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LeoTech · 7 hours ago

AI/NLP Engineer

Irvine, CA

Full-time

Hybrid

Senior Level

$130K/yr - $150K/yr

5+ years exp

LeoTech is passionate about building software that solves real-world problems in the Public Safety sector. As an AI/NLP Engineer on the Data Science team, you will leverage Large Language Models and advanced AI techniques to create transformative solutions for public safety and intelligence workflows, working closely with product, engineering, and data science teams.

HardwareInformation TechnologyIT ManagementSoftware

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

Qualification

LLMsRAG pipelinesSemantic searchAgentic AIPythonML frameworksCloud environmentsData pipelinesMLOps practicesProblem-solvingCollaborationCommunication

Required

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, semantic search and Agentic AI)

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 in large scale production setup

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