Flexible work model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.
ABOUT THE ROLE
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
REQUIREMENTS
- 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
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.
Role Summary
Location
Poland
Work type
Remote/Office
Direction
Engineering & Technology
Tech level
Senior
Apply Now
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About us
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Compensation & Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.