AI Engineer 3
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+28 more
Job description
seeking an AI Engineer 3 to design, develop, and operate the enterprise AI platform that powers intelligent applications across the organization. This role focuses on building scalable, secure backend AI services, reusable AI capabilities, and platform APIs that application development teams integrate into their solutions., Design, develop, and deploy reusable AI platform services and backend APIs.
Build scalable backend services that orchestrate enterprise AI capabilities.
Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved AI providers.
Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows.
Integrate AI platform services with enterprise data platforms and cloud infrastructure.
Implement observability, monitoring, logging, and troubleshooting for AI services.
Optimize platform performance, scalability, reliability, and cost.
Mentor junior engineers through code reviews and technical guidance.
Collaborate with architects and application teams on solution implementation.
Ensure solutions meet security, compliance, and governance standards. Technologies & Platforms
Languages: C#, Python, Node.js (JavaScript/TypeScript), RESTful APIs
AI: Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, MCP, agent workflows, RAG
Cloud: Azure Container Apps, Azure Functions, Docker
Data: SQL, PostgreSQL, Azure SQL
Tooling: LangFuse, Cursor IDE, Git
Requirements
The ideal candidate has experience building cloud-native backend services and production AI systems using technologies such as Model Context Protocol (MCP), agent-based workflows, Retrieval-Augmented Generation (RAG), and enterprise LLM platforms. This engineer independently delivers complex platform capabilities, mentors junior engineers, and collaborates with architects, product managers, and application development teams., Bachelor’s degree in Computer Science, Engineering, or equivalent experience
5+ years of professional software engineering experience
2+ years building production AI services, AI platforms, or reusable AI infrastructure
Experience building scalable backend APIs and distributed services
Experience with LLM integrations, MCP, AI workflows, and RAG
Experience with Docker and cloud-native container platforms
Experience building and deploying cloud-native applications
Strong SQL and relational database design skills
Experience mentoring engineers and delivering complex production software Preferred Qualifications
Experience with Azure AI Foundry, Anthropic Claude SDK, or Azure OpenAI
Experience building shared AI platforms, SDKs, or platform APIs
Experience with LangFuse, Prisma or Drizzle, Express or Fastify
Familiarity with React and Shadcn UI
Knowledge of DevOps, CI/CD, and Infrastructure as Code
About the company
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.dice.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?
From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path