Senior Generative AI Software Engineer

About this task

Responsibilities
- Research and implement LLM techniques including continued pre-training, supervised fine-tuning, reinforcement learning from human or AI feedback using approaches such as PPO, DPO or GRPO, and model deployment.
- Develop GenAI and LLM prototypes for translation use cases, and work with an expert advisor on technical roadmaps and product features.
- Track advances in GenAI and LLM research and contribute to the research community through publications or presentations.
- Collaborate with DevOps engineers, software engineers, designers and product managers to define solutions and deliver GenAI capabilities that meet user and business needs. Communicate technical strategies and manage stakeholder expectations.

Requirements
- Master's degree in Computer Science, Data Science, Statistics or Engineering; a PhD or equivalent experience is preferred.
- At least three years of industry experience developing GenAI and LLM applications, with project-based experience in context engineering, RAG and supervised fine-tuning.
- Project-based experience in at least one of continued pre-training, PPO/DPO/GRPO, or agentic systems such as harness engineering and MCP servers.
- Python proficiency, software development and version-control experience, and hands-on experience with Hugging Face APIs or Amazon Bedrock; experience with both is preferred.
- Strong skills in PyTorch, TensorFlow, Pandas and related tools, plus experience with AWS, GCP or Azure.
- Strong problem-solving, communication, organization and time-management skills, and the ability to work independently and collaboratively as priorities change.