GenAI Engineer

• 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.

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.