Principal AI Engineer

ROLE SUMMARY:

The Principal AI Engineer is a senior technical expert responsible for designing, developing, and delivering high-quality software solutions. This role emphasizes deep technical proficiency, innovation, and hands‑on development, including advanced work in AI technologies such as prompt engineering and large language models (LLMs). The ideal candidate will serve as a technical authority, proving concepts with the latest AI technology or practices in the form of a spike or proof of concept. This person will be responsible for pushing the boundaries of what is possible, turning vision or concept into a technical solution, driving best practices and ensuring scalability, performance, and security across systems.

WHAT YOU’LL BE DOING:

Software Development

• Design and implement complex, scalable, and secure applications.
• Write clean, efficient, and maintainable code in Java, Python, and other high‑level languages.

Technical Expertise

• Provide architectural guidance and ensure adherence to best practices.
• Optimize system performance and troubleshoot critical issues.

AI Development

• Develop and refine prompt engineering strategies for LLM-based applications.
• Integrate and optimize Large Language Models (LLMs) into products and workflows.
• Collaborate with AI teams to improve model performance and user experience.

Innovation & Research

• Stay current with emerging technologies, frameworks, and AI advancements.
• Prototype and evaluate new tools and methodologies for adoption.

Collaboration

• Work closely with product managers, QA, and other developers to deliver high-quality solutions.
• Participate in code reviews and contribute to technical documentation.

Process & Quality

• Advocate for automation, testing, and continuous integration practices.
• Ensure compliance with security and regulatory standards.

WHAT YOU’LL BRING:

• Proven experience in software development, with at least a year in AI Development.
• Extensive experience in software development and system architecture.
• Proven ability to deliver complex projects with high technical standards.
• Strong technical background in Java, Python, and/or other high-level programming languages.
• Expertise in designing scalable and secure systems.
• Hands‑on experience with AI tools and frameworks, including:
  • Prompt Engineering for LLMs (e.g., OpenAI GPT, Anthropic Claude).
  • Model fine‑tuning and deployment.
  • AI integration into enterprise applications.
  • Prompt management tools (Langfuse).
  • Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG).
• Experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with CI/CD pipelines and modern development tools.

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