Lead R&D Engineer (Agentic AI)

About The Role

In this role, you will lead the research and development of advanced NLP, LLM, and Agentic AI solutions that move from experimentation to production impact. Working within SoftServe’s R&D-focused AI initiatives, you will shape technical direction, influence innovation strategy, and drive the adoption of scalable, responsible AI systems across diverse domains.

Responsibilities

Define and lead the development of advanced NLP, LLM, and Agentic AI solutions, ensuring high technical quality and real-world applicability
Own the end-to-end R&D and delivery lifecycle, from research concepts to production-ready architectures that deliver measurable business impact
Collaborate closely with product, engineering, and research teams to align AI innovation with organizational and client priorities
Design novel multi-agent architectures, tool-use integrations, and retrieval-augmented generation pipelines for complex AI systems
Architect scalable training, fine-tuning, and deployment workflows using cloud and distributed environments
Establish best practices for model evaluation, MLOps, monitoring, and responsible AI in production settings
Mentor and guide AI engineers and researchers, fostering technical excellence and knowledge sharing
Communicate progress, insights, and complex AI concepts clearly to executives and external stakeholders

Requirements

7+ years of hands-on experience in AI/ML, including 3+ years leading R&D and production-grade projects
PhD or Master’s degree in Machine Learning, Computer Science, or a related field, or equivalent senior industry experience
Deep expertise in NLP and LLMs, including training, fine-tuning, RAG, and large-scale evaluation
Practical experience with Agentic AI systems, multi-agent orchestration, tool integration, and autonomous workflows
Advanced Python skills, with working knowledge of C++ or Java for performance-critical components
Strong experience with PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases
Hands-on knowledge of cloud platforms (AWS, GCP, Azure), distributed training, quantization, and deployment optimization
Familiarity with MLOps practices, CI/CD for ML, Docker, Kubernetes, and model lifecycle management
Strong leadership, mentoring, and communication skills, with a commitment to ethical and responsible AI

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.

Lead R&D Engineer (Agentic AI)

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