Evolver
Evolver15d ago

Senior GenAI Engineer (Python)

United StatesPalo Altosenior
EngineeringGenai Engineer
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Quick Summary

Key Responsibilities

GenAI Development: Build a platform to support enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks. Cloud Development: Design and implement robust,

Requirements Summary

Experience: 6+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.

Technical Tools
EngineeringGenai Engineer

Responsibilities

~1 min read
  • GenAI Development: Build a platform to support enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks.
  • Cloud Development: Design and implement robust, cloud-native solutions, preferably on Azure.
  • Full-Stack Contribution: Drive development from concept to deployment, ensuring seamless integration across back-end and front-end components.
  • Model Optimization: Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt engineering and agent plans.
  • Collaboration: Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
  • Mentorship: Guide and support junior developers to foster technical growth within the team.
  • Innovation: Stay ahead of emerging trends in AI and GenAI to continuously elevate our technical capabilities.

Requirements

~1 min read
  • 6+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.
  • 2+ years of hands-on experience building and deploying AI/ML solutions in Azure.

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.
  • Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
  • Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents.
  • Familiarity with GenAI frameworks like LangChain, Semantic Kernel, or equivalent tools.

  • Excellent communication and collaboration skills in team-driven environments.
  • Analytical mindset with a strong focus on problem-solving.
  • Comfortable working in a fast-paced, dynamic startup culture.
  • Eagerness to learn and contribute to cutting-edge technologies.

What We Offer

~1 min read
Competitive Compensation: Tailored to your experience and skill set.
Flexible Work Arrangements: Hybrid working model for work-life balance.
Career Growth: Opportunities for professional development and leadership roles.
Innovative Culture: Work on transformative technologies and make an impact in the AI space.

Listing Details

Posted
March 30, 2026
First seen
March 26, 2026
Last seen
April 15, 2026

Posting Health

Days active
19
Repost count
0
Trust Level
43%
Scored at
April 15, 2026

Signal breakdown

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Evolver
Evolver
greenhouse
Employees
5
Founded
2020
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EvolverSenior GenAI Engineer (Python)