Senior AI Engineer at Referrals Only

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, CI/CD, Testing, Version Control, Clean Code Practices, AI, ML, Software Design, GenAI Frameworks, Agentic Frameworks, RAG Pipelines, Vector Databases, Cloud Platforms, Containers, LLMOps, NLP Frameworks

Industry

Staffing and Recruiting

Description

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. Job responsibilities Design, build, and deploy AI-powered applications, 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. Promote good engineering practices, including testing, CI/CD, documentation, and clean coding. Implement guardrails for responsible AI development and deployment. Review code and provide clear, constructive feedback to peers. 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 solve complex, ambiguous technical problems independently. 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. 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-Remote See here our AI policy.

Responsibilities

The Senior AI Engineer will design, build, and deploy AI-powered applications, collaborating with cross-functional teams to deliver scalable systems. They will also mentor junior engineers and promote best engineering practices.