Agentic AI Engineer

Company Overview:

Arctiq is a global intelligence-driven technology services company delivering professional and managed services across Hybrid Cloud Infrastructure Networking & Connected Experiences Cybersecurity Data & AI Autonomous Operations & Intelligence and Enterprise Service Management. We help organizations operate secure and modernize complex environments by unifying infrastructure networking data security automation and observability under a single integrated operating model. Our work focuses on helping customers reduce operational friction improve resilience and make better faster decisions as their environments evolve. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries.

This is a remote contract opportunity for one of Arctiqs clients. This team works EST hours.

Position Overview:

We are seeking a highly skilled Agentic AI Engineer to lead the design development deployment and support of next-generation intelligent automation solutions. This role is focused on building production-grade AI agents and agentic workflows that automate complex business processes integrate with enterprise systems and deliver measurable business outcomes.

Working closely with business stakeholders architects data teams and developers you will identify opportunities where AI agents can improve operational efficiency accelerate decision-making and transform business processes. You will be responsible for taking AI solutions from concept through production ensuring they are scalable secure observable and maintainable.

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.

Qualifications:

• 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.
  
• Bachelors degree in Computer Science Software Engineering MIS or related field.

Arctiq is an equal opportunity employer. If you need any accommodations or adjustments throughout the interview process and beyond please let us know. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.

We thank you foryour interest in joining the Arctiq team! While we welcome all applicants only those who are selected for an interview will be contacted.

Required Experience:

Senior IC