Senior Software Engineer - AI

Must have

• 4+ years of experience in Python (3.10+) — clean, production-grade code with async patterns and FastAPI.
• GenAI fundamentals: solid understanding of tokens, embeddings, prompt engineering, and context engineering.
• Familiarity with Agent-to-Agent (A2A) and Model Context Protocol (MCP).
• Basic ML/NLP knowledge: classification, regression, NLP pipelines, BERT, LIWC, Bag of Words, and embedding-based similarity models.
• Hands-on experience deploying and hosting custom models on AWS SageMaker.
• Familiarity with the Hugging Face ecosystem and open-source model landscape.
• Experience with ML/AIOps - CI/CD pipelines for model lifecycle, model versioning, monitoring, and automated evaluation in production.
• Strong grasp of data structures, algorithms, and software engineering principles.
• Excellent problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment.
• Good written and verbal communication skills.

Nice to have

• Experience fine-tuning foundation models using PEFT/LoRA techniques.
• Knowledge of guardrails, safety evaluation, or responsible AI principles.
• Monitor models in production - track drift, performance degradation, hallucination rates, token usage, and latency.

What we offer:

• The opportunity to have a real impact on the company's growth and evolution.
• Work for a company with global offices and the opportunity to travel and meet your colleagues.
• Work on a wide variety of tasks that are often ground-up builds.
• Dynamic and fun working environment - we run numerous brown bag sessions, bug-finding days and after-work social events.
• We take care of you and offer multiple perks, including special days off for health & wellness.
• We support you with our sponsored learning & development program.

Studio Graphene is proud to be an equal opportunity workplace.

We cultivate a culture of inclusion for all employees, which respects their strengths, views and experiences.

We strongly value diversity within our team, recognising that it fosters better decision-making, innovation and ultimately contributes to our business success.