What are the responsibilities and job description for the AI Engineer position at HMG America?
HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for AI Engineer in Plano, TX . Below is the detailed job description.
Title: AI Engineer
Location: Plano, TX Onsite
Duration:Contract
Job Description:
We are seeking an experienced AI Engineer to design, develop, and deploy production-grade AI and Generative AI solutions. The ideal candidate will have strong hands-on experience with Python, LLMs, RAG, AI/ML, and cloud-based AI applications.
Key Responsibilities- Design and develop AI/ML and Generative AI applications using Python.
- Build LLM-powered applications, RAG pipelines, AI agents, and intelligent automation solutions.
- Work with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI and integrate foundation models into enterprise applications.
- Develop prompt engineering, embeddings, vector search, and retrieval solutions.
- Build and integrate APIs and AI services into scalable applications.
- Implement model evaluation, monitoring, security, and responsible AI practices.
- Deploy AI solutions using Docker, Kubernetes, CI/CD, and cloud platforms.
- Collaborate with data engineers, software engineers, architects, and business stakeholders.
- Troubleshoot and optimize AI applications for performance, scalability, and reliability.
- 5 years of experience in AI/ML Engineering, Software Engineering, or related field.
- Strong Python programming skills.
- Hands-on experience with Generative AI, LLMs, RAG, embeddings, and vector databases.
- Experience with LangChain, LlamaIndex, or similar AI frameworks.
- Experience with OpenAI/Azure OpenAI, AWS Bedrock, or Vertex AI.
- Strong understanding of Machine Learning and NLP concepts.
- Experience building and deploying production AI applications.
- Knowledge of REST APIs, Git, Docker, and CI/CD.
- Experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.
- Experience with Agentic AI / AI Agents.
- Experience with LangGraph or similar agent frameworks.
- MLOps/LLMOps experience.
- Experience with Databricks, Snowflake, or cloud data platforms.
- Kubernetes and Terraform experience.
- Experience implementing enterprise AI governance and security.