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AI Engineer

WITHIN · Long Island City, New York · Hybrid · Active · $90,900–$254,100 / year · Greenhouse

Job facts

FieldValue
CompanyWITHIN
TitleAI Engineer
Normalized title-
Department / teamData Science
LocationLong Island City, NY, United States
Work modelHybrid / Hybrid
Employment type-
Salary$90,900–$254,100 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-02-19 / 2026-05-29
Changed / last seen2026-06-04 / 2026-06-18

Related slices

PageWhat it containsOpen
Company jobsActive postings from WITHIN.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Long Island City.Open
Department jobsActive postings in Data Science.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWITHIN
Source4a4190db-e8f6-4e9e-b3f5-d9959ef2a8c4
ATS providerGreenhouse

Description

About the Role We are seeking an exceptional AI Engineer to join our growing team and take a leading role in building and evolving our internal AI-powered agent platform used across the organization. In this role, you will design, build, and improve AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs (Google Ads, Meta), and stateful code execution environments. You will play a critical role in improving reliability, context orchestration, evaluation maturity, and expanding Rai into document and workflow automation use cases. Your work will directly impact 200–500 employees and potentially clients, making AI a core productivity multiplier across the organization. Responsibilities include but are not limited to: LLM Application Development Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs. Agent & Tool Orchestration Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations. Context & Memory Management Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations. Reliability & Guardrails Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies. Evaluation & Quality Assurance Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics. Product Expansion Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations. Collaboration Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals. Continuous Innovation Stay current with advances in LLM systems, agent architectures, and applied AI tooling to continuously improve Rai’s capabilities. Requirements Strong programming skills in Python with experience building production systems. Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.). Deep understanding of: Context windows and token limits Multi-turn conversation behavior Tool/function calling Structured outputs (JSON schema) Prompt design and failure modes Experience integrating external APIs into production systems. Proficiency in SQL. Experience working with cloud platforms (GCP, AWS, or Azure). Strong problem-solving skills and ability to debug complex system behavior. Excellent communication and cross-functional collaboration skills. Strong Plus Experience designing evaluation frameworks for LLM-powered systems. Understanding of embeddings, vector search, and RAG architectures. Experience building agent or multi-agent workflows. Experience with stateful execution environments or sandboxed code execution. Experience with document automation (Google Docs, Slides, PDFs). Experience building internal developer tools or productivity platforms. TypeScript. Required knowledge of: Python SQL Cloud Platforms (GCP, AWS, Azure) LLMs / AI APIs Git / GitHub Nice to have: Data Warehouses (BigQuery, Snowflake, Redshift) Data Transformation (dbt) Semantic Layers (Cube, Looker, dbt Metrics) TypeScript Our interview process includes, but is not limited to the following: Excel and Typing Test We offer a competitive salary and benefits based on ability level, including: Unlimited vacation policy Monthly Phone Stipend Comprehensive Medical, Dental, and Vision insurance options 401(K) plan with matching Dog friendly office Hybrid work opportunity Professional Development Program Bonus Perk - Seamless allowance Total compensation based on education, experience, and skills level ($90,900-$254,100) Level 1 - Possesses essential capabilities $90,900-$123,540 Level 2 - Possesses developing capabilities $123,540-$156,180 Level 3 - Possesses notable capabilities. $156,180-$188,820 Level 4 - Possesses strong capabilities. $188,820-$221,460 Level 5 - Possesses advanced capabilities. $221,460-$254,100 About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we’re able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It’s a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work ! We weave AI into everything we do , using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it’s in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: LinkedIn WhatsApp Community I nstagram Tik Tok Locations New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México AI-Assisted Screening Notice As part of our initial application review process, we may use an AI-assisted tool to help compare skills and job titles from your resume with the requirements of the role. This tool evaluates information based on contextual relevance and is used only to support our manual review process. It is not used to make hiring decisions. If you are a resident of New York City and would like to request an alternative evaluation process or a reasonable accommodation, please contact us at 315-533-2388.

Full job record

Job ID05c6e5ac46ffc46e297a573d97473f165e4b9812
Org IDb8dee3cf-8de2-4653-a05e-4491488c1ef5
Source ID4a4190db-e8f6-4e9e-b3f5-d9959ef2a8c4
Board ID4a4190db-e8f6-4e9e-b3f5-d9959ef2a8c4
Providergreenhouse
Provider Job Key5056863007
TitleAI Engineer
Normalized Title
Statusactive
Activeyes
Location TextLong Island City, New York
DepartmentData Science
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNY
CityLong Island City
Salary Rawcompensation based on education, experience, and skills level ($90,900-$254,100) Level 1 - Possesses essential capabilities $90,900-$123,540 Level 2 - Possesse
Salary Min90,900
Salary Max254,100
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/agencywithin/jobs/5056863007
Apply URLhttps://job-boards.greenhouse.io/agencywithin/jobs/5056863007
First Seen At2026-05-29 22:40:53Z
Last Seen At2026-06-18 07:33:38Z
Last Checked At2026-06-18 07:33:38Z
Last Changed At2026-06-04 11:12:02Z
Inactive At
Source Posted At2026-02-19 17:37:41Z
Source Updated At2026-06-01 14:05:40Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=agencywithin/date=2026-06-18/2026-06-18T07-33-38-245Z-5b6875a64db32b3cf28f8e98d3a85955603c9b98940203726aba9e352de15285.json
Event Fields
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  "last_changed_at": "2026-06-04T11:12:02.571Z",
  "active_status": "active"
}
Parsed Structured
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    "city": "Long Island City",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.85
  },
  "salary_max": 254100,
  "salary_min": 90900,
  "inferred_at": "2026-06-18T07:33:38.519Z",
  "launch_scope": {
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    "location": {
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      "region": "NY",
      "country": "United States",
      "is_remote": false,
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    },
    "countries": [
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  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
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  "offices": [
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      "name": "HQ",
      "location": "43-01 22nd Street Suite 602 Long Island City, NY 11101",
      "child_ids": [],
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  ],
  "language": "en",
  "location": {
    "name": "Long Island City, New York"
  },
  "metadata": [],
  "updated_at": "2026-06-01T10:05:40-04:00",
  "departments": [
    {
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      "name": "Data Science",
      "child_ids": [],
      "parent_id": 4021243007
    }
  ],
  "company_name": "WITHIN",
  "requisition_id": 4594783007,
  "first_published": "2026-02-19T12:37:41-05:00",
  "application_deadline": null
}
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