AI Engineer

AI Engineer job description: Build and maintain Generative AI applications using LLM APIs, develop backend services and APIs, implement use cases, integrate AI applications with enterprise systems, collect and structure datasets, and optimize AI systems for latency and response quality. Required qualifications include a Bachelor's degree in computer science or a related field, 5 years of experience in software engineering or applied AI, and hands-on experience with one more cloud technology and 2 more skills such as Python or Pyspark.

Requirements

• Build and maintain Generative AI applications using LLM APIs, prompt workflows, RAG pipelines, and agent-based orchestration.
• Develop backend services, APIs, and microservices in Python using frameworks such as FastAPI or Flask.
• Implement use cases such as enterprise assistants, document Q&A systems, internal copilots, workflow automation tools, and tool-using AI agents.
• Integrate AI applications with enterprise systems, databases, APIs, and external tools.
• Collect, clean, preprocess, and structure datasets used for AI workflows, retrieval pipelines, evaluation, and application inputs.
• Develop and maintain data and feature pipelines that support retrieval quality, model inputs, inference workflows, and application consistency
• Support preparation of knowledge sources for RAG systems, including chunking, indexing, metadata design, and retrieval optimization.
• Implement MCP-style tool usage patterns, connectors, APIs, and tool-enabled workflows where applicable.
• Participate in testing, evaluation, logging, monitoring, debugging, and ongoing improvement of AI applications.
• Help optimize AI systems for latency, response quality, hallucination reduction, robustness, and token efficiency.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship