AIML Engineer W2

Title: AIML Engineer
Location: Irving, TX
Strong Python, LLM and Prompt engineering expertise with Java.
Senior AI/ML Engineer – AI/ML, GenAI & Agentic AI
Experience
• 5+ years of experience in AI/ML, Data Science, Machine Learning Engineering, or a related field.
Role Overview
• We are looking for a Senior AI/ML Engineer with strong hands-on experience across Machine Learning, Deep Learning, MLOps, Generative AI, and Agentic AI.
• The candidate will be responsible for designing, developing, deploying, and scaling AI solutions for enterprise use cases.
Key Responsibilities
• Design and develop end-to-end Machine Learning and Deep Learning solutions.
• Build and productionize ML models using appropriate algorithms and frameworks.
• Develop and manage MLOps pipelines covering model training, deployment, monitoring, and lifecycle management.
• Build Generative AI applications using LLMs, prompt engineering, embeddings, RAG, and vector databases.
• Design and implement Agentic AI solutions, including AI agents, tool calling, multi-agent workflows, and orchestration.
• Integrate AI solutions with enterprise APIs, databases, applications, and knowledge sources.
• Deploy scalable AI solutions on AWS, Azure, or GCP.
• Implement AI application monitoring, evaluation, observability, security, and responsible AI practices.
• Collaborate with product, engineering, data, and business teams to translate business problems into AI solutions.
• Mentor junior engineers and contribute to AI architecture and technology strategy.
Core Technical Skills
• Programming: Python, SQL
• Machine Learning: Scikit-learn, XGBoost/LightGBM
• Deep Learning: PyTorch / TensorFlow
• GenAI: LLMs, Prompt Engineering, Embeddings, RAG
• Agentic AI: LangGraph, LangChain or equivalent frameworks
• Vector Search: OpenSearch, FAISS, Pinecone or equivalent
• MLOps: MLflow, Docker, CI/CD, model deployment & monitoring
• Cloud: AWS / Azure / GCP
• APIs & Engineering: REST APIs, FastAPI, Git, containerization

Work arrangement
Yes