IC3- Senior Software Engineer, AI and Full Stack

Kion•Columbia, MD

5d•Remote

About The Position

We’re seeking a Senior Software Engineer to join our growing team and help evolve our core product. You’ll work closely with designers, product managers, and fellow engineers to deliver features that empower our customers to manage cloud environments more efficiently and securely.

Requirements

5+ years of professional experience building scalable web applications.
Familiarity with MCP or similar protocols and patterns for connecting AI models to tools, data, and application services.
Understanding of common AI application risks, including hallucinations, prompt injection, data leakage, access control, and unpredictable model behavior.
Proficiency with a modern front-end framework (e.g. Angular, React, or Vue).
Experience with back-end development (e.g. Go, Java, Python, Ruby, Node.js, C#).
Production experience designing, building, and integrating with APIs.
Strong knowledge of relational databases (e.g., MySQL, PostgreSQL) and API design.
Familiarity with major cloud providers (AWS, Azure, or GCP).
Ability to plan and own features end-to-end and collaborate effectively in Agile teams.
Experience working with ambiguity in a fast-paced development environment.

Nice To Haves

Degree in Computer Science or related field—or equivalent practical experience.
Experience with Angular, and Golang.
Exposure to multi-cloud and virtualized environments or cloud tooling.
Demonstrated experience shipping AI or LLM-powered features into production, beyond proofs of concept.
Hands-on experience with LLM APIs and concepts such as prompt design, structured outputs, tool calling, context management, and model evaluation.
Experience developing FinTech solutions.

Responsibilities

Collaborate with designers and product managers to transform ideas into user-friendly solutions.
Develop AI-powered product capabilities.
Build and integrate Model Context Protocol (MCP) servers, clients, and tools that connect AI models with Kion data and capabilities.
Establish evaluation and observability practices for AI features, including accuracy, relevance, hallucination risk, token usage, latency, and customer impact.
Contribute to architectural decisions across the application.
Build and maintain scalable front-end components and API services.
Contribute to architectural decisions across the stack (Angular front-end, Go backend).
Improve code quality, usability, and extensibility through thoughtful engineering practices.
Participate in planning, estimation, and scoping for new features and enhancements.
Partner with cross-functional teams to ensure a smooth development lifecycle and high-quality deliverables.
Own the planning, development, testing, and delivery of a feature from end-to-end.