Sr. AI Engineer
Posted: 01/19/2026
Job Number: VUExMk5jaUJtbkt5dk9VWnFrRE0yUT09
Pay Rate: 60-65 Hourly USD
Job Description
Job Summary
We are seeking a Senior AI Engineer who is a seasoned practitioner with deep hands-on development experience in building, scaling, and deploying LLM-powered and agentic AI systems. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), OpenAI-based solutions, Vector Databases, Prompt Engineering, NLP, and agent orchestration frameworks, with the ability to design intelligent, production-grade AI platforms.
Key Responsibilities
Primary Skills (Must-Have)
Desired / Good-to-Have Skills
Qualifications
We are seeking a Senior AI Engineer who is a seasoned practitioner with deep hands-on development experience in building, scaling, and deploying LLM-powered and agentic AI systems. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), OpenAI-based solutions, Vector Databases, Prompt Engineering, NLP, and agent orchestration frameworks, with the ability to design intelligent, production-grade AI platforms.
Key Responsibilities
- Design, develop, and deploy LLM-driven applications using Python and modern AI/ML frameworks.
- Build and optimize agentic AI systems, including multi-agent orchestration frameworks, tool-calling, memory management, and workflow automation.
- Implement and fine-tune LLMs using OpenAI APIs and other open-source or commercial foundation models.
- Develop prompt engineering strategies for accuracy, reliability, and scalability across multiple use cases.
- Design and manage Vector Databases (e.g., Pinecone, Weaviate, FAISS, Milvus) for semantic search, RAG pipelines, and contextual retrieval.
- Build and deploy NLP pipelines for text classification, summarization, entity extraction, and conversational AI.
- Develop ML graph visualizations to represent model flows, agent interactions, knowledge graphs, and decision paths.
- Collaborate with product managers, data engineers, and business stakeholders to translate requirements into AI-driven solutions.
- Ensure model performance, scalability, security, and cost optimization in production environments.
- Mentor junior engineers and contribute to AI best practices, architecture standards, and reusable frameworks.
Primary Skills (Must-Have)
- Strong programming expertise in Python
- Hands-on experience with LLMs (OpenAI GPT models and/or open-source LLMs)
- Prompt Engineering and LLM optimization techniques
- Experience with Vector Databases and RAG architectures
- Strong background in Natural Language Processing (NLP)
- Experience building agentic orchestration frameworks (LangChain, AutoGen, CrewAI, custom frameworks, etc.)
- ML workflow and graph visualization (model pipelines, agent interactions, knowledge graphs)
Desired / Good-to-Have Skills
- Experience with Graph Databases and knowledge graph-based AI systems
- Exposure to MLOps / LLMOps (model versioning, monitoring, evaluation, CI/CD)
- Cloud experience (AWS, Azure, or GCP) for AI deployments
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Experience working in enterprise-scale or production AI environments
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
- Proven experience delivering production-grade AI/ML solutions
- Strong problem-solving skills with a product and business mindset
- Excellent communication and stakeholder collaboration abilities