Applied AI Engineer (Tech Lead)
Mistral AI29 days ago
Sydney, AustraliaStaff+
Responsibilities
- Deliver critical code for complex AI projects and remain hands-on with coding, code review, and optimization.
- Lead and mentor teams of Applied AI Engineers delivering GenAI applications across industries.
- Lead technical discussions during pre-sales and translate customer requirements into actionable solutions.
- Design and oversee AI systems involving fine-tuning, RAG, agentic workflows, and custom LLM applications.
- Evaluate emerging AI tools and methodologies and establish best practices for fine-tuning, inference, and deployment.
- Collaborate with product managers, researchers, and engineers to integrate customer feedback into product development.
Requirements
- PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- 7/8+ years of AI/ML experience, including at least 2+ years in a technical leadership role focused on AI products or enterprise solutions.
- Proven experience leading complex AI projects from prototyping through production.
- Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- Proficiency in Python, PyTorch, and modern AI frameworks such as LangChain and Hugging Face.
- Strong software engineering skills including API design, backend or full-stack development, and system architecture.
- Strong technical communication skills for technical and non-technical audiences, including executives and engineers.
- Experience with cloud platforms and MLOps tools is preferred.
- Open-source contributions, customer-facing enterprise AI experience, and experience influencing product direction are preferred.
Benefits
- Benefits may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal allowances, transportation allowances, and other location-specific perks.
- Benefits vary by country and location.
Categories
About Mistral AI
Mistral AI builds foundation language models and full‑stack AI solutions for enterprises, offering APIs, on‑prem deployment, developer tools, and applications. The privately held company, founded in 2023 and headquartered in Paris, partners with organizations in finance, manufacturing, defense, healthcare, and the public sector to co‑create customized systems. It releases open‑source models alongside commercial offerings and makes its models available through major cloud marketplaces.