AI Engineer Architect

Job Title: AI Engineer/ Architect

The ideal candidate will have a deep understanding of Gen AI and Large Language Models and the ability to design develop and deploy Gen AI solutions that address business problems. They will have excellent programming skills and be proficient in at least one of the major programming languages used in AI such as Python

Responsibilities:

• Strong knowledge and previous experience on building ML/ NLP models textual data
• Strong knowledge on LangChain LlamaIndex Vector databases like Redis Chroma & Pinecone.
• Good knowledge on Gen AI monitoring tools like W&B / LangSmith.
• Develop scalable and efficient Gen AI solutions that can be deployed in production environments.
• Good knowledge on CICD deployment process ( OpenShift is preferred and desirable)
• Strong knowledge on evaluating Gen AI output
• Strong knowledge on fine tuning LLMs
• Evaluate and improve existing Gen AI solutions to ensure optimal performance and accuracy
• Develop and implement best practices for Gen AI applications and Gen AI patterns.
• Conduct experiments and analyses to evaluate the performance of Gen AI solutions.
• Develop and maintain documentation for Gen AIbased solutions
• Familiarity with cloud computing platforms such as AWS Bedrock Azure or Google Cloud Vertex AI.
• Mainly perform as Individual contributor however collaborate with data scientists and other AI professionals to augment digital transformation efforts by piloting and then deploying use cases to production.

Soft Skills:

• Open to work in a agile and flexible environment attitude to quickly switch on/off to different projects within the team
• Effectively communicate thoughts insights and plans to crossfunctional teams. Should have ability to explain complex technical concepts to nontechnical stakeholders like business unit executives.
• Excellent presentation skills to engage with business users to gain an indepth understanding of priorities and needs.
• Provide expert advice to determine options and solutions to project issues and challenges to ensure optimal service delivery and client satisfaction.