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Python GenAI Developer (Tampa)

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Summary

Lead-level Python engineer in Tampa, FL (or Irving, TX) who designs scalable, API-driven solutions and builds GenAI features: integrating LLMs (OpenAI GPT, Claude, Cohere, etc.) via APIs, prompt engineering and LangChain agents, vector databases like Pinecone/FAISS, plus basic data engineering.

Job Title: Python GenAI Developer

Location: Tampa, FL/Irving, TX

Job Type: FTE


Job Description :


We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging modern technology stacks and Generative AI capabilities. You will collaborate closely with cross-functional teams to deliver innovative solutions that meet client requirements, timelines, and budgets.


Key Responsibilities:


  • Design and implement scalable software solutions using modern technology stacks. In-depth knowledge and hands-on experience with Python frameworks like Django, Flask, FastAPI, or others depending on the specialization.
  • Develop and integrate APIs for Gen AI orchestration and data analytics workflows.
  • Integrate popular Large Language Models (LLMs) such as OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc., via API endpoints.
  • Apply prompt engineering techniques and implement LLM agents (e.g., LangChain).
  • Work with vector databases like Pinecone, Chroma, or FAISS for advanced AI solutions.
  • Conduct rapid experiments to evaluate new LLM versions and features.
  • Collaborate with Gen AI leads and other team members to deliver high-quality solutions.
  • Perform basic data engineering tasks to load structured and unstructured data from source systems to target data stores.
  • Debug and troubleshoot software or design issues effectively.


Required Qualifications:

  • Minimum 7+ years of experience in software engineering or data analytics roles.
  • Strong programming skills in Python (mandatory)or Java
  • Proven experience in building API-based scalable solutions.
  • Hands-on experience with LLM integration and prompt engineering.
  • Familiarity with modern AI frameworks and orchestration tools.


Preferred Skills:

  • Exposure to Gen AI platforms and advanced AI model experimentation.
  • Strong understanding of data engineering principles.
  • Excellent communication and project management skills.


Certifications:


1) Databricks Certified Generative AI Engineer Associate

2) Google Cloud Professional Machine Learning Engineer

3) NVIDIA Certified Professional – Agentic AI (NCP-AAI)

4) AWS Certified AI Practitioner

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