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.
- 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
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 ExpectationYou 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 ThoughtworksThoughtworks 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.
See here our AI policy.
Skills Required
- Strong programming experience in Python
- Experience with FastAPI, Flask, Django
- Understanding of Data structures, algorithms, and system design
- RESTful APIs and microservices architecture knowledge
- Version control (Git) and Cloud platforms (AWS or Azure) experience
- Experience with AI coding tools like GitHub Copilot, Cursor, Claude
- Familiarity with LLM concepts
- Basic understanding of ML concepts
Thoughtworks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thoughtworks and has not been reviewed or approved by Thoughtworks.
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Leave & Time Off Breadth — Paid time off includes vacation accrual from day one with rollover, personal/sick days, development and service days, and a long‑tenure paid sabbatical. Policies also emphasize comprehensive leave for rest, illness, and rejuvenation.
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Healthcare Strength — Health coverage spans medical, dental, and vision and often extends to families, complemented by mental‑health support through Lyra and Headspace. In some regions, private providers and wellness rewards further bolster healthcare access.
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Parental & Family Support — Parental leave is positioned as generous across regions, with fully paid options in some markets and a comprehensive fertility policy. Adoption and broader family supports are also highlighted.
Thoughtworks Insights
What We Do
We are a global technology consultancy that delivers extraordinary impact by blending design, engineering and AI expertise. For 30 years, our commitment to design-led thinking, engineering excellence and innovation means we prioritize people, build teams with strong technical foundations and embed AI into every step of the process – not just as a tool but as a mindset. It’s this approach that sets us apart, sparks bold ideas and empowers us to drive real, lasting innovation. We’re not preparing for the future – we’re defining it.
Why Work With Us
As technologists, we have a unique role to play in how technology should benefit all of society, pursuing a more equitable future. Part of that role is to continuously educate ourselves on the issues that matter to the causes we believe in. We recognize our privilege and strive to see the world from the perspective of the most vulnerable.
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