Lead AI Engineer, LangChain, Vector Databases, Python, Dallas, TX (Hybrid)

This innovative company is on a mission to transform the energy sector through cutting-edge agentic AI solutions. They are working closely with leading players, including an energy company, to explore exciting and high-impact use cases. Imagine creating conversational agents for internal knowledge sharing, training assistants, and tools that analyze energy. Firm is in the early stages of this journey; your creativity and insights will directly shape what is built!

Why should you apply here?

Company has experience building and growing projects that evolve into viable companies.
Ground floor opportunity to work on an Agentic AI Platform for low-carbon energy solutions.
Strong leadership and experience in the energy industry.
Work directly with customers to turn use cases into working products.
Direct collaboration with founders.

What will you be doing?

Architect and help build a multi-agent system working with an initial customer to redefine requirements.
Develop and deploy agentic AI systems and agents.
Design AI Agents and build applications based on large language models (LLMs) and AI frameworks.
Integrate large language models via APIs.
Create autonomous AI agents that can take actions based on user instructions.
Lead RAG strategies to optimize AI output relevance, accuracy, and safety.
Work with the initial customer to refine requirements and transform use cases into working products.

What are the minimum qualifications?

Bachelor’s degree in Computer Science, Engineering, or a related field.
Technical Lead with experience in software development and architecture, preferably in AI.
5+ years of Python programming, including asynchronous programming and API design.
2+ years of hands-on experience with LLMs and AI agent systems (e.g., LangChain, LlamaIndex).
Must have experience in RAG strategies for AI optimization.
Previous experience with vector databases such as ChromaDB, Pinecone, FAISS, Weaviate, AWS Kendra, or Vertex AI Search.
Experience integrating LLMs via APIs (OpenAI, Anthropic, Claude, etc.).
Proficient in AWS services (Lambda, ECS, S3) and deploying ML workloads in containers.
Understanding of Git workflows, CI/CD pipelines, and observability.
Strong communication skills for conveying technical concepts to non-technical audiences.
Startup or small company experience in AI development.

What will make your résumé stand out?

Familiarity with knowledge graphs or semantic retrieval systems.
Background in applied machine learning, including fine-tuning, embedding optimization, and evaluation metrics.
Production experience with LangGraph, CrewAI, or the OpenAI Agents SDK.

Location: Dallas, TX (Hybrid).

Citizenship: U.S. Citizens and Permanent Residents.

Salary: 150K – 170K plus benefits.

Riccione Resources, Inc. AI Jobs

Latest Jobs

Artificial Intelligence Engineer