{"id":2194695,"url":"https://alion.io/job/fractal-ai-engineer-2","title":"AI Engineer","company":{"id":226,"name":"Fractal","domain":"fractal.ai","url":"https://alion.io/company/fractal-analytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":39,"ghost_share":0,"stale_share":0.949,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-09T18:57:13Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T02:47:51Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"It's fun to work in a company where people truly BELIEVE in what they are doing!\nWe're committed to bringing passion and customer focus to the business.\nFractal 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.\nLocation: Remote (supporting EST hours)\nAI Engineer, (Grade 8/7/6):\nRole Summary\nWe 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.\nShould be familiar with Coding agents- Claude, Codex and tools like Cursors etc.\nKey Responsibilities\nHands-On Delivery with Coding Agents\nUse coding agents (Claude Code, Codex, Cursor, GitHub Copilot, and similar) daily to deliver production-quality code: features, refactors, migrations, tests, and documentation.\nApply agents to legacy modernization, code migration, and platform migration work on large, multi-repo enterprise codebases.\nServe as the reference implementer: prove out patterns on real projects, then codify them for other teams.\nReview, test, and harden agent-generated code to production standards.\nAgent Configuration & Customization (Build)\nBuild and maintain standardized agent configurations: project memory files (CLAUDE.md, AGENTS.md, Cursor rules), custom slash commands, skills, subagents, and hooks.\nDevelop MCP servers and tool integrations connecting agents to internal systems (repos, ticketing, CI/CD, documentation, internal APIs).\nEngineer context packages, prompt templates, and codebase indexing approaches tailored to large and legacy environments.\nTune agent behavior and diagnose failure modes such as context overflow, tool misuse, and looping.\nAgent-Driven SDLC Automation\nBuild headless and background agent workflows using CLIs and SDKs (Claude Code headless mode, Claude Agent SDK, Codex CLI).\nImplement agent automation in CI/CD pipelines: automated PR review, test generation, dependency upgrades, vulnerability remediation, and migration jobs.\nBuild internal tooling and wrappers that make agents easy and safe to run across repos and teams.\nAutomate the measurement and evaluation of agent output quality, including tests and regression checks on agent-generated changes.\nSecurity, Governance & Guardrails (Implementation)\nImplement technical controls for safe agent usage: permission models, sandboxing, command allowlists, secrets handling, and data-exposure protections.\nIntegrate agents with governed Claude access through AWS Bedrock, IAM, and the enterprise AI Gateway.\nBuild audit logging and usage tracking for agent activity and AI-generated code.\nPartner with InfoSec, Risk, and Compliance to translate Financial Services regulatory and model risk requirements into enforceable technical controls.\nTelemetry, Evaluation & Tool Benchmarking\nBuild telemetry pipelines and dashboards for usage, token consumption, cost, and quality metrics (acceptance rates, cycle time, defect rates).\nRun hands-on bake-offs of emerging coding agents and models against real enterprise tasks; produce data-driven recommendations.\nStay current on rapidly evolving agentic coding tools and bring working prototypes, not slideware.\nKnowledge Sharing (Secondary)\nDocument reference implementations, and pair with engineering teams to unblock adoption.\nContribute reusable configs, templates, and examples to a shared internal repository.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Engineering, or a related discipline (or equivalent experience).\n5+ years of professional software engineering experience, with strong proficiency in Python and at least one additional language (e.g., TypeScript, Java).\nProven, daily hands-on use of Claude Code, Codex, and Cursor or similar agents to deliver production code, with examples of non-trivial work shipped.\nExperience building MCP servers, custom tools, skills, subagents, or hooks.\nStrong grasp of context and prompt design, task decomposition, and how to steer and verify agent output.\nExperience building CI/CD automation and scripting agent workflows via CLIs or SDKs.\nSolid grounding in Git workflows, testing, code review, and secure coding practices.\nWorking knowledge of AWS (Bedrock, IAM, Lambda, API Gateway, S3).\nExcellent analytical, problem-solving, and collaboration skills.\nPreferred Qualifications\nExperience with the Claude Agent SDK, Claude on Bedrock, or the OpenAI Agents SDK.\nExperience applying coding agents to large-scale legacy modernization or migration programs.\nExperience building internal developer platforms or developer productivity tooling.\nExperience with AI gateways, LLM observability, and usage/cost tracking.\nExperience deploying AI coding tools in a regulated environment.\nFamiliarity with SAST/DAST and software supply chain security.\nInfrastructure as code experience (Terraform, CDK).\nFinancial Services domain experience across Banking, Capital Markets, Asset Management, Wealth Management, or Insurance.\nAWS certifications (Developer, Solutions Architect, or Machine Learning\nPay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $100,000 - $130,000. In addition, you may be eligible for a discretionary bonus for the current performance period.\nBenefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of Employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nNot the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!","description_format":"text","description_chars":8299,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Decision Intelligence","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-09T18:57:13Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:7","stale_co","velocity","win:early"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":130000,"is_top_pay":false},"html_url":"https://alion.io/job/fractal-ai-engineer-2","json_url":"https://alion.io/job/fractal-ai-engineer-2.json","meta":{"generated_at":"2026-10-11T03:39:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1493,"day_limit":5000,"remaining_today":3507,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":226},"rest":"https://alion.io/mcp/rest/get_company?id=226"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffractal-ai-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffractal-ai-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffractal-ai-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fractal-ai-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffractal-ai-engineer-2"}]}