[Remote] AI/LLM Evaluation & Alignment Software Engineer

Note: The job is a remote job and is open to candidates in USA. LeoTech is passionate about building software that solves real-world problems in the Public Safety sector. The AI/LLM Evaluation & Alignment Software Engineer will ensure that Large Language Model (LLM) and Agentic AI solutions are accurate and aligned with public safety workflows by designing evaluation frameworks and implementing bias-mitigation strategies. Responsibilities • Build and maintain evaluation frameworks for LLMs and generative AI systems tailored to public safety and intelligence use cases • Design guardrails and alignment strategies to minimize bias, toxicity, hallucinations, and other ethical risks in production workflows • Partner with AI engineers and data scientists to define online and offline evaluation metrics (e.g., model drifts, data drifts, factual accuracy, consistency, safety, interpretability) • Implement continuous evaluation pipelines for AI models, integrated into CI/CD and production monitoring systems • Collaborate with stakeholders to stress test models against edge cases, adversarial prompts, and sensitive data scenarios • Research and integrate third-party evaluation frameworks and solutions; adapt them to our regulated, high-stakes environment • Work with product and customer-facing teams to ensure explainability, transparency, and auditability of AI outputs • Provide technical leadership in responsible AI practices, influencing standards across the organization • Contribute to DevOps/MLOps workflows for deployment, monitoring, and scaling of AI evaluation and guardrail systems (experience with Kubernetes is a plus) • Document best practices and findings, and share knowledge across teams to foster a culture of responsible AI innovation Skills • Bachelor's or Master's in Computer Science, Artificial Intelligence, Data Science, or related field • 3–5+ years of hands-on experience in ML/AI engineering, with at least 2 years working directly on LLM evaluation, QA, or safety • Strong familiarity with evaluation techniques for generative AI: human-in-the-loop evaluation, automated metrics, adversarial testing, red-teaming • Experience with bias detection, fairness approaches, and responsible AI design • Knowledge of LLM observability, monitoring, and guardrail frameworks e.g Langfuse, Langsmith • Proficiency with Python and modern AI/ML/LLM/Agentic AI libraries (LangGraph, Strands Agents, Pydantic AI, LangChain, HuggingFace, PyTorch, LlamaIndex) • Experience integrating evaluations into DevOps/MLOps pipelines, preferably with Kubernetes, Terraform, ArgoCD, or GitHub Actions • Understanding of cloud AI platforms (AWS, Azure) and deployment best practices • Strong problem-solving skills, with the ability to design practical evaluation systems for real-world, high-stakes scenarios • Excellent communication skills to translate technical risks and evaluation results into insights for both technical and non-technical stakeholders Benefits • 3 weeks of paid vacation – out the gate!! • Generous medical, dental, and vision plans. • Sick, and paid holidays are offered. Company Overview • LeoTech is leading the effort to assist public safety efforts around the nation. It was founded in 2018, and is headquartered in Los Angeles, California, USA, with a workforce of 51-200 employees. Its website is Apply tot his job