TechDoQuest
AI

Python AI Engineer

TechDoQuest · Cleveland, OH

Actively hiring Posted 3 months ago

Job Summary

We are seeking a skilled Python AI Engineer with strong expertise in developing, fine-tuning, and deploying AI models leveraging
Azure OpenAI services
. The ideal candidate will design scalable and production-ready AI solutions that address diverse business requirements such as text generation, summarization, and sentiment analysis.

Key Responsibilities

  • Develop and maintain robust Python scripts to interact with Azure OpenAI APIs and related services.
  • Evaluate, select, and fine-tune Azure OpenAI models based on project-specific needs.
  • Design and implement AI solutions for multiple NLP tasks including text generation, summarization, and sentiment analysis.
  • Deploy, monitor, and optimize AI models in production environments.
  • Stay up to date with the latest advancements in AI, LLMs, and Azure AI ecosystem.
  • Utilize industry-standard libraries, frameworks, and tools to enhance development efficiency.
  • Ensure scalability and performance of AI applications to meet enterprise demands.
  • Collaborate and communicate complex AI concepts effectively with both technical and non-technical stakeholders.
  • Troubleshoot and resolve AI model development challenges , providing innovative and practical solutions.

**Required Skills and Experience

Mandatory Skills - LLM, RAG, Agentic AI, AI Chatbot, Python and Azure**

  • Strong proficiency in Python programming and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Transformers).
  • Hands-on experience with Azure OpenAI models and APIs.
  • Solid understanding of MLOps concepts, version control, and CI/CD pipelines.
  • Familiarity with data preprocessing, prompt engineering , and performance tuning.
  • Excellent problem-solving and analytical skills.

Tags & focus areas

Used for matching and alerts on DevFound
Contract Ai Ai Engineer Nlp Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.