Purple Drive
Python Developer (AI/LLM Specialist)
Location:
Tampa, FL - Onsite
Type:
Contract
Role Overview
We are seeking a highly skilled
Python Developer with expertise in AI, LLM integration, and agentic frameworks . The ideal candidate will design, build, and deploy advanced
multi-agent AI systems, reasoning pipelines, and task automation flows , while ensuring scalability and performance. This role also requires
leadership skills
to mentor junior developers, guide project scoping, and align with cross-functional stakeholders.
Key Responsibilities
Develop and maintain
Python applications
leveraging modern frameworks ( asyncio, FastAPI/Flask, multiprocessing ). Design and implement
AI-driven agentic systems
using
LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, AutoGen , and similar frameworks. Integrate and fine-tune
LLMs (OpenAI, Anthropic, Hugging Face, Mistral, and other open-source models) . Apply advanced
prompt engineering, RAG (retrieval-augmented generation), chain-of-thought orchestration, tool use, and function calling
to optimize AI system performance. Architect scalable
reasoning pipelines and task automation flows . Implement
containerization and deployment
with
Docker, Kubernetes , and cloud platforms ( AWS, GCP, Azure ), including GPU optimization. Drive
model evaluation strategies
and best practices for
Model Ops . Mentor team members, provide technical leadership, and ensure alignment across cross-functional teams. Required Skills & Experience
8+ years
of professional Python development experience. Proven expertise in
agentic frameworks
(LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, AutoGen, etc.). Strong background in
LLM integration : fine-tuning, RAG, prompt engineering, orchestration, and tool/function usage. Hands-on experience with
Hugging Face Transformers, OpenAI APIs, Anthropic, Mistral, and open-source models . Proficiency in
FastAPI/Flask, asyncio, multiprocessing . Deployment experience with
Docker, Kubernetes, GPU optimization , and cloud platforms ( AWS/GCP/Azure ). Strong system design skills for
multi-agent systems and reasoning pipelines . Excellent
leadership, mentorship, and project scoping
abilities. Nice to Have
Research or implementation experience with
emerging LLM/AI agent frameworks . Prior experience in
large-scale AI/ML deployments
in production environments. Contributions to
open-source AI/ML projects .
Location:
Tampa, FL - Onsite
Type:
Contract
Role Overview
We are seeking a highly skilled
Python Developer with expertise in AI, LLM integration, and agentic frameworks . The ideal candidate will design, build, and deploy advanced
multi-agent AI systems, reasoning pipelines, and task automation flows , while ensuring scalability and performance. This role also requires
leadership skills
to mentor junior developers, guide project scoping, and align with cross-functional stakeholders.
Key Responsibilities
Develop and maintain
Python applications
leveraging modern frameworks ( asyncio, FastAPI/Flask, multiprocessing ). Design and implement
AI-driven agentic systems
using
LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, AutoGen , and similar frameworks. Integrate and fine-tune
LLMs (OpenAI, Anthropic, Hugging Face, Mistral, and other open-source models) . Apply advanced
prompt engineering, RAG (retrieval-augmented generation), chain-of-thought orchestration, tool use, and function calling
to optimize AI system performance. Architect scalable
reasoning pipelines and task automation flows . Implement
containerization and deployment
with
Docker, Kubernetes , and cloud platforms ( AWS, GCP, Azure ), including GPU optimization. Drive
model evaluation strategies
and best practices for
Model Ops . Mentor team members, provide technical leadership, and ensure alignment across cross-functional teams. Required Skills & Experience
8+ years
of professional Python development experience. Proven expertise in
agentic frameworks
(LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, AutoGen, etc.). Strong background in
LLM integration : fine-tuning, RAG, prompt engineering, orchestration, and tool/function usage. Hands-on experience with
Hugging Face Transformers, OpenAI APIs, Anthropic, Mistral, and open-source models . Proficiency in
FastAPI/Flask, asyncio, multiprocessing . Deployment experience with
Docker, Kubernetes, GPU optimization , and cloud platforms ( AWS/GCP/Azure ). Strong system design skills for
multi-agent systems and reasoning pipelines . Excellent
leadership, mentorship, and project scoping
abilities. Nice to Have
Research or implementation experience with
emerging LLM/AI agent frameworks . Prior experience in
large-scale AI/ML deployments
in production environments. Contributions to
open-source AI/ML projects .