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We help you hear the voices that matter.
AI/NLP Engineer
Location
Texas
Posted
62 days ago
Salary
$130K - $150K / year
Seniority
Senior
Job Description
AI/NLP Engineer
LEO Technologies, LLC
• 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.
Job 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, 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 in large scale production setup. Exposure to MCP and A2A protocol is a plus.
- Exposure to GraphRAG or graph-based knowledge retrieval techniques is a strong plus.
- 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. Experience with tools to load balance different LLMs providers is a plus.
- 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.
Benefits
- 3 weeks of paid vacation – out the gate!!
- Competitive Salary
- Generous medical, dental, and vision plans
- Sick, and paid holidays are offered
- Work with talented and collaborative co-workers
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