[Hiring] Sr AI Engineer @Beyondsoft Consulting

Role Description

We are seeking a highly hands-on AI Engineer who thrives in building real-world, production-ready solutions. This role is focused on designing, developing, and deploying end-to-end AI agent solutions using modern tooling—primarily within the Microsoft ecosystem.

You will work in a fast-paced, innovation-driven environment, taking ambiguous business problems and turning them into scalable, pragmatic AI-powered solutions. This is a core engineering role requiring strong ownership, execution speed, and deep hands-on expertise in AI/LLM systems.

What You Will Be Doing:

• Build and deploy AI agents and multi-agent systems on Azure using composable patterns
• Build and consume MCP servers to connect agents to internal data sources, tools, and enterprise workflows
• Design orchestration patterns, tool integrations, and RAG pipelines
• Develop prompt engineering and evaluation workflows (including automated eval loops)
• Build APIs for agent integration with enterprise platforms (M365 Copilot, Teams)
• Implement data pipelines for unstructured data (transcripts, support interactions)
• Set up CI/CD, responsible AI controls, and production monitoring
• Use agentic dev tools (GHC CLI, Claude Code, Cursor, Copilot agent mode) as your primary development workflow
• Flex into low-code agent configuration, infrastructure, and data engineering as needed

Qualifications

• 7+ years of software engineering experience, with at least 3+ years building GenAI/LLM-based solutions in production environments
• Strong hands-on experience in AI agent development, including building and deploying agents using platforms such as Azure AI Foundry, Microsoft Agent Framework, or similar
• Proven expertise in LLM/GenAI engineering, including prompt engineering, model selection, evaluation, and structured outputs
• Advanced proficiency in Python, with experience writing production-quality, scalable, and well-tested code
• Experience designing and building RESTful APIs for enterprise-grade applications
• Strong understanding of Azure cloud infrastructure, including deployment pipelines, identity, and search services
• Experience building RAG pipelines, orchestration patterns, and tool integrations
• Hands-on experience working with AI-native developer tools such as GitHub Copilot CLI, Claude Code, Cursor, or similar
• Ability to build and manage data pipelines for unstructured data (e.g., transcripts, support interactions)
• Experience implementing CI/CD pipelines, monitoring, and responsible AI practices
• Demonstrated experience in building real AI systems (not just API integrations)

Requirements

• Experience with MCP server development or similar agent-tool integration protocols
• Exposure to LLM/ML Ops, including evaluation frameworks and automated testing loops
• Familiarity with PySpark, NLP pipelines, or large-scale data processing
• Experience with Copilot Studio and Power Platform
• Knowledge of containerization technologies (Docker, Kubernetes)
• Front-end development experience for building AI-integrated user interfaces
• Experience integrating AI solutions with enterprise tools such as Microsoft Teams and M365 Copilot
• Strong understanding of agent evaluation frameworks and automated evaluation workflows
• Full-stack development experience is a plus

Benefits

• Equal employment opportunities to all employees and applicants for employment
• Prohibits discrimination and harassment of any type
• Policy applies to all terms and conditions of employment, including recruiting, hiring, and the full employee lifecycle