AI Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
AI Engineer building C#/.NET and Azure AI agents for AnywhereNow’s enterprise dialogue-management products. Developing MCP integrations and production-ready Microsoft ecosystem solutions.
Responsibilities:
- Design, build, and deploy AI agents solving customer and business problems
- Create agents that deliver independent value and contribute insights to a broader intelligence ecosystem
- Translate product requirements and use cases into scalable, production-ready solutions
- Build and operate MCP servers providing secure access to tools, systems, and enterprise data
- Define and implement tool interfaces, authentication mechanisms, and resource access patterns
- Integrate agents with Dynamics 365, Microsoft Graph, Dataverse, ServiceNow, Contact Centre and Customer Experience platforms, and internal and third-party APIs
- Define memory, context, and decision-making patterns
- Implement retrieval, reasoning, and tool-use strategies
- Design safety guardrails for enterprise agent operation
- Develop adapters, event-processing capabilities, and integration layers
- Enable agents to share insights and consume intelligence from interconnected solutions
- Contribute technical expertise, customer insights, and market observations to the Agent Factory roadmap and backlog
- Work with Product, Engineering, QA, and AI leadership to meet security, performance, governance, and business-value standards
- Identify customer challenges, emerging AI opportunities, and market trends
- Support and maintain company information security standards
Requirements:
- Strong software engineering experience using C# and .NET
- Hands-on experience with Azure Functions, Azure App Service, Azure OpenAI Service, and Azure AI Foundry / AI Studio
- Experience integrating Dynamics 365, Dataverse, Microsoft Graph, and Power Platform
- Knowledge of Microsoft Entra ID, Managed Identities, and Azure Key Vault
- Practical experience building or consuming MCP servers
- Knowledge of Semantic Kernel, AutoGen, and Microsoft AI SDKs
- Experience with function and tool calling, RAG, vector databases, and context and memory management
- Ability to design clear, reliable, and secure agent interactions
- Strong API integration experience, including REST APIs, webhooks, and event-driven architectures
- Experience with cloud-native deployment, CI/CD pipelines, and infrastructure-as-code
- Understanding of performance, latency, reliability, and cost considerations for LLMs in production
- Commitment to software quality, testing, and continuous improvement
- Ability to work closely with QA teams on agent evaluation, testing, and quality assurance
- Pragmatic approach to taking ideas from concept to production
- Passion for applying AI to real-world business challenges
- Ability to work independently and collaborate with cross-functional teams
- Systems-thinking approach to platforms and architectures
- Security-conscious approach to reliable enterprise-grade solutions
- Nice to have: multi-agent architectures, agent-to-agent communication, enterprise or regulated-environment AI delivery, LLM observability/monitoring/tracing/evaluation, and Contact Centre/Customer Experience/workflow automation platforms
- All employees must adhere to information security policies, protect company and customer data, use systems securely, report incidents, complete mandatory security and data protection training, and handle confidential information securely
Benefits:
- Cutting-edge Microsoft AI technologies
- Opportunity to contribute directly to innovative agentic solutions
- Opportunity to help shape the future of enterprise AI
- Opportunity to build scalable AI capabilities delivering measurable customer value
Similar Jobs
AI Engineer
AI Engineer building C#/.NET and Azure-based enterprise AI agents for AnywhereNow’s dialogue-management platforms. Developing secure MCP integrations and production-ready intelligent systems.
Senior AI Engineer
Senior AI Engineer designing, deploying, and optimizing production AI systems for Rearc’s enterprise clients. Building agents, evaluation frameworks, and enterprise integrations.
Senior AI Engineer – Full Stack
Senior AI Engineer transforming business ideas into production AI applications for Nortal, a digital transformation consultancy. Building agentic workflows, enterprise data integrations, safety systems, and AI optimization layers.
Senior Agentic AI Engineer
Senior Agentic AI Engineer architecting autonomous AI systems and RAG platforms. CodeRoad partners with US companies to modernize and scale business technology.
Senior Agentic AI Engineer
Senior Agentic AI Engineer designing production-ready agentic AI systems for CodeRoad’s end-to-end software development services. Building AWS, RAG, MCP, and multi-agent solutions.
AI Engineer
Agentic AI Engineer building LangGraph-based multi-agent systems for CodeRoad, a technology execution partner delivering product, platform, modernization, and AI engineering. Optimizing LLM workflows, observability, evaluation, and security.
AI Engineer
Agentic AI Engineer building production-grade agents and RAG applications for CodeRoad. Deploying and monitoring LLM solutions for US client teams from Latin America.
Senior AI Engineer
Senior AI Engineer building secure, scalable GenAI systems for Factored, which helps U.S. companies build AI, ML, and data teams with LATAM talent. Owning architecture, deployment, and optimization.
AI Engineer
AI Engineer building ServiceTitan’s Agent OS platform for contractor business operations. Developing safe agent runtimes, tools, memory, approvals, evaluations, and observability.
AI Engineer
AI Engineer building Agent OS runtime, tools, memory, trust, and evaluation infrastructure. Powering safe AI agents for ServiceTitan’s contractor-management platform.
Senior Software Engineer, AI Platform
Senior Software Engineer building orchestration, evaluation, and guardrail infrastructure for Kinetic’s AI agents. Supporting technology-driven workers’ compensation solutions for employers and insurers.
Founding AI Lead, Human Behavior Simulation
Founding AI Lead building human behavior simulation models for Populix, Indonesia’s market and policy research consultancy. Leading Singapore client deployments, research, and eventual local team scaling.
Staff AI Developer
Staff AI Developer leading scalable AI/ML architecture and production delivery at Robots and Pencils. Building reliable, secure systems for enterprise workflows and mentoring engineering teams.
Strategic Project Lead – AI Post-Training
Strategic Project Lead improving frontier AI models through high-quality training data at Appen. Owning client projects, evaluation workflows, quality standards, and AI data delivery.
Senior Data & AI Engineering Consultant
Senior consultant designing and delivering Azure and Microsoft Fabric data platforms for Interlink Cloud Advisors’ clients. Building governed, analytics-ready datasets for BI, analytics, and AI.
Senior Full Stack Engineer – AI Agentic
Senior Full-Stack AI Engineer building LLM-powered recruiting platforms for Inallmedia.com. Developing AI agents, Python services, and Salesforce/ATS integrations for global staffing clients.
AI Engineer – Freelance
AI Engineer building generative AI, LLM, and RAG solutions for HRM clients. Designing scalable platforms and supporting software delivery from analysis through deployment.
Staff AI Engineer
Staff AI Engineer designing reliable, secure and cost-efficient production agents for Cobalt’s pentesting platform. Setting agent architecture, evaluation, observability and engineering standards across teams.
Staff Software Engineer – AI
Staff Software Engineer building and deploying scalable AI/ML features for 8am’s SaaS platform. Developing Python, LLM, data infrastructure, and cloud deployment solutions for professional services.
Senior C# Developer, AI Experience
Remote senior C#/.NET developer building APIs and analyzing an enterprise data platform. Later-phase work includes LLM integration, RAG, and GenAI solutions.