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.
