Senior AI Agent Engineer (C# / Java / Node.js)

About the role

In this role, you will contribute to shaping advanced AI solutions that address complex business challenges at scale. Working within SoftServe’s AI & Data Science Center of Excellence, you will operate at the intersection of applied research and enterprise delivery, influencing technical direction and solution quality.

RESPONSIBILITIES

• Build LLMOps pipelines to enable model observability, reproducibility, and prompt versioning
• Develop and manage AI-driven workflows (agentic pipelines) for code generation, using agents to produce functional code artifacts aligned with business and technical requirements
• Work on cutting-edge ML applications involving NLP, RAG systems, and multi-modal models (text and image)
• Take part in productionizing large language models (LLMs) and other advanced AI models
• Collaborate closely with clients to understand use cases, gather requirements, and translate them into production-ready ML solutions
• Act as the human-in-the-loop to ensure outputs meet quality, compliance, and contextual standards
• Help scale the team's discovery process by capturing reusable prompt patterns, templates, and playbooks

Requirements

• Ph.D. or master’s degree in computer science or a related field
• Experience in building and deploying real-world applications with C#, Java, or Node.js (3+ years)
• Strong in developing, packaging, and integrating ML services into real applications
• Proficiency in the AI project lifecycle, from development to operationalization and cloud deployment with cloud-based AI/ML services
• Experience working with GenAI tools, prompt design, and generative workflows
• Interest in autonomous AI systems, and familiar with decision-making algorithms, planning frameworks, or agentic tools like LangGraph, CrewAI, or similar
• Familiarity with CI/CD/CT practices for machine learning systems
• Strong interpersonal, analytical, and problem-solving skills
• Fluency in English at an upper-intermediate level or above
• Solid experience in Python for automation and data processing and the core data science and machine learning ecosystem (preferable)
• Knowledge in workflow orchestration tools such as Kubeflow, Airflow, or similar (as a perk)
• Working with LLMs (Claude, GPT, and others) and code generation tools like Claude, WindSurf, GitHub CoPilot (as a win)
• Experience in developing, packaging, and integrating applications in end-to-end cycle of development (nice to have)
• Hands-on with vector databases (as an advantage)