AI Engineer
Core
Design, develop, and deploy AI-powered applications and agentic AI solutions to drive operational improvements and business outcomes.
Role type
AI Engineer (Agentic AI & LLMs)
Builds
Production-ready AI applications, AI agents, APIs, and supporting services
Domain
Enterprise AI, Generative AI, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, Agentic AI systems, Large Language Models (LLMs), Prompt engineering, Vector databases, Retrieval-augmented generation (RAG), AWS cloud environments, Data pipelines, Model deployment, Security & governance
Preferred skills
AWS Bedrock, LangChain, LangGraph, Strands, Model Context Protocol (MCP), C# development, MLOps practices
Technologies
Python, AWS Bedrock, LangChain, LangGraph, Strands, Vector databases, AWS AI services
Responsibilities
Design and deploy AI-powered applications and agentic AI solutions; Build, test, and optimize AI workflows utilizing foundation models; Develop and maintain AI agents, APIs, and supporting services; Implement RAG, vector database integrations, and agent-to-agent communication patterns; Deploy AI and machine learning models into production environments; Partner with stakeholders to evaluate business use cases; Develop and support data pipelines for model training and inference; Ensure AI solutions adhere to security standards and regulatory compliance; Document solution architecture and technical processes; Evaluate emerging AI technologies for innovation.
Seniority
Mid-level, hands-on IC