Senior AI/ML Engineer
RemoteRemoteFull-time
AI Summary
Senior AI Engineer focuses on architecting and delivering end-to-end GenAI solutions, including RAG pipelines, semantic search, and MLOps, with a strong software engineering approach to scalable production systems.
About this role
About Egen:
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
Want to learn more about life at Egen? Check out these resources in addition to the job description.
About the opportunity:
As a Senior AI Engineer, you will be at the forefront of our Generative AI initiatives. We treat AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features—specifically document intelligence and RAG pipelines—taking them from initial prototype to robust, scalable production services. You will solve for real-world constraints like latency, error handling, and cost optimization.
You’ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.
What You Will Do:
Your Technical Toolkit:
Basic Qualifications:
Personal Attributes:
Skills
GCP ServicesGoogle Cloud Platform (Vertex AI, Vector Search)Knowledge Of Data EngineeringLangChainLlamaIndexLLMs (GPT-4, Google Gemini, LLaMA)MLOpsModel Fine-tuningOrbiting Tools: DVC (if Mentioned), Git (implied), Monitoring Tooling (if Mentioned)PineconePrompt EngineeringPythonRAG PipelinesSDLCSemantic SearchShell ScriptingSQLVector Databases (Vertex AI Vector Search, Pgvector)