teams to deploy and manage backend services in cloud environments (e.g., AWS, Azure, Google Cloud).
• Collaborate with frontend engineers to define API contracts and ensure seamless integration between frontend and backend systems.
• Communicate effectively with team members, stakeholders, and management to provide project updates, status reports, and technical recommendations.

Base Salary Range : $100,000 to $130,000 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 &a mp; Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

About Tata Consultancy Services

Tata Consultancy Services (TCS) is an Indian multinational information technology (IT) services and consulting company, headquartered in Mumbai, Maharashtra, India. It is a subsidiary of Tata Group and operates in 149 locations across 46 countries. TCS is the largest Indian company by market capitalization and is ranked 11th on the Forbes Global 2000 list of the world's biggest public companies. TCS is also the second-largest IT services company in the world by revenue and the largest employer of women in India. The company provides services in areas including IT, consulting, and business solutions.
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