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.