GenAI Engineer

We are seeking a Generative AI Engineer with 5-7 years of experience to join our dynamic team at GenAI CoC.

The ideal candidate will have a strong background in developing agentic architectures and experience with various frameworks and observability tools relevant to generative AI applications.

This role demands proficiency in Python, deployment experience, and familiarity with Retrieval-Augmented Generation (RAG) applications.

Responsibilities.

Design, develop, and implement agentic architecture for generative AI systems.

Utilize frameworks such as Langchain, Langraph, and observability tools like Langsmith and Langfuse to enhance application performance and monitoring.

Collaborate with cross-functional teams to build and deploy generative AI solutions that address business needs.

Develop, test, and maintain RAG applications, ensuring high performance and reliability.

Conduct evaluations of chat applications to assess effectiveness and user experience.

Stay updated with the latest advancements in generative AI technologies and methodologies.

Document processes, architectures, and code to ensure maintainability and knowledge sharing.

Required Skills.

Technical Skills: Proficient in Python programming language.

Hands-on experience with frameworks like Langchain and Langraph.

Familiarity with observability frameworks such as Langsmith and Langfuse.

Experience in deploying machine learning models in production environments.

Knowledge of various RAG applications and their implementation.

Experience: Minimum of 5 years of experience in software engineering or related fields.

Proven track record of developing generative AI applications.

Experience in evaluating chat applications for functionality and user engagement.

Soft Skills: Strong analytical and problem-solving skills.

Excellent communication skills for collaboration with team members and stakeholders.

Ability to work independently as well as part of a team in a fast-paced environment.