Job description

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. Meet Egen Life at Egen Culture and Values at Egen Career Development at Egen Benefits at Egen About the opportunity: As a Lead 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 Google Cloud 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 Google Cloud (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 8+ 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 Personal Attributes: Ownership: You take pride in your code and see projects through from concept to deployment Curiosity: The AI landscape changes weekly; you are a lifelong learner who stays ahead of the curve Consultative Spirit: You enjoy interacting with clients and can translate technical complexity into business value Ethics: You prioritize responsible AI development and data privacy Compensation & Benefits: This role is eligible for our competitive salary and comprehensive benefits package to support your well-being: - Comprehensive Health Insurance - Paid Leave (Vacation/PTO) - Paid Holidays - Sick Leave - Parental Leave - Bereavement Leave - 401 (k) Employer Match - Employee Referral Bonuses Check out our complete list of benefits here - > egen.ai Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. EEO and Accommodations: Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

Requirements

Must-haves

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 Google Cloud 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
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 Google Cloud (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
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
8+ 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
Ownership: You take pride in your code and see projects through from concept to deployment
Curiosity: The AI landscape changes weekly; you are a lifelong learner who stays ahead of the curve
Consultative Spirit: You enjoy interacting with clients and can translate technical complexity into business value
Ethics: You prioritize responsible AI development and data privacy

Nice-to-haves

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Keywords to mirror

aipythonllmmlmachine learningsql

Platform: lever
Effort: quick

Benefits

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Parental Leave