Evolver15d ago
Senior GenAI Engineer (Python)
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
freshnesssource trustcontent trustemployer trustcandidate experience
External application · ~5 min on Evolver's site
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