Artificial Intelligence (AI) Engineer

Responsibilities:

• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.

• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.

• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.

• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.

• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.

• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.

• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.

• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.

• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.

• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.

Requirements

• 7+ years of experience in software engineering, with a strong background in building production-grade applications.
• Strong hands-on expertise in Python or Node.js, including experience developing scalable backend services and APIs.
• Experience creating front-end applications with React and connecting them to backend or AI-enabled platforms.
• Solid understanding of RESTful API design, asynchronous programming, and modern distributed system architecture.
• Experience working with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or DynamoDB.
• Practical knowledge of large language models, generative AI concepts, agentic workflows, prompt design, and tool-integrated AI systems.
• Familiarity with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar technologies used for agent development.
• Strong analytical thinking, clear communication, and the ability to manage multiple priorities while producing maintainable, well-documented code.