GenAI Full-Stack Developer (Tampa)Flexon Technologies Talent360.ai • Tampa, FL, US
GenAI Full-Stack Developer (Tampa)
Flexon Technologies Talent360.ai • Tampa, FL, US
[job_card.variable_hours_ago]
[job_preview.job_type]
- [job_card.part_time]
[job_card.job_description]Design and maintain backend services using Python , FastAPI, Flask, or Django. Build scalable microservices integrating GenAI capabilities. Implement robust API layers to expose AI functionalities securely and reliably. Work with vector databases such as Pinecone, Chroma, Weaviate, Milvus , or similar. Design embedding pipelines, indexing strategies, and semantic search systems. Implement retrieval layers for LLMs to enhance context-aware responses. Develop interactive UIs for GenAI apps using React, Next.js , or equivalent front-end frameworks. Collaborate with UX designers to create intuitive user experiences for AI-powered interfaces. Design modular, scalable AI system architectures. Deploy applications on Cloud Platforms (AWS, GCP, Azure). Implement CI / CD pipelines for model deployment and application integration. Monitor system performance and optimize compute and storage costs. Work cross-functionally with data scientists, business analysts, product owners, and ML engineers. Lead technical discussions and guide junior developers on GenAI best practices. Translate business needs into scalable technical solutions. Bachelors or Masters degree in Computer Science, Engineering, or related field. 5+ years of software development experience , with strong expertise in Python. Hands-on experience with LangChain and LangGraph . Strong knowledge of LLMs, embeddings, vector search, RAG pipelines . Experience building Agentic AI systems (tool calling, planners, agents, memory frameworks). Strong backend and API development experience. Experience with React / Next.js or similar for frontend development. Familiarity with cloud services (AWS / GCP / Azure). Understanding of security, testing, and performance optimization. Experience with OpenAI GPT-4 / 5, Claude, Llama, or open-source LLMs . Knowledge of ML Ops, model evaluation, and prompt engineering. Exposure to containerization using Docker and Kubernetes. Experience integrating databases (SQL / NoSQL) with vector stores. Experience working in agile teams.
Job Summary :
We are seeking a highly skilled GenAI Full-Stack Developer with strong expertise in Python , LangChain , LangGraph , Vector Databases , and Agentic AI frameworks. The ideal candidate will design, develop, and deploy scalable AI-driven applications, intelligent agents, and automation workflows that leverage LLMs, retrieval-augmented generation (RAG), embeddings, and modern full-stack technologies.
This role requires hands-on engineering skills, architectural thinking, and the ability to lead end-to-end GenAI project delivery.
Key Responsibilities
GenAI / LLM Engineering
- Build and deploy Generative AI applications using LangChain, LangGraph, and Python-based agentic frameworks.
- Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings, vector stores, and LLM orchestration.
- Implement Agentic AI workflows including multi-agent systems, tool-calling, memory, and reasoning chains.
- Fine-tune, evaluate, and optimize LLM models for performance, accuracy, and cost.
- Integrate third-party LLMs (OpenAI, Anthropic, Azure, HuggingFace, etc.).
Backend Development (Python)
Vector Database & Knowledge Systems
Frontend Development
Architecture & DevOps
Collaboration & Leadership
Required Skills & Qualifications
Preferred Qualifications
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