Generative AI Scientist

Remote

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:

In this role, you'll join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. This team works with companies of all sizes, from startups to Fortune 100, that are leaders in their fields, pushing the limits of possible. You will develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team, improve the product further, and implement the new functionalities with a passion for quality. You will implement best practices and state-of-the-art techniques for AI and LLMs and work on research, experimentation, and implementation of novel methods.

Qualifications:

Required hands-on experience designing and implementing applications using Large Language Models (LLM). More specifically:

Python programming.

Google Gemini, OpenAI GPT, LLaMA, or similar models.

LangChain, LlamaIndex, or similar frameworks.

Advanced prompt engineering.

Retrieval Augmented Generation (RAG).

Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar).

The ideal candidate will also have experience in one or more of the following:Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

LLM model fine-tuning.

Embedding model fine tuning.

Shell scripting.

Google Cloud Vertex AI (AutoML, AI APIs, etc.).

Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving).

MLOps (ideally on GCP).

Data Engineering (including SQL).

Personal Attributes:

Strong ethics.

Strong technical aptitude.

Engineering mindset/developer background.

Strong sense of ownership and teamwork.

Curious, always learning to get better.

Enjoys working with clients.

Excellent communication skills.

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.

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