Requisition ID: 105973-1
Title: AI Tech Lead
Location: Tampa, FL
Duration: 6+ Months
Salary Range: $45- $48 an hour on W2/C2C
We are seeking an experienced AI Tech Lead with strong expertise in Python, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and development of enterprise AI solutions. The ideal candidate will have strong technical leadership experience, a deep understanding of NLP and AI architectures, and hands-on experience building scalable AI applications and intelligent agent workflows.
Key Responsibilities
- Lead, mentor, and provide technical direction to a cross-functional AI development team.
- Define technical strategy, architecture, and implementation approaches for AI and GenAI projects.
- Design and develop scalable AI applications using Python, LangChain, LangGraph, RAG, and Agentic AI.
- Drive the complete lifecycle of AI solutions from requirements and architecture through development, testing, deployment, and production support.
- Design and implement RAG pipelines including document ingestion, chunking, embeddings, retrieval, ranking, and context generation.
- Develop agentic AI workflows and multi-agent systems using LangGraph and related frameworks.
- Collaborate with Product Managers, business stakeholders, and engineering teams to translate business requirements into technical solutions.
- Establish best practices for code quality, testing, version control, CI/CD, security, and deployment of AI applications.
- Evaluate emerging AI technologies, frameworks, models, and tools and identify opportunities for continuous innovation.
- Guide the team in developing robust NLP, knowledge graph, and intelligent decision-making solutions.
- Design integrations with enterprise data sources, APIs, vector databases, and NoSQL/Graph databases.
- Troubleshoot complex technical issues and provide architectural guidance throughout the project lifecycle.
- Support cloud deployment and productionization of AI solutions.
Required Skills
- 8 10 years of software/AI development experience with strong technical leadership.
- Expert-level Python development experience.
- Strong hands-on experience with LangChain and LangGraph.
- Proven experience designing and implementing RAG-based applications.
- Strong understanding and practical experience with Agentic AI / AI Agents.
- Strong knowledge of Natural Language Processing (NLP).
- Experience designing AI workflows, orchestration, and intelligent decision-making systems.
- Understanding of multi-agent architectures and systems.
- Strong understanding of AI application architecture and enterprise integration patterns.
- Experience with CI/CD and DevOps practices for AI/ML applications.
- Experience with NoSQL and GraphDB / knowledge graph technologies.
- Strong knowledge of software engineering best practices, code quality, testing, and deployment.
Good-to-Have Skills
- Experience deploying AI solutions on AWS, Azure, or GCP.
- Experience with vector databases and embedding technologies.
- Familiarity with automated decision-making systems.
- Experience working with Product Managers and business stakeholders.
- Knowledge of AI/ML testing frameworks and evaluation methodologies.
- Experience with emerging GenAI tools, frameworks, and foundation models.
- Experience with knowledge graphs and GraphDB implementations.
- Blockchain knowledge is a plus.
Preferred Certifications
- AWS/Azure/GCP AI or Cloud certifications.
- AI/ML or Generative AI certifications are a plus.