Senior Engineer
$120k - $150kTata Consultancy Services
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.
• 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 #LI-JH1
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