ATI Business Group

• →You will design, build, and maintain Agentic AI systems that integrate LLMs with tools, APIs, databases, and enterprise workflows to enable intelligent automation and action-driven AI execution.
• →You will build and optimize AI agents capable of multi-step reasoning, tool usage, and workflow execution across business processes.
• →You will develop and maintain orchestration frameworks such as LangGraph, LangChain, PydanticAI, MCP, OpenClaw, OpenCode, or similar technologies for scalable agent operations.
• →You will build and optimize RAG pipelines, embeddings, prompt structures, and contextual retrieval logic to improve response quality and execution reliability.
• →You will work with LLM models, MoE models, embedding models, and visual models based on enterprise use case needs.
• →You will engineer backend services, APIs, and integrations using Python, Node.js, and JavaScript so AI agents can interact with internal systems, databases, and workflow tools.
• →You will automate Agentic AI workflows using platforms such as n8n or similar tools, with clear retry, fallback, and exception-handling logic.
• →You will deploy and operationalize AI agents using Docker/Podman, CI/CD pipelines, and production-ready serving environments.
• →You will monitor model and workflow performance using observability, logging, and auditability controls to ensure safe and reliable operations.
• →You will collaborate closely with Data, Platform, DevOps, and Business teams to translate requirements into production-ready Agentic AI solutions.
• →You will maintain high-quality technical documentation for architecture, prompts, tool integration, deployment, and operational procedures.

• Excellent communication, collaboration, and documentation skills, with fluency in English.
• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of hands-on experience in AI/ML engineering, AI application development, or workflow automation.
• Strong proficiency in Python, Node.js, and JavaScript, with proven ability to build backend services, APIs, and production-grade integrations.
• Hands-on experience with LLMs, RAG pipelines, prompt engineering, and agent orchestration frameworks.
• Experience building Agentic AI workflows that connect models with tools, APIs, databases, or business systems.
• Practical experience with LangGraph, LangChain, PydanticAI, MCP, vLLM, OpenClaw, OpenCode, or similar technologies.
• Familiarity with LLM models, MoE models, embedding models, and visual models for enterprise AI implementation.
• Experience using orchestration tools such as n8n or equivalent automation platforms.
• Ability to deploy AI systems in production using containerization and CI/CD pipelines.
• Understanding of inference monitoring, model lifecycle, evaluation, observability, and governance.
• Exposure to Big Data platforms such as Apache NiFi, Hortonworks/Cloudera, or Apache Ranger.
• Familiarity with data lakehouse or distributed data ecosystems supporting analytics and AI workloads.
• Experience with vector databases and enterprise retrieval systems.
• Familiarity with OpenWebUI, LibreChat, or other enterprise conversational AI interfaces.
• Experience with on-prem/private AI architecture, observability tools, and API gateways.

Our aim at ATI Business Group in working with our Clients is to support their continued growth by providing cost-effective technology and talented & scalable people resources on demand. ATI’s singular focus on providing services to the travel and hospitality business communities across the globe has been a remarkably successful one. Since commencing in 2002, we now have over 1,300 employees providing services to our clients worldwide.