AI Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+26 more
Job description
Innovation Code Review Scalability AI Adoption Communication Observability Influencing Skills Business Valuation Workflow Management Security Governance Software Engineering Technical Leadership Relational Databases Cloud-Native Computing Full Stack Development Artificial Intelligence Large Language Modeling Application Development Business Transformation Cloud-Native Development SQL (Programming Language) Influencing Without Authority Retrieval Augmented Generation Enterprise Application Software Microsoft Certified Professional Troubleshooting (Problem Solving) Artificial Intelligence Infrastructure Application Programming Interface (API), This engineer will play a key role in advancing a flagship internal AI platform that serves as the foundation for workflow orchestration, agent-to-agent communication, observability, and AI-driven business solutions. The platform is being built to support enterprise-wide adoption of AI by creating reusable services, scalable APIs, and seamless integrations with cloud and data platforms., * Developing reusable AI services and APIs that can be leveraged across multiple applications and business units.
- Creating scalable backend solutions that enable agent-based workflows and enterprise AI capabilities.
- Enhancing observability and monitoring so teams can better track AI requests, troubleshoot issues, and optimize performance.
- Supporting the evolution of a platform that allows systems across the organization to integrate with AI services through a common framework.
- Collaborating with architects, product leaders, and application development teams to implement innovative AI solutions., * Design, develop, and deploy reusable AI platform services and backend APIs.
- Build scalable cloud-native services that orchestrate enterprise AI capabilities.
- Develop integrations with leading AI platforms and large language model technologies.
- Design and optimize Retrieval-Augmented Generation (RAG) solutions and agent-based workflows.
- Integrate AI services with enterprise data platforms and cloud infrastructure.
- Implement monitoring, logging, observability, and performance optimization strategies.
- Ensure AI solutions meet security, governance, and compliance requirements.
- Mentor engineers through code reviews and technical leadership., Operations Innovation Code Review Scalability AI Adoption Communication Observability Influencing Skills Business Valuation Workflow Management Security Governance Software Engineering Technical Leadership Relational Databases Cloud-Native Computing Full Stack Development Artificial Intelligence Large Language Modeling Application Development Business Transformation Cloud-Native Development SQL (Programming Language) Influencing Without Authority Retrieval Augmented Generation Enterprise Application Software Microsoft Certified Professional Troubleshooting (Problem Solving) Artificial Intelligence Infrastructure Application Programming Interface (API) +0
Requirements
- 5+ years of professional software engineering experience.
- Experience building production-grade AI services, AI platforms, or reusable AI infrastructure.
- Strong background developing scalable backend APIs and distributed systems.
- Experience with LLM integrations, AI workflows, MCP, and RAG architectures.
- Hands-on experience with cloud-native development and containerized environments.
- Strong SQL and relational database experience.
- Experience delivering complex enterprise software solutions.
Desired Technical Skills
- Azure AI Foundry
- Azure OpenAI
- Anthropic Claude
- C#
- .NET
- Python
- TypeScript
- React
- Azure
- Docker
- Microservices Architecture
- Domain-Driven Design (DDD)
- Git
- LangFuse
- Cursor IDE
- Copilot
About the company
A leading construction and engineering organization is seeking a Senior AI Engineer to help design, build, and scale an enterprise AI platform that powers intelligent applications across the business. This role will focus on developing the AI orchestration layer that enables teams across the organization to leverage AI solutions securely, efficiently, and at scale., We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.careercircle.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Navigating the AI Shift
MLOps And AI Driven Development
What is Software Engineering in the Age of AI?
The State of WebDev AI 2025 Results: What Can We Learn?