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Explainable AI Engineer

Braingainrecruiting · Palo Alto, CA, United States · Remote · Active · $100–$200,000,000 / week · SmartRecruiters

Job facts

FieldValue
CompanyBraingainrecruiting
TitleExplainable AI Engineer
Normalized title-
Department / teamInformation Technology
LocationPalo Alto, CA, United States
Work modelRemote / Remote
Employment typeContract
Salary$100–$200,000,000 / week
Statusactive
ATS providerSmartRecruiters
Posted / first seen2026-04-08 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from Braingainrecruiting.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Palo Alto.Open
Department jobsActive postings in Information Technology.Open
Work model jobsActive Remote 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

CompanyBraingainrecruiting
Source980e416b-6ddd-4310-b9b3-79556b0ec4cc
ATS providerSmartRecruiters

Description

We’re an  Industrial AI start-up  founded by a Stanford professor and led by recognized leaders in Data Intelligence for Aerospace & Defense supply chain operations. Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly budget). Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts. We are building hallucination-free Agentic AI for mission critical decision support where GenAI relies on proprietary Explainable AI engines for SME-explainable insights from historical data. We’re hiring an  Explainable   AI Engineer  to build, integrate, and deploy our AI Engines and Agentic AI workflows. You’ll have an opportunity to learn from Stanford and Georgia Tech professors and work across algorithms and data pipelines to evolve our Explainable AI including Development of deep math features for the models, ML, and inferences Automation of data wrangling and cleansing towards scalability Aerospace grade V&V for mission critical functions using simulations Explainable AI engine interfaces to data, human users, and Agentic AI Main Responsibilities: Understand, develop, & support deep math analytics in Explainable AI Engines Build, evolve, verify, and validate data processing pipeline segments Support scalable deployment of the AI Integrate Explainable AI with LLM tools for Agentic AI experience Collaborate with the cloud software team and occasionally with customers Document Explainable AI for customer users and internal software developers Must-haves Experience with productized analytical applications Experience building mission-critical applications as a part of a team Hands-on skills in at least some of mathematical methods in: Statistics Bayesian estimation Mathematical optimization Decision and Control Experience with  MATLAB Experience in Java and GitHub (Actions). Solid experience writing technical documentation Strong collaboration and communication skills. Bachelor’s Degree in Engineering or a related field U.S. Citizenship . Pluses Model-based development / simulation-based verification Operations Research Supply chain and/ or MRO in the aerospace industry Building SaaS type applications Shell scripting, Golang. Experience with GenAI and LLM augmentation (RAG) An advanced degree US Citizenship Required:  This position requires the ability to work with Controlled Unclassified Information for the Department of Defense. A background check and a drug check may be required. Location:  This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA office may be a plus. You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least 10 hours/ week), or a full-time employee.

Full job record

Job ID9a31c6af3eedd66fe153ce7480c8ee164b013e46
Org ID518c81a0-8c1a-4bcc-9a20-b1cf04430e4e
Source ID980e416b-6ddd-4310-b9b3-79556b0ec4cc
Board ID980e416b-6ddd-4310-b9b3-79556b0ec4cc
Providersmartrecruiters
Provider Job Key744000119475437
TitleExplainable AI Engineer
Normalized Title
Statusactive
Activeyes
Location TextPalo Alto, CA, United States
DepartmentInformation Technology
Team
Employment Typecontract
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CityPalo Alto
Salary RawWe’re an  Industrial AI start-up  founded by a Stanford professor and led by recognized leaders in Data Intelligence for Aerospace & Defense supply chain operations. Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly budget). Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts. We are building hallucination-free Agentic AI for mission critical decision support where GenAI relies on proprietary Explainable AI engines for SME-explainable insights from historical data. We’re hiring an  Explainable   AI Engineer  to build, integrate, and deploy our AI Engines and Agentic AI workflows. You’ll have an opportunity to learn from Stanford and Georgia Tech professors and work across algorithms and data pipelines to evolve our Explainable AI including Development of deep math features for the models, ML, and inferences Automation of data wrangling and cleansing towards scalability Aerospace grade V&V for mission critical functions using simulations Explainable AI engine interfaces to data, human users, and Agentic AI Main Responsibilities: Understand, develop, & support deep math analytics in Explainable AI Engines Build, evolve, verify, and validate data processing pipeline segments Support scalable deployment of the AI Integrate Explainable AI with LLM tools for Agentic AI experience Collaborate with the cloud software team and occasionally with customers Document Explainable AI for customer users and internal software developers Must-haves Experience with productized analytical applications Experience building mission-critical applications as a part of a team Hands-on skills in at least some of mathematical methods in: Statistics Bayesian estimation Mathematical optimization Decision and Control Experience with  MATLAB Experience in Java and GitHub (Actions). Solid experience writing technical documentation Strong collaboration and communication skills. Bachelor’s Degree in Engineering or a related field U.S. Citizenship . Pluses Model-based development / simulation-based verification Operations Research Supply chain and/ or MRO in the aerospace industry Building SaaS type applications Shell scripting, Golang. Experience with GenAI and LLM augmentation (RAG) An advanced degree US Citizenship Required:  This position requires the ability to work with Controlled Unclassified Information for the Department of Defense. A background check and a drug check may be required. Location:  This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA office may be a plus. You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least 10 hours/ week), or a full-time employee.
Salary Min100
Salary Max200,000,000
Salary CurrencyUSD
Salary Periodweek
Source URLhttps://jobs.smartrecruiters.com/braingainrecruiting/744000119475437-explainable-ai-engineer
Apply URLhttps://jobs.smartrecruiters.com/braingainrecruiting/744000119475437-explainable-ai-engineer?oga=true
First Seen At2026-05-31 17:42:43Z
Last Seen At2026-06-23 10:58:42Z
Last Checked At2026-06-23 10:58:42Z
Last Changed At2026-05-31 17:42:43Z
Inactive At
Source Posted At2026-04-08 21:29:18Z
Source Updated At
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