Thoughtworks
SeniorAIEngineer
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“Senior AI Engineer at Thoughtworks. Skills: AI-Assisted Development, Agentic AI applications, Software Engineering, LLM Integration. Use AI coding assistants to enhance productivity. Design effective prompts and workflows”
What You'll Achieve.
accelerate software development; maintaining high standards of code quality, scalability, and security
Industry & Context.
debugging; refactoring; approach challenges from multiple perspectives
Onsite Work Expectation
What They're Looking For.
Must Have
programming experience in: Python, Experience with modern frameworks: Python: FastAPI, Flask, Django, Good understanding of: Data structures, algorithms, and system design, RESTful APIs and microservices architecture, Version control (Git), Cloud platforms (AWS or Azure), Hands-on experience with AI coding tools: GitHub Copilot, Cursor, Claude, or similar, Familiarity with LLM concepts - Prompt engineering, Context Engineering (e.g. OpenAI functions, MCP, Claude etc), Experience integrating LLM APIs into applications, Experience with: RAG pipelines, Vector databases, LangChain, LlamaIndex, or similar frameworks, Basic understanding of ML concepts
Nice to Have
Model Deployment (FastAPI, Hugging face etc) and MLOps knowledge
What You'll Do.
Use AI coding assistants to enhance productivity
Design effective prompts and workflows
and harden AI-generated code
Experiment with emerging AI tools
Design and development of Agentic AI applications
and maintain scalable backend systems
Participate in architecture design
Implement robust testing strategies
Integrate LLMs and AI services into applications
Build AI-powered features
Collaborate with DevOps teams for CI/CD integration
Ensure code quality through code reviews
Model Deployment and MLOps knowledge
How You'll Work.
Team & Collaboration
Collaborate with product managers, designers, and other engineers; Work in co-sourced client teams; Help teammates grow
Full Job Description
AI Engineer : Senior Consultant We are looking for an AI Engineer who can effectively leverage modern AI-powered development tools (e.g., GitHub Copilot, Cursor, Claude, etc.) and Agentic AI to accelerate software development while maintaining high standards of code quality, scalability, and security. This role sits at the intersection of software engineering and applied AI / Agentic AI — ideal for engineers who not only write code but also know how to collaborate with AI systems to design, build, test, and optimize applications / build Agentic AI applications. Key Responsibilities AI-Assisted Development Use AI coding assistants (e.g., GitHub Copilot, Cursor, Claude) to enhance productivity across the SDLC Design effective prompts and workflows for code generation, debugging, refactoring, and documentation Evaluate, validate, and harden AI-generated code for production readiness Continuously experiment with emerging AI tools and integrate them into development workflows Design and development of Agentic AI applications Software Engineering Design, develop, and maintain scalable backend systems and APIs Write clean, maintainable, and testable code in languages such as Python EDDDParticipate in architecture design and technical decision-making Implement robust testing strategies (unit, e. g. integration AI/ML Integration Integrate LLMs and AI services into applications (e.g., via APIs like OpenAI, Anthropic, etc.) Working with Agentic AI frameworks like LangGraph, LangChain, CrewAI etc Build AI-powered features such as chatbots, copilots, automation pipelines, and intelligent workflows Work with embeddings, vector databases, and retrieval-augmented generation (RAG) patterns Optimize prompts, latency, and cost for AI-driven features DevOps Delivery Collaborate with DevOps teams for CI/CD pipeline integration Ensure code quality through code reviews and automated checks Adept working in agile ways of working Model Deployment (FastAPI, Hugging face etc) and MLOps knowle
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