Note: The job is a remote job and is open to candidates in USA. Arctiq is a global technology services company specializing in intelligence-driven solutions across various domains. They are seeking an experienced Agentic AI Engineer to lead the development of intelligent automation solutions that enhance operational efficiency and decision-making through AI agents.

Responsibilities

• Design, develop, deploy, and maintain Agentic AI solutions that automate business processes and complex workflows
• Build autonomous and semi-autonomous AI agents capable of reasoning, planning, tool usage, retrieval, memory management, and multi-step task execution
• Develop and deploy multi-agent systems that collaborate to accomplish business objectives
• Integrate Large Language Models (LLMs) from providers such as OpenAI, Anthropic, Google, Azure OpenAI, and open-source alternatives
• Build Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources
• Design and implement agent orchestration frameworks using technologies such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or similar platforms
• Develop APIs, microservices, and backend services that support AI-driven applications and workflows
• Integrate AI agents with enterprise systems including CRM, ERP, ticketing platforms, collaboration tools, databases, and third-party SaaS applications
• Implement robust observability, monitoring, evaluation, logging, guardrails, and governance frameworks for AI solutions
• Collaborate with business stakeholders to identify automation opportunities and determine where AI agents can deliver measurable value
• Evaluate emerging AI technologies and recommend practical approaches for implementation
• Perform hands-on development using Agile and Scrum methodologies
• Continuously optimize deployed AI systems for performance, reliability, cost efficiency, and user adoption
• Troubleshoot production AI applications and rapidly resolve operational issues
• Serve as a technical advisor on AI automation strategy, architecture, and implementation best practices

Skills

• 5+ years of software engineering experience with modern application development
• 1+ years of hands-on experience building and deploying Generative AI or Agentic AI solutions in production environments
• Demonstrated experience designing, developing, and deploying AI agents that interact with APIs, databases, enterprise systems, and external tools
• Proven experience building autonomous workflows using agent orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or equivalent technologies
• Strong Python development experience and familiarity with AI application development ecosystems
• Experience integrating commercial and open-source LLMs into production applications
• Strong understanding of prompt engineering, agent design patterns, tool calling, memory management, context management, and AI workflow orchestration
• Experience implementing Retrieval-Augmented Generation (RAG) architectures and vector database solutions
• Experience working with cloud platforms such as Azure, AWS, or GCP
• Experience with Docker, containerized deployments, CI/CD pipelines, and modern DevOps practices
• Ability to interpret SDK documentation and rapidly implement integrations with new platforms and services
• Excellent problem-solving skills with the ability to decompose complex business challenges into scalable AI-driven solutions
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
• Experience deploying AI solutions on Azure OpenAI, AWS Bedrock, Vertex AI, or similar enterprise AI platforms
• Experience with MCP (Model Context Protocol) implementations and AI tool ecosystems
• Bachelor's degree in Computer Science, Software Engineering, MIS, or related field

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