Senior AI Engineer

EPAM Systems; Abu Dhabi; On-site; AED 380,000 - 680,000; Full time

Benefits offered by this job

End of service gratuity

Private healthcare

Life insurance

Wellness program

Annual travel allowance for expatriate

Learning and development opportunities

Job summary

EPAM Systems in Abu Dhabi is seeking an experienced Senior AI Engineer to advance multi-agent solutions integrated with enterprise platforms and healthcare-focused AI initiatives. You will design, implement, and orchestrate scalable AI agents using Azure AI Foundry, OpenClaw, and LangChain-like frameworks, with a strong focus on RAG knowledge systems and robust orchestration patterns.

This onsite role offers exposure to Power Platform and Microsoft 365 connectors, within a forward‑looking

Qualifications

• 8+ years of software development experience, including 3+ years building AI or agent-based systems.
• Hands-on experience with Azure AI Foundry, Azure OpenAI, and Azure AI services.
• Proven experience building multi-agent systems using frameworks such as Microsoft Agent Framework, Databricks agentic capabilities, LangChain, LangGraph, or equivalents.
• Experience with OpenClaw, including skill development, multi-agent session routing, and channel integrations.
• Experience implementing RAG architectures, knowledge grounding, and retrieval optimization.
• Strong skills in LLM system design and instruction architecture, including system message design, few-shot structuring, chain-of-thought patterns, and behavioral guardrails.
• Proficiency with Power Platform and Microsoft 365 integrations.
• Solid grasp of APIs (REST/Graph), CLI tooling, MCP protocols, and data pipeline integration.
• Experience with Azure DevOps, CI/CD pipelines, and MLOps/LLMOps practices.
• Bachelor’s degree in Computer Science

Responsibilities

• Design and develop AI agents using Azure AI Foundry, OpenClaw, Microsoft Agent Framework, Databricks agentic components, and custom multi-agent frameworks.
• Build and orchestrate scalable multi-agent workflows and pipelines with robust error handling, observability, and fallback strategies.
• Extend and configure OpenClaw as a multi-channel AI assistant runtime, building custom skills, integrating with enterprise messaging surfaces, and managing gateway configuration and agent routing.
• Implement agent orchestration patterns including skills/tools, memory management, context persistence, and handoff protocols.
• Design and deploy RAG-based knowledge systems using Azure AI Search and open source vector stores.
• Integrate solutions with Power Platform, Microsoft 365, and external services via standard connectors and custom APIs.

Skills

LLM design

Instruction architecture

Few-shot prompting

Guardrails design

MLOps/LLMOps

Agent frameworks

LangChain concepts

System messages

Education

Bachelor’s degree in Computer Science

Tools

Azure AI Foundry

Azure OpenAI

Azure AI services

OpenClaw

Microsoft Agent Framework

Databricks agentic capabilities

LangChain

LangGraph

REST/Graph APIs

CLI tooling

MCP protocols

Azure DevOps

CI/CD

MLOps

Job description

This onsite role in Abu Dhabi is focused on advancing multi-agent systems that integrate seamlessly with enterprise platforms. If you thrive on mandates that drive growth and transformation, you will help shape the next generation of AI-driven healthcare solutions. The work matters because it enables better outcomes for patients and providers in a region committed to progress.ResponsibilitiesDesign and develop AI agents using Azure AI Foundry, OpenClaw, Microsoft Agent Framework, Databricks agentic components, and custom multi-agent frameworksBuild and orchestrate scalable multi-agent workflows and pipelines with robust error handling, observability, and fallback strategiesExtend and configure OpenClaw as a multi-channel AI assistant runtime, building custom skills, integrating with enterprise messaging surfaces, and managing gateway configuration and agent routingImplement agent orchestration patterns including skills/tools, memory management, context persistence, and handoff protocolsDesign and deploy RAG-based knowledge systems using Azure AI Search and open source vector storesIntegrate solutions with Power Platform, Microsoft 365, and external services via standard connectors and custom APIsRequirements8+ years of software development experience, including 3+ years building AI or agent-based systemsHands-on experience with Azure AI Foundry, Azure OpenAI, and Azure AI servicesProven experience building multi-agent systems using frameworks such as Microsoft Agent Framework, Databricks agentic capabilities, LangChain, LangGraph, or equivalentsExperience with OpenClaw, including skill development, multi-agent session routing, and channel integrationsExperience implementing RAG architectures, knowledge grounding, and retrieval optimizationStrong skills in LLM system design and instruction architecture, including system message design, few-shot structuring, chain-of-thought patterns, and behavioral guardrailsProficiency with Power Platform and Microsoft 365 integrationsSolid grasp of APIs (REST/Graph), CLI tooling, MCP protocols, and data pipeline integrationExperience with Azure DevOps, CI/CD pipelines, and MLOps/LLMOps practicesBachelor’s degree in Computer ScienceNice to haveExperience with healthcare data standards and interoperability protocolsFamiliarity with agentic AI applications in clinical or operational healthcare settingsKnowledge of Middle East healthcare regulatory requirementsBackground in deploying AI solutions at scale within enterprise environmentsWe offerEnd of service gratuityPrivate healthcare and life insuranceEmployee assistance programWellness programAnnual air travel allowance for expatriatesRegular performance feedback and salary reviewsGlobal travel medical and accident insuranceReferral bonusesLearning and development opportunities including in-house training and coaching, professional certifications, and courses