Senior Engineer

Tata Consultancy Services; Santa Clara (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Tata Consultancy Services seeks a Senior Software Engineer – Full stack to drive AI‑enabled features and robust backend services in a high‑scale environment. You will own design, implementation, and optimization of AI‑assisted development workflows across the full software stack.

Responsibilities include prototyping, cloud deployments on AWS/Azure, and collaboration with cross‑functional teams to ensure performance, security, and reliability.

Qualifications

• Bachelor's degree in CS, engineering, or related field.
• Strong full‑stack capabilities with AI and cloud experience.
• Hands‑on experience in prompt engineering and GenAI tooling.
• Experience designing AI‑powered features and scalable systems.

Responsibilities

• Lead AI‑assisted development across the full software lifecycle.
• Design, implement, and optimize AI powered features for core products.
• Collaborate with cross‑functional teams on system design and reliability.
• Prototype new ideas and evaluate model/prompts effectiveness.
• Build cloud infrastructure on AWS and Azure for AI applications.
• Stay current with Generative AI advancements and best practices.

Skills

Python

Java

Data structures

Algorithms

Software design patterns

Prompt engineering

GenAI tooling

AI-assisted development

Cloud computing

System design

Prototyping & research

Education

Bachelor's degree in Computer Science

Tools

GraphQL (Ariadne)

apolloClientGraphQL

FastAPI

AWS

Azure

GitHub Copilot

Code Whisperer

Job description

Job Description

Senior Software Engineer – Full stack

Must Have Technical/Functional Skills

• Expert-level knowledge in one or more programming languages: Python or Java
• Backend: Ariadne(GraphQL), appoloClientGraphQL, FastAPI
• Software Fundamentals: Strong foundation in computer science, with competencies in data structures, algorithms, and software design patterns.
• Prompt Engineering: Demonstrable, hands‑on experience crafting and optimizing prompts for LLMs to produce specific, high‑quality outputs.
• GenAI Tooling: Proven experience using AI code assistants and other generative tools to significantly improve development productivity and code quality.
• Cloud Experience: Solid experience deploying, managing, and monitoring applications on cloud platforms like AWS (e.g., Lambda, S3, EC2, SageMaker) or Azure (e.g., Azure Functions, Blob Storage, Azure OpenAI Service).
• AI-Assisted Development: Lead the integration and utilization of Generative AI tools (e.g., GitHub Copilot, Amazon Code Whisperer, internal models) to generate, debug, and optimize code across the full software development lifecycle.
• Prompt Engineering & Optimization: Design, develop, and refine sophisticated prompts and prompt chains to interact with LLMs (like GPT‑4, Claude, Llama) for a variety of tasks, including code generation, feature development, and automated testing.
• Feature Development: Architect, build, and deploy robust, scalable, and AI‑powered features for our core products.
• System Design: Collaborate with cross‑functional teams to design and implement systems that effectively integrate AI models, ensuring performance, security, and reliability.
• Cloud Infrastructure: Build and manage the infrastructure for our AI applications on cloud platforms, primarily AWS and Azure.
• Prototyping & Research: Stay current with the latest advancements in Generative AI. Rapidly prototype new ideas and conduct experiments to evaluate the effectiveness of different models and prompting techniques.

Roles & Responsibilities

• AI-Assisted Development: Lead the integration and utilization of Generative AI tools (e.g., GitHub Copilot, Amazon Code Whisperer, internal models) to generate, debug, and optimize code across the full software development lifecycle.
• Prompt Engineering & Optimization: Design, develop, and refine sophisticated prompts and prompt chains to interact with LLMs (like GPT‑4, Claude, Llama) for a variety of tasks, including code generation, feature development, and automated testing.
• Feature Development: Architect, build, and deploy robust, scalable, and AI‑powered features for our core products.
• System Design: Collaborate with cross‑functional teams to design and implement systems that effectively integrate AI models, ensuring performance, security, and reliability.
• Cloud Infrastructure: Build and manage the infrastructure for our AI applications on cloud platforms, primarily AWS and Azure.
• Prototyping & Research: Stay current with the latest advancements in Generative AI. Rapidly prototype new ideas and conduct experiments to evaluate the effectiveness of different models and prompting techniques.

Generic Managerial Skills, If any

• Strong communication & collaboration
• Problem solving skills
• Analytical thinking
• Adaptability

Education

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Salary Range: $120000 - $150000 a year

Qualifications

BACHELOR OF COMPUTER SCIENCE