What are the responsibilities and job description for the Senior GenAI Engineer (Python) position at evolver?
About Us:
We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services.
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.