Senior Agentic AI Engineer (C# / .NET)
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SeniorFull-time
#368899·Dodano wczoraj·0
Źródło: nofluffjobs.comTech Stack / Keywords
C#.NETPythonGitHubAIAWSAzureGCPKubeflowDegreegood communications skills
Firma i stanowisko
SoftServe's AI and Data Science Center of Excellence is a team of 170+ experts including Data Scientists, ML Engineers, and Architects. The team focuses on designing and building next-generation agentic AI systems and supporting clients in leveraging autonomous AI at production scale.
Wymagania
- 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, including packaging and integrating ML services.
- Advanced experience with GenAI tools, LLMs (Claude, GPT, etc.), and code generation tools like GitHub Copilot or Windsurf.
- Working knowledge of agentic AI frameworks such as LangGraph or CrewAI, MCP for tool and context integration, and decision-making/planning frameworks.
- Proven experience with cloud-based AI/ML services on AWS, Azure, or GCP and understanding of 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 related field.
- Strong interpersonal, analytical, and problem-solving skills.
- Upper-intermediate or higher proficiency in English, both spoken and written.
Obowiązki
- Design and develop agentic pipelines for code generation using LLMs and agent frameworks.
- Build and maintain LLMOps pipelines with tools like MLflow, Langfuse, or LangSmith.
- Collaborate with clients and stakeholders to gather requirements and translate them into scalable ML solutions.
- Design and implement MCP integrations to connect LLMs with external tools, APIs, and data sources.
- Develop and deploy applications for NLP, RAG systems, and multimodal models.
- Act as human-in-the-loop to validate agentic outputs for quality, compliance, and context.
- Support productionization of large language models and AI systems including CI/CD/CT pipeline setup and cloud deployment on AWS, Azure, or GCP.
- Contribute to knowledge base by capturing reusable prompt patterns, templates, and playbooks.
Oferta
- Sport subscription
- Training budget
- Private healthcare
- International projects
- Flat structure
- Small teams
- Free coffee
- Canteen
- Bike parking
- Free snacks
- Free parking
- In-house trainings
- Modern office
- No dress code
Karta sportowa
Dofinansowanie szkoleń
Opieka zdrowotna
Szkolenia wewnętrzne
Inne informacje
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
SoftServe
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