AI Engineer

It is fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets;

an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.

Remote (supporting EST hours)

We are seeking a hands-on AI Engineer with deep, daily experience using and extending AI coding agents to support a large-scale AI-enabled software engineering transformation within a leading Financial Services organization. This role is about building and shipping: using Claude Code, Codex, Cursor, and similar tools to deliver production code, and engineering the configurations, integrations, and automation that make those agents effective on enterprise codebases.

The successful candidate will work in an ecosystem built on Claude (including Claude Code and Claude on AWS Bedrock), OpenAI Codex, Cursor, and AWS. Should be familiar with Coding agents
- Claude, Codex and tools like Cursors etc.

• Use coding agents (Claude Code, Codex, Cursor, Git Hub Copilot, and similar) daily to deliver production-quality code: features, refactors, migrations, tests, and documentation.
• Apply agents to legacy modernization, code migration, and platform migration work on large, multi-repo enterprise codebases.
• Serve as the reference implementer: prove out patterns on real projects, then codify them for other teams.
• Review, test, and harden agent-generated code to production standards.

• Build and maintain standardized agent configurations: project memory files (CLAUDE.md, AGENTS.md, Cursor rules), custom slash commands, skills, subagents, and hooks.
• Develop MCP servers and tool integrations connecting agents to internal systems (repos, ticketing, CI/CD, documentation, internal APIs).
• Engineer context packages, prompt templates, and codebase indexing approaches tailored to large and legacy environments.
• Tune agent behavior and diagnose failure modes such as context overflow, tool misuse, and looping.

• Build headless and background agent workflows using CLIs and SDKs (Claude Code headless mode, Claude Agent SDK, Codex CLI).
• Implement agent automation in CI/CD pipelines: automated PR review, test generation, dependency upgrades, vulnerability remediation, and migration jobs.
• Build internal tooling and wrappers that make agents easy and safe to run across repos and teams.
• Automate the measurement and evaluation of agent output quality, including tests and regression checks on agent-generated changes.

• Implement technical controls for safe agent usage: permission models, sandboxing, command allow lists, secrets handling, and data-exposure protections.
• Integrate agents with governed Claude access through AWS Bedrock, IAM, and the enterprise AI Gateway.
• Build audit logging and usage tracking for agent activity and AI-generated code.
• Partner with Info Sec, Risk, and Compliance to translate Financial Services regulatory and model risk requirements into enforceable technical controls.

• Build telemetry pipelines and dashboards for usage, token consumption, cost, and quality metrics (acceptance rates, cycle time, defect rates).
• Run hands-on bake-offs of emerging coding agents and models against real enterprise tasks; produce data-driven recommendations.
• Stay current on rapidly evolving agentic coding tools and bring working prototypes, not slideware.

• Document reference implementations, and pair with engineering teams to unblock adoption.
• Contribute reusable configs, templates, and examples to a shared internal repository.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline (or equivalent experience).
• 5+ years of professional…