Smart IT Frame LLC
AI

Generative AI Engineer

Smart IT Frame LLC · Houston, TX

Actively hiring Posted 5 months ago

Job Summary:

We are seeking a skilled
Generative AI Developer / Engineer
with a strong software engineering background in
Java or .NET
, who has transitioned into building
Generative AI solutions
. The ideal candidate will have hands-on experience designing, developing, and deploying AI-driven applications using modern LLMs and AI frameworks.

Key Responsibilities:

  • Design, develop, and deploy Generative AI solutions using Large Language Models (LLMs)
  • Build AI-powered applications such as chatbots, copilots, summarization tools, and intelligent automation systems
  • Integrate Generative AI models with Java or .NET–based backend systems
  • Work with APIs and SDKs from LLM providers (OpenAI, Azure OpenAI, Anthropic, etc.)
  • Implement prompt engineering , fine-tuning, and RAG (Retrieval-Augmented Generation) pipelines
  • Collaborate with product, data, and cloud teams to deliver scalable AI solutions
  • Ensure performance, security, and scalability of AI-driven applications
  • Stay updated with emerging trends in Generative AI and apply best practices

Required Skills & Qualifications:

  • Strong experience as a Java Developer or .NET Developer (minimum 3–5 years)
  • 2–3 years of hands-on experience in Generative AI development
  • Proficiency with LLMs , prompt engineering, and AI workflows
  • Experience with Python for AI/ML development
  • Hands-on experience with frameworks like LangChain, LlamaIndex, Semantic Kernel , or similar
  • Knowledge of REST APIs , microservices, and cloud-based architectures
  • Familiarity with vector databases (Pinecone, FAISS, Chroma, Azure AI Search, etc.)
  • Experience working on Azure, AWS, or GCP environments
  • Strong problem-solving and communication skills

Good to Have:

  • Experience with MLOps / AIOps practices
  • Knowledge of AI model fine-tuning and evaluation techniques
  • Exposure to CI/CD pipelines and containerization (Docker, Kubernetes)
  • Understanding of data privacy, security, and AI governance

Tags & focus areas

Used for matching and alerts on DevFound
Contract Ai Ai Engineer 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.