Senior AI Engineer

thoughtworks

Bangalore NM Years Exp Posted 55d ago

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 knowledge
Collaboration
Work closely with product managers, designers, and other engineers. Sometimes in
co-sourced client teams as well.
Mentor junior engineers on AI-assisted development practices
Contribute to internal best practices and knowledge sharing

Required Skills & Qualifications

Technical Skills

Strong 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) and Cloud platforms (AWS or Azure)
AI & Tooling
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
AI Application Development Experience with: RAG pipelines, Vector databases, LangChain, LlamaIndex, or
similar frameworks. Basic understanding of ML concepts.

You enjoy influencing others and always advocate for technical excellence while being open to change when needed
Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
- You’re resilient in ambiguous situations and can approach challenges from multiple perspectives