Senior Machine Learning Engineer

Bonfy.AI; Athens (GA); Hybrid; USD 90,000 - 130,000; Full time

Job summary

A leading company focused on AI security is seeking an AI Engineer to enhance LLM behavior and develop trust metrics. The role emphasizes hands-on development experience in NLP systems and requires collaboration across teams to implement safety measures in AI. With competitive compensation and a mission-driven team, this position offers a chance to lead in crucial AI advancements.

Benefits

Generous equity

Flexible hybrid schedule

Health, vision, and dental coverage

Qualifications

• Hands-on experience with NLP systems (LLMs, embeddings, transformers).
• Comfort with Python from prototype to production.
• Experience with evaluation frameworks and pipelines.

Responsibilities

• Design tools to evaluate and improve LLM behavior.
• Define trust metrics like traceability and interpretability.
• Collaborate with teams to embed ML insights into content safety.

Skills

NLP systems

Python

Debugging

Practical thinking

Job description

Bonfy.AI | Mountain View, CA | Hybrid

Security for the Age of AI

About Us

At Bonfy.AI, we’re building the trust layer for generative AI. Our Adaptive Content Security platform detects and mitigates subtle risks baked into large language model (LLM) outputs—before they make it to the user. From hallucinations to hidden data leaks, we help enterprises use GenAI without compromising truth, privacy, or reputation.

We’re model-agnostic, outcome-focused, and unapologetically rigorous. Our customers include Fortune 500 teams deploying LLMs in high-stakes domains—where trust isn't optional.

Why This Role Matters

We’re looking for an engineer who wants to go deeper than metrics—someone who can analyze model behavior, identify subtle failure modes, and build real-time systems that make AI safer to use. You won’t be tuning models for leaderboard glory; you’ll be making them safer, traceable, and accountable. This is a chance to shape the foundation of how the world trusts AI.

What You’ll Do

• Design and build tools that evaluate and improve LLM behavior across diverse use cases
• Define and evolve trust metrics that go beyond accuracy — including traceability, robustness under edge cases, and interpretability of model decisions.
• Work across teams—infra, product, security—to embed ML insights into a cohesive content safety experience.
• Help us define and refine trust metrics beyond accuracy: traceability, brittleness, interpretability.

What We’re Looking For

• Hands-on experience working with modern NLP systems in real-world contexts (LLMs, embeddings, transformers, etc.).
• Comfort moving from prototype to production in Python—outside the notebook.
• Experience building or working with evaluation frameworks and pipelines.
• Practical thinking, sharp debugging skills, and an appetite for ambiguity.

Bonus Points For:

• Experience using or building tools that evaluate the behavior of language models (LLMs).
• Background in environments where trust, safety, or compliance is critical—even if outside traditional “regulated” industries.
• Hands-on experience testing AI systems for edge cases, failure modes, or unexpected behavior.

Why Join Us

• You’ll have technical autonomy and direct exposure to customer use cases.
• We’re early-stage, well-funded, and mission-driven—your code will shape our trajectory.
• We believe in clarity, urgency, and respect. We value what you ship, not how loud you are.
• You’ll work with a sharp, kind, high-trust team that knows what’s at stake.

Compensation & Benefits

Competitive salary. Generous equity. Flexible hybrid schedule. Health, vision, and dental coverage. And most importantly: a chance to build something meaningful during the most critical phase of AI’s evolution.

Apply If...

• You believe safety isn’t just an add-on—it’s essential to how AI is built.

• You understand that trust in AI must be demonstrated through evidence, not assumed by design.

• You’re willing to question conventional approaches when they fall short.

• You want to contribute meaningfully to the evolution of responsible AI, not just follow established paths.

Bonfy.AI — Truth. Security. Intelligence.