Gen Ai Engineer

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.