Generative AI Developer

We’re looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, you’ll have both the freedom and support to experiment and execute.Finout provides a uniquely rich dataset covering the full scope of a company’s cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.Why Join Us?A fast-moving environment where innovation is encouragedOwnership of high-impact, user-facing featuresThe chance to push the limits of what generative AI can do in a real FinOps productA collaborative team that values learning, bold thinking, and autonomyA fast-growing company that values its employees and promotes positivity and doing more.Requirements:3+ years of hands-on experience in software engineering, with at least 1–2 years working on generative AI projects (LLMs, diffusion models, multimodal models, etc.)Proven ability to go from idea to production—ideally with examples of real-world AI features you’ve shippedFluency in Python, Node.js, or similar languages used in ML and full-stack developmentExperience with prompt engineering, fine-tuning, or embedding models using frameworks like LangChain, LlamaIndex, or similarFamiliarity with AWS services and best practices, including Lambda, S3, SageMaker, ECS/EKS, Bedrock etc.Experience with MLOps and model deployment practices (e.g., containerization, GPU inference, vector databases)Creativity and initiative—able to pitch and prototype ideas with minimal oversightStrong communication skills and the ability to explain technical concepts to non-technical stakeholdersNice-to-Haves-Prior experience integrating generative AI in FinOps or cloud cost optimization toolsBackground in NLP, computer vision, or other relevant ML fieldsContributions to open-source AI tools or researchKnowledge of responsible AI principles and handling model risksExperience:2+ yearsResponsibilities:Design, build, and deploy generative AI-powered features across our product.Identify opportunities for AI integration by proactively exploring FinOps use cases and user needsPrototype and validate new AI use cases quickly and iterate based on internal and external feedbackCollaborate cross-functionally with product, design, and backend teams to drive innovation from concept to productionStay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).Live in the future and track new innovations and paradigms in this fast-evolving field, and identify opportunities to integrate them into the productImplement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputsOptimize model performance, inference time, and cost efficiency within AWS infrastructure