Lead AI Engineer

Egen; United States; On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Comprehensive Health Insurance

Paid Leave

Paid Holidays

Sick Leave

Parental Leave

401 (k) Employer Match

Employee Referral Bonuses

Job summary

Egen is hiring a Lead AI Engineer in the United States to drive Generative AI initiatives as a software engineering-led practice. You will own the full lifecycle of AI features, including document intelligence and RAG pipelines, from prototype to robust production services.

You will collaborate with diverse clients to translate business needs into high-performance AI architectures, applying strong LLM and software engineering fundamentals to ensure robust, scalable, and ethical solutions.

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 production.

Responsibilities

• Architect and build end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud.
• Engineer for precision with advanced RAG pipelines and semantic search systems.
• Optimize models through LLM and embedding fine-tuning for domain-specific performance.
• Build and manage agentic workflows to automate complex multi-step reasoning tasks.
• Collaborate with customers to translate requirements and implement state-of-the-art AI techniques.
• Productionize with MLOps to ensure scalable, monitored deployments.

Skills

Python

LangChain

LlamaIndex

LLMs

MLOps

Software Engineering

Prompt Engineering

SQL

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Google Cloud Vertex AI

Vertex AI Vector Search

LlamaIndex

Pinecone

LangChain

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.

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 Egin

Benefits at Egin

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 - >https://egen.ai/people/#benefits

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate's experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.

Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.