We are looking for a passionate and skilled AI engineer who is responsible for designing and delivering complex generative AI solutions. This role requires the ability to work autonomously on challenging technical problems, provide mentorship to junior engineers and champion engineering best practices.
- Design, build and deploy GenAI applications using techniques such RAG, Agents, Multi Agent Systems etc., taking ideas from prototype to production.
- Work with both AI/ML engineers and software engineers to deliver reliable, scalable systems.
- Own key features or components, ensuring they are well-structured, efficient and easy to maintain.
- Make technical decisions and contribute to system design with attention to performance, cost and reliability.
- Collaborate with product managers, designers and data scientists to turn business needs into practical solutions.
- Share knowledge and mentor junior team members, helping them grow their technical skills.
- Review code and provide clear, constructive feedback to peers.
- Understand deployment options and trade offs across different cloud providers such as AWS, Azure, Google Cloud, etc.
- Understand optimization techniques to improve accuracy, performance and cost for GenAI applications.
- Strong software engineering fundamentals, including Python, CI/CD, testing, version control and clean code practices.
- Solid grasp of software design principles and ability to design and implement AI-powered components or workflows.
- Experience with at least one GenAI framework (e.g., LangChain, LlamaIndex, Semantic Kernel) and one agentic framework (e.g., PydanticAI, LangGraph, AutoGen2).
- Hands-on experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., FAISS, Pinecone, Weaviate).
- Familiarity with deploying AI solutions on major cloud platforms (AWS, Azure or GCP), with basic use of containers (Docker) and CI/CD pipelines.
- Experience using LLMOps and observability tools (e.g., Langfuse, PromptLayer, OpenTelemetry) in production.
- Exposure to fine-tuning and use of ML/NLP frameworks such as PyTorch or Hugging Face Transformers.
- Ability to independently solve complex, ambiguous technical problems.
- Willingness and ability to guide and mentor junior engineers, sharing knowledge and best practices.
- Strong collaborative skills, working effectively with diverse, cross-functional teams.
- Thrives in a dynamic and fast-paced environment, demonstrating resilience in the face of challenges.
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.
At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
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See here our AI policy.
Skills Required
- Strong software engineering fundamentals
- Experience with at least one GenAI framework
- Hands-on experience building RAG pipelines with vector databases
- Familiarity with deploying AI solutions on major cloud platforms
- Exposure to ML/NLP frameworks
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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