Senior AI Engineer
Thoughtworks is hiring a Senior AI Engineer in Singapore, Singapore. Level rates it ; you can apply on Thoughtworks.
Level's read on this job
- Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
- The posting mentions LangChain, LlamaIndex and LangGraph among its tools and skills.
- Level classes it as a senior role.
- Thoughtworks has 44 other open roles on Level.
AI in this role
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.
Due to the nature of the projects and specific client security clearance, this role requires the successful candidate to be a Singapore Citizen or PR of Singapore.
Job responsibilities
- 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.
Job qualifications
Technical Skills
- 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.
Professional Skills
- 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.
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.
Responsible Use of AI in Recruitment
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.
About Thoughtworks
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.
#LI-Hybrid
How we rate this
Senior AI Engineer at Thoughtworks rates 94 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, Fine-tuning, NLP, AI Safety, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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