Senior Agentic AI Engineer (C# / .NET)

In this role you will design and build next-generation agentic AI systems — including LLM-powered code generation pipelines, multi-agent workflows, and RAG applications — within SoftServe's AI and Data Science Center of Excellence, a team of 170+ experts including Data Scientists, ML Engineers, and Architects. Your work will directly shape how clients leverage autonomous AI at production scale, from requirements gathering through to deployment.

Responsibilities

• Design and develop agentic pipelines for code generation, using LLMs and agent frameworks to produce functional, high-quality code artifacts aligned with business and technical requirements
• Build and maintain LLMOps pipelines using tools such as MLflow, Langfuse, or LangSmith to ensure model observability, reproducibility, and prompt versioning across production workflows
• Collaborate closely with clients and stakeholders to understand use cases, gather requirements, and translate them into scalable, production-ready agentic ML solutions
• Design and implement MCP (Model Context Protocol) integrations to connect LLMs with external tools, APIs, and data sources, extending the capabilities of agentic systems in a standardised, interoperable way
• Develop and deploy applications for NLP, RAG systems, and multimodal models (text and image), integrating them into end-to-end ML service architectures
• Act as human-in-the-loop to validate agentic outputs against quality, compliance, and contextual standards
• Support the productionization of large language models and advanced AI systems, including CI/CD/CT pipeline setup and cloud deployment on AWS, Azure, or GCP
• Contribute to the team's knowledge base by capturing reusable prompt patterns, templates, and playbooks that accelerate discovery and delivery

• Minimum 3 years of experience building and deploying production-grade applications using C# and the .NET ecosystem
• Strong Python proficiency for automation and data processing, with hands-on experience packaging and integrating ML services into real applications
• Advanced experience with GenAI tools, LLMs (Claude, GPT, and others), and code generation tools such as GitHub Copilot or Windsurf
• Working knowledge of agentic AI frameworks such as LangGraph or CrewAI, MCP for tool and context integration, and familiarity with decision-making and planning frameworks
• Proven experience with cloud-based AI/ML services on AWS, Azure, or GCP, and solid understanding of the full AI/ML project lifecycle
• Familiarity with CI/CD/CT practices for ML systems and workflow orchestration tools such as Kubeflow or Airflow
• Master's or Ph.D. degree in Computer Science or a related field
• Strong interpersonal, analytical, and problem-solving skills
• Upper-intermediate or higher proficiency in English, both spoken and written