Job Description
Strong experience with LLMs, AI agent development, prompt engineering, and AI‑assisted coding workflows.
Full‑stack engineering experience with JavaScript/TypeScript, Angular, Node.js, and modern API development.
Experience with relational and/or graph databases (Postgres, MySQL/SQL Server, Neo4j).
Ability to design and maintain data pipelines and ingestion frameworks.
Ability to evaluate architectural tradeoffs and think strategically about long‑term AI tooling direction.
Comfortable working in a fast‑moving environment where requirements evolve quickly.
Experience building internal developer tools or enterprise knowledge systems.
Experience with SDLC automation, architecture modeling, or systems‑flow analysis.
Familiarity with cloud‑based agent deployment patterns.
Ability to work independently and operate across multiple technical domains.
Day to Day:
An enterprise level architecture team is looking for AI Developers to assist in developing a new AI enabled internal tool. The goal of this platform is to have an LLM "Ask" feature, and additional tooling that can help with SDLC capability and requirement definition, HLSD building, and identify dataflows through internal systems. This role focuses on AI agent development, data ingestion pipelines, knowledge graph tooling, and full‑stack engineering to support rapid delivery of internal capabilities. You will work closely with Architects to design and build AI‑driven tools that improve architecture analysis, data‑flow discovery, troubleshooting, and SDLC acceleration. This role requires someone who can operate across multiple layers of the stack and guide best practices for AI‑assisted development.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Build AI‑powered internal tools, including AskEA feature and additional agents layered on top of curated enterprise data.
Design and implement data ingestion, normalization, and knowledge‑graph pipelines (Postgres, MySQL/SQL Server, Neo4j).
Develop full‑stack features for the EA Explorer using the Angular, TypeScript, and NodeJS
Supervise and guide AI‑generated code (Claude‑assisted development), ensuring correctness, maintainability, and architectural consistency.
Evaluate and recommend AI technologies, patterns, and tradeoffs to avoid long‑term technical dead‑ends.
Collaborate with architects to expand the internal tooling suite and integrate components built by other pillar teams.
Support occasional cloud‑based agent deployment and internal service integration.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.