[Hiring] AI Engineer @TekWissen

Role Description

Client is looking for an AI Engineer to design, build and run the agents that automate work across our digital commerce and transformation programs. The role is hands-on and product-minded:

• Take a business workflow, decide where an agent genuinely helps, and deliver a governed agent that people use every day.
• Work built primarily on Microsoft's AI platform, spanning Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio, and the Microsoft 365 and Teams surfaces.
• This is a production engineering role rather than a prototyping one.
• Agents built are expected to clear the Client Agentic Framework bar before they reach users:
• Registered in the Agent Registry
• Authenticated through Microsoft Entra
• Authorized under least-privilege RBAC
• Instrumented for observability
• Certified through evaluation testing
• Own the path end to end, from the first system prompt and tool schema through deployment, monitoring, and iteration.
• Work alongside program managers, data engineers, BI developers, solution architects, and security partners.
• Spend as much time defining what good looks like as writing code.
• Strong candidates are comfortable with ambiguity, opinionated about evaluation, and able to explain in plain language what an agent can do, what it cannot, and how they know.

Qualifications

• Bachelor's degree in computer science, software engineering, data science, or a related technical field, or equivalent hands-on experience.
• Four or more years of software engineering experience, including at least one year building LLM-based or agent-based applications that reached production users.
• Strong Python skills, with C# or TypeScript an advantage.
• Fluency with asynchronous APIs, REST and GraphQL, JSON schemas, and Git-based workflows.
• Hands-on experience with Microsoft AI services, including Azure AI Foundry or Azure OpenAI, Azure AI Search, and at least one of Copilot Studio, Semantic Kernel, or the Microsoft Agent Framework.
• Practical retrieval-augmented generation experience covering chunking strategy, embeddings, vector search, reranking, and retrieval evaluation.
• Working knowledge of Model Context Protocol or comparable tool-calling and function-calling patterns, including schema design and versioning.
• Demonstrated skill in prompt and context engineering, including system prompts, few-shot design, and model-specific behavior.
• Experience evaluating LLM systems with offline and online methods, regression suites, and human review loops.
• Clear point of view on what is worth measuring.
• Familiarity with Microsoft Entra ID, OAuth2, JWT, role-based access control, and API gateway patterns.
• Experience with CI/CD, containers, infrastructure as code, and observability tooling such as Azure Monitor, Application Insights, and OpenTelemetry.
• Clear written communication, including the ability to explain agent behavior, limits, and failure modes to partners who are not engineers.
• Sound judgment about where an agent is the right answer, and the willingness to say plainly when it is not.

Requirements

• Microsoft certification such as Azure AI Engineer Associate (AI-102) or an Azure architecture credential.
• Experience with Power Platform, including Power Automate and Dataverse, or with Microsoft Fabric and Power BI.
• Telecommunications, order management, billing, or business-to-business commerce domain experience.
• Contributions to agent platform tooling, registries, evaluation frameworks, or internal developer experience.

Benefits

• TekWissen® Group is an equal opportunity employer supporting workforce diversity.