Senior Engineer

Tata Consultancy Services Ltd

  • Santa Clara, CA
  • 27 days ago
  • $120,000–$150,000 Per Year

Highlights

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. 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).

Numbers & Facts

LocationSanta Clara, CA
Salary$120,000–$150,000 Per Year

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
  • Frontend: Next.js, React, TypeScript, Javascript
  • 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).

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

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