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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 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.
Professional Skills
- 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
Other things to know :
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Onsite Work Expectation
You may be expected to work out of our Thoughtworks office or at our client's office location for all five working days of the week, depending on business or clients’ needs.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
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