AI Engineer - Application Development

Responsibilities

• Design and develop AI-enabled features for web-based workflow applications using LLMs, GenAI, and agentic AI patterns
• Build RAG pipelines using application data, policy documents, and user manuals
• Implement agentic workflows using orchestration frameworks like LangGraph, Agno, Haystack, or CrewAI
• Implement prompt engineering strategies and integrate AI/LLM APIs (OpenAI, Bedrock)
• Architect full-stack AI features with reliable API integrations and error handling
• Establish LLM observability and responsible AI guardrails
• Maintain full-stack applications using React, TypeScript, NodeJS, Python, and Java
• Address security vulnerabilities and ensure compliance with cybersecurity standards
• Participate in code reviews, CI/CD pipelines, and collaborative development workflows
• Document technical implementations

Requirements

• Bachelor's degree in computer science, Data Science, Mathematics, or related STEM field
• 5+ years of experience with software implementation across all aspects of the SDLC
• 1+ years of hands-on experience developing generative AI / LLM-powered applications
• Expert-level proficiency in Python; strong JavaScript proficiency
• Experience with RESTful APIs and integrating AI/LLM APIs (OpenAI, Bedrock)
• Experience with prompt engineering techniques
• Experience with LLM orchestration frameworks such as LangGraph, Agno, CrewAI, or similar
• Experience with RAG architecture, agentic patterns, and vector databases
• Strong understanding of ML fundamentals
• Experience with data analysis and ML libraries (pandas, NumPy, scikit-learn)
• Experience with containerization (Docker) and at least one major cloud platform (AWS, Azure, or GCP)

Preferred Qualifications

• Proficiency with Git version control and CI/CD pipelines
• Strong written and verbal communication skills

Benefits

• Comprehensive healthcare, wellness, and financial benefits
• Retirement and family support
• Continuing education and time off benefits