PythonGenAIDeveloper
Experience : 5+ yrs
Location : Trivandrum ( 4-5 Days office in a month )
Work Mode : Hybrid / Remote
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.
Experience:
- 6+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.
- 3+ years of hands-on experience building and deploying AI/ML solutions in Azure.
Education:
Bachelors 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 english 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.