Senior Engineer/Engineer – Enterprise Gen AI

Design and implement Retrieval-Augmented Generation (RAG) solutions to improve large language model (LLM) capabilities.

Develop and optimize LLM fine-tuning strategies for domain-specific uses, particularly in Wireless/5G.

Build and maintain autonomous multi-step AI agentic workflows and create evaluation frameworks for model performance.

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 3+ years experience, OR Master's with 2+ years, OR PhD with 1+ year relevant experience.

1-5 years experience in AI/Machine Learning engineering.

Proficiency in Python and frameworks such as PyTorch or TensorFlow; experience with vector databases like Milvus or Pinecone.

Experience with LangChain, LlamaIndex, Transformers; knowledge of prompt engineering and reinforcement learning is highly valued.

Experienced in building scalable AI infrastructure integrating on-premises and cloud-based systems for real-time and high-throughput applications.

Skilled in advanced AI model development including RAG, fine-tuning, and agentic AI system workflows.

Background in software engineering within AI/ML domains, with a focus on applying models to domain-specific problems like Wireless/5G.