Senior GenAI Engineer (Python)

Evolver

$130K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in Python development and deploying machine learning applications.
  • 2+ years of building and deploying AI/ML solutions specifically in Azure.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Advanced skills in Python and relevant libraries (e.g., PyTorch, Pandas, NumPy).
  • Familiarity with large language models (LLMs) and Generative AI frameworks.

Responsibilities

  • Build a platform for enterprise GenAI solutions utilizing large language models.
  • Design and implement robust, cloud-native Azure solutions.
  • Drive full-stack development from concept through deployment.
  • Optimize language model performance and enhance data retrieval methods.
  • Collaborate with cross-functional teams to align solutions with business objectives.
  • Mentor junior developers to promote technical skill development.
  • Stay updated on emerging AI trends for continuous improvement.

Benefits

  • Flexible work arrangements allowing for a hybrid work model.
  • Career growth opportunities with pathways to leadership.
  • Culture focused on innovation and transformative technology.
  • Competitive compensation tailored to experience and skills.
Full Job Description
Role Overview:We are looking for an experienced Python developer with a passion for Generative AI and hands-on expertise in cloud development. As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered.

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, 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.


Qualifications:
Experience:

  • 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.


Education:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.


Technical Skills:
  • 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.


Soft Skills:
  • 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.


Benefits
  • 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.

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