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About the role
- Design, develop, and ship AI-driven capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL
- Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques—ensuring reliability, scalability, and maintainability
- Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers
- Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques
- Champion best practices in AI system development—including evaluations, LLMOps, CI/CD, observability, and ethical AI principles
- Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift
- Write clean, well-tested, maintainable code, participating in code reviews and technical discussions across the stream
- Troubleshoot and resolve production issues, ensuring high availability and performance
Requirements
- 3+ years of professional experience with a proven track record delivering AI-first capabilities in customer-facing products
- Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders
- Strong Python skills and familiarity with FE technologies (e.g. Typescript, React etc)
- Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini)
- Ability to develop high-quality, production-ready code within complex codebases
- Experience with LLM evaluation frameworks and a track record of building evals that meaningfully inform model selection, prompt iteration, or feature quality.
- Solid understanding of ML fundamentals, including probabilistic modeling, evaluation techniques, and deep neural networks
- Experience with LLMOps and cloud services (AWS, Azure, Amazon Bedrock, etc.)
- AI-First Proficiency
Benefits
- Competitive equity package
- Lunch, snacks and drinks provided in the office
- Wellbeing benefit and WFH equipment allowance
- Annual learning and development allowance to grow your skills and career
- Opportunity to work for a globally diverse team
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonTypeScriptReactCanvasWebGLprompt engineeringcontext engineeringLLM evaluation frameworksML fundamentalsdeep neural networks
Soft Skills
excellent communication skillscollaborationproblem-solvingtechnical discussionscode reviews