AI Engineer

Summary

Join LeoTech's Data Science team as an AI/NLP Engineer to build cutting-edge AI solutions for public safety. Leverage LLMs, RAG, semantic search, and other advanced AI techniques to create transformative solutions. Collaborate with product, engineering, and data science teams to translate real-world problems into scalable solutions. This individual contributor role emphasizes technical depth, experimentation, and hands-on engineering. You will participate in all phases of the AI solution lifecycle, from architecture and design through deployment and continuous improvement. Contribute to internal knowledge-sharing and proof-of-concept projects.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• 5+ years of hands-on experience in applied AI, NLP, or ML engineering (with at least 2 years working directly with LLMs, RAG, or semantic search)
• Deep familiarity with LLMs (e.g. OpenAI, Claude, Gemini), prompt engineering, and responsible deployment in production settings
• Experience designing, building, and optimizing RAG pipelines, semantic search, vector databases (e.g. ElasticSearch, Pinecone), and Agentic or multi-agent AI workflows
• Strong proficiency with modern ML frameworks and libraries (e.g. LangChain, LlamaIndex, PyTorch, HuggingFace Transformers)
• Ability to design APIs and scalable backend services, with hands-on experience in Python
• Experience building, deploying, and monitoring AI/ML workloads in cloud environments (AWS, Azure) using services like AWS SageMaker, AWS Bedrock, AzureAI, etc
• Familiarity with MLOps practices, CI/CD for AI, model monitoring, data versioning, and continuous integration
• Demonstrated ability to work with large, complex datasets, perform data cleaning, feature engineering, and develop scalable data pipelines
• Excellent problem-solving, collaboration, and communication skills; able to work effectively across remote and distributed teams
• Proven record of shipping robust, high-impact AI solutions, ideally in fast-paced or regulated environments

Responsibilities

• Design, build, and optimize AI-powered solutions using LLMs, RAG pipelines, semantic search, GraphRAG, and Agentic AI architectures
• Implement and experiment with the latest advancements in large-scale language modeling, including prompt engineering, model fine-tuning, evaluation, and monitoring
• Collaborate with product, backend, and data engineering teams to define requirements, break down complex problems, and deliver high-impact features aligned with business objectives
• Inform robust data ingestion and retrieval pipelines that power real-time and batch AI applications using open-source and proprietary tools
• Integrate external data sources (e.g., knowledge graphs, internal databases, third-party APIs) to enhance the context-awareness and capabilities of LLM-based workflows
• Evaluate and implement best practices for prompt design, model alignment, safety, and guardrails for responsible AI deployment
• Stay on top of emerging AI research and contribute to internal knowledge-sharing, tech talks, and proof-of-concept projects
• Author clean, well-documented, and testable code; participate in peer code reviews and engineering design discussions
• Proactively identify bottlenecks and propose solutions to improve system scalability, efficiency, and reliability

Preferred Qualifications

Exposure to GraphRAG or graph-based knowledge retrieval techniques is a strong plus

Benefits

• Work from home opportunity
• 3 weeks of paid vacation – out the gate!!
• Competitive Salary
• Generous medical, dental, and vision plans
• Sick, and paid holidays are offered