Qualifications
- 2 to 10 years of professional experience in software development.
- High proficiency in Python and its relevant libraries
- Strong hands-on experience with any cloud ecosystem.
- Exposure to Large Language Models (LLMs)
- Experience with Retrieval-Augmented Generation (RAG) frameworks and implementations
- Familiarity with Lang-Chain or similar frameworks.
- Experience with RESTful APIs and microservices architecture.
- Strong problem-solving skills, analytical thinking, and attention to detail.
- Excellent communication and collaboration skills.
Roles & Responsibilities
- Design & develop and implement generative AI applications using Python and any cloud s AI/ML services.
- Collaborate with product managers, data scientists, and other engineers to understand requirements and translate them into technical specifications for GenAI solutions.
- Stay up to date with the latest advancements in generative AI, large language models (LLMs), and related technologies.
- Develop and integrate APIs and services for seamless interaction between GenAI models and existing systems.
- Participate in code reviews, contribute to architectural discussions, and promote best practices within the team.
- Document technical designs, processes, and model specifications.
Good to Have Skills & Experience:
- Familiarity with Lang Graph, LangSmith and/or relevant frameworks.
- Exposure to Agentic/Multi-Agent systems.
- Cognizance on Cloud Storage, Cloud Functions / Cloud Run, Cloud Logging / Monitoring.
