Senior AI Engineer
Job Description: Senior AI Engineer Experience: 10+ Years Location: USA (Open to Relocate Anywhere in the USA) Job Type: Full-Time Work Authorization: As per employer requirements Job Summary We are looking for a highly experienced Senior AI Engineer with 10+ years of experience in software engineering, AI/ML development, and production-grade AI solutions. The ideal candidate should have strong expertise in Generative AI, Large Language Models (LLMs), Python, AI agents, and cloud-based AI platforms, with the ability to design, develop, and deploy scalable, enterprise-level AI applications.
Key Responsibilities
Design, develop, and deploy AI/ML solutions using Python, PyTorch, TensorFlow, and Scikit-learn . Build Generative AI applications using LLMs, RAG, prompt engineering, and vector databases . Develop AI agents and agentic workflows using frameworks such as LangChain, LangGraph, or LlamaIndex . Implement model fine-tuning, evaluation, optimization, and inference pipelines. Integrate AI models with enterprise applications, REST APIs, and microservices. Deploy and scale AI solutions using AWS, Azure, or Google Cloud . Implement MLOps practices, including CI/CD, model monitoring, versioning, and automated deployment. Collaborate with cross-functional teams to translate business requirements into production-ready AI solutions. Required Skills Experience: 10+ years in software engineering, AI/ML, or related technical roles. Programming: Strong Python skills; experience with SQL and API development. AI/ML: Machine Learning, Deep Learning, NLP, model training, and evaluation. Generative AI: LLMs, RAG, embeddings, vector databases, and prompt engineering. AI Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, or LangGraph. Cloud Platforms: AWS Bedrock, Azure AI Foundry, or Google Vertex AI. Deployment: Docker, Kubernetes, CI/CD, and MLOps tools. Strong problem-solving, system design, and communication skills.
Preferred Qualifications
Experience building and deploying enterprise-scale AI products in production. Knowledge of multi-agent systems, guardrails, AI security, and responsible AI practices. Experience with model serving, inference optimization, and distributed computing. Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. Interested candidates: Please share your updated resume along with your current location, work authorization, and availability.