Senior AI/ML Engineer at Egen

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.

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:

Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud

Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using GCP Vector Search or Pinecone

Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance

Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks

Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques

Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved

Your Technical Toolkit:

Core Languages: Mastery of Python and shell scripting

AI/LLM Ecosystem: Extensive experience with Google Gemini, GPT-4, or LLaMA; deep knowledge of Prompt Engineering and Fine-tuning

Data & Search: Expertise in Vector Databases (Vertex AI Vector Search, pgvector, etc.) and implementing Semantic Search

Infrastructure: Hands-on experience with GCP (Vertex AI) and building scalable software architectures

Frameworks: Proficiency in LangChain, LlamaIndex, or similar orchestration layers

Mindset: A strong software engineering foundation—you write clean, maintainable code and understand the full SDLC

Basic Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field

5+ years of experience in AI/ML

Proven track record of deploying GenAI products to a production environment

Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus

Knowledge of Data Engineering and SQL