Riccione Resources, Inc. · 2 months ago
Lead AI Engineer, LangChain, Vector Databases, Python, Dallas, TX (Hybrid)
Dallas, TX, US
Full-time
Hybrid
Senior Level, Lead/Staff
$150K/yr - $170K/yr
5+ years expRiccione Resources, Inc. is an innovative company on a mission to transform the energy sector through cutting-edge agentic AI solutions. The Lead AI Engineer will architect and build multi-agent systems, develop and deploy AI systems, and collaborate directly with customers to turn use cases into working products.
EmploymentOutsourcingRecruiting
No H1B
U.S. Citizen Only
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
Stock options
Benefits
Company
Riccione Resources, Inc.
Our pride and passion at Riccione Resources is excellence: making sure that we meet both the client's goals at the technical and personal level and the candidate's goals for career development.
2-10 employees
Funding
Current Stage
Early StageLeadership Team
Nick Riccione
CEO & Principal Technical Recruiter
Company data provided by crunchbase