Senior AI Engineer
On-site · AU or AU
Job Summary
Senior AI Engineer at Thoughtworks designing and delivering GenAI applications using GenAI techniques (RAG, Agents, Multi Agent Systems) from prototype to production. Collaborate with AI/ML engineers, software engineers, product managers, designers and data scientists to architect reliable, scalable GenAI solutions; own features, mentor junior engineers, review code, and optimize deployments across major cloud providers (AWS, Azure, GCP) for accuracy, performance, and cost. The role emphasizes mentorship, code quality, cross-functional teamwork, and responsible AI practices. Location: Melbourne, Australia with remote options (#LI-Remote).
Required Qualifications
- 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
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