WE ARESoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993. With 2,000+ active projects across the USA, Europe, APAC, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise. Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ experts, including data scientists, research analysts, MLOps engineers, ML and LLM architects, we cover the full AI lifecycle, from problem framing to deployment.In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact. We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations 8with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.We also lead Gen AI Lab, our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI. In 2025, a key area of innovation is Agentic AI, where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.IF YOU ARE Qualified with a Ph.D. or master’s degree in Computer Science or a related field Experienced (3+ years) in building and deploying real-world applications with C#, Java, or NodeJS Skilled in developing, packaging, and integrating ML services into real applications Proficient in the AI project lifecycle, from development to operationalization and cloud deployment with cloud-based AI/ML services (AWS, GCP, or Azure) Strong in working with GenAI tools, prompt design, and generative workflows Interested in autonomous AI systems, and familiar with decision-making algorithms, planning frameworks, or agentic tools like LangGraph, CrewAI, or similar Familiar with CI/CD/CT practices for machine learning systems Possessing strong interpersonal, analytical, and problem-solving skills Fluent in English at an upper-intermediate level or above Skilled in Python for automation and data processing and the core data science and machine learning ecosystem (preferable) Knowledgeable 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 Cloude, WindSurf, GitHub CoPilot (as a win) Skilled in developing, packaging, and integrating applications in end-to-end cycle of development (nice to have) Experienced with vector DBs (as an advantage) AND YOU WANT TO 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 TOGETHER WE WILL Be part of a team that's shaping the future of AI and data science through innovation and shared growth Advance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business value Have access to world-class training, cutting-edge research, and collaborate with top industry partners Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments Communicate with the world-leading companies from our logos portfolio Enjoy the opportunity to work with the latest modern tools and technologies on various projects Participate in international events and get certifications in cutting-edge technologies Have access to powerful educational and mentorship programs Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise