AI Engineer

MarkiTech is seeking an AI Engineer to build and deploy advanced AI solutions, including agent-based Generative AI applications using RAG and multi-agent workflows. The role involves working with AWS services like Bedrock, EKS, and CodePipeline, as well as open-source frameworks such as LangChain and LangGraph. You will collaborate with data scientists and DevOps to operationalize AI solutions and optimize performance.

• Develop and deploy agent-based Generative AI applications using RAG and multi-agent workflows.
• Implement scalable Gen AI solutions leveraging AWS Bedrock, Amazon EKS, and AWS CodePipeline.
• Utilize open-source frameworks such as LangChain and LangGraph to accelerate solution development.
• Operationalize APIs for Gen AI applications, deploying containerized solutions on Kubernetes (EKS).
• Evaluate and optimize application performance using observability tools and Gen AI evaluation frameworks.
• Build and deploy intelligent Agents capable of inter-agent communication to achieve complex objectives.

• Hands-on experience building and deploying machine learning and Generative AI solutions, with expertise in agent-based architecture.
• Deep knowledge of ML and AI concepts, particularly in Generative AI (e.g., LLMs, RAG, agent frameworks).
• Proven expertise with AWS AI/ML services, including AWS Bedrock, Containers, EKS, and CodePipeline for production-grade AI deployments.
• Strong proficiency in open-source Gen AI frameworks such as LangChain, LangGraph, or similar.
• Experience developing, evaluating, and optimizing RAG-based solutions.
• Advanced Python programming skills for ML development, automation, and API design.
• Experience deploying containerized applications as scalable web services within Kubernetes environments.
• Excellent communication skills, both written and verbal.
• Bachelor’s degree or higher in Computer Science, Software Engineering, Electrical/Computer Engineering, or a related field.

• Familiarity with MLOps best practices and large-scale enterprise AI deployments.
• Prior experience in professional services, consulting, or advisory roles.