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HomeCompaniesVirtasant Teamtailor ComSenior Backend / Product Engineer (AI Platform)

Senior Backend / Product Engineer (AI Platform)

Virtasant Teamtailor Com · HQ, Austin, United States · Remote · Active · Teamtailor

Job facts

FieldValue
CompanyVirtasant Teamtailor Com
TitleSenior Backend / Product Engineer (AI Platform)
Normalized title-
Department / team-
LocationAustin, United States
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerTeamtailor
Posted / first seen2026-01-16 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-22

Related slices

PageWhat it containsOpen
Company jobsActive postings from Virtasant Teamtailor Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Teamtailor.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Austin.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

CompanyVirtasant Teamtailor Com
Source589897e8-2a11-492d-af5b-fb11d7a86271
ATS providerTeamtailor

Description

Senior Backend / Product Engineer (AI Platform) Location: Remote Type: Full-time Team: Cost Optimisation (CO) – Product Engineering Reports to: Product Lead (CO) About Virtasant Virtasant is a global technology services company with a network of over 4,000 professionals across 130+ countries. We specialise in cloud architecture, engineering, and transformation, helping enterprises deliver at scale while building internal capability and reducing third-party dependency. We work with ambitious, forward-thinking organisations to solve real-world challenges through hands-on execution, deep technical expertise, and a delivery-led approach. The Role We’re hiring a senior backend-first product engineer to help build and scale our AI-powered cost intelligence platform. This role is explicitly product-focused. You will not be pulled into client delivery. Your mission is to build core platform capabilities that mature our current FinOps platform into a smart intelligence platform - including AI-driven insights, workflows, and agent-based features that can be sold as standalone capabilities. You’ll operate with high autonomy, significant ownership, and direct access to product leadership. Think founding engineer energy , without the chaos. You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty. What You’ll Be Doing Design and build backend-heavy platform features for our platform. Productionalise AI-enabled capabilities (e.g. anomaly detection, recommendations, agent-based workflows). Implement AI thoughtfully across the entire SDLC - prototyping, testing, iteration, and deployment. Collaborate closely with Product to turn vision into shipped features. Identify blockers early, communicate clearly, and iterate fast. Help shape engineering standards and patterns as the product matures. You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty. Design systems that support model evaluation, prompt/version management, and deterministic fallbacks to ensure AI-driven features are observable, testable, and production-safe. Build AI features with explicit evaluation criteria, feedback loops, and guardrails (accuracy, latency, cost, and explainability) so models improve predictably over time. Success in the first 6–12 months looks like: 2+ production-ready features shipped. Tangible progress towards operating as a smart intelligence platform. Clear, repeatable engineering patterns for AI-enabled development. Utilize lightweight but rigorous AI engineering practices (evaluation harnesses, rollout strategies, and rollback mechanisms) that allow the platform to scale AI features safely and repeatedly. What We’re Looking For (Non-Negotiables) 8+ years professional software engineering experience. Strong backend engineering background (full-stack a plus, not required). Hands-on experience building on AWS. Strong proficiency in Python (Java/C++ acceptable as secondary languages). Demonstrated experience using AI in real production systems (not just experimentation - clear, repeatable patterns). Comfortable working in ambiguity with product-led direction. Ability to architect backend services that support asynchronous workflows, event-driven pipelines, and AI agents that operate over time rather than single request/response cycles. Comfort articulating why certain AI approaches were not used, including trade-offs around latency, explainability, data availability, or long-term maintainability. What Matters More Than Checklists We care deeply about how you think and build, not just what tools you’ve used. We’re looking for engineers who can: Tell a compelling story about a product journey, not just features shipped Explain why decisions were made and what trade-offs were considered Fail fast, learn quickly, and iterate relentlessly Clearly articulate technical roadblocks and collaborate on solutions Thrive in a fast-paced, high-ownership environment What This Role Is Not Not a Solutions Architect role. Not client-facing delivery work. Not a support or “overflow” engineering position. This role is protected, by design, to focus on product and platform . Why This Role Stands Out You’ll work on a real AI product , not internal tooling or demos. Near-founding-engineer level autonomy and influence. Direct impact on product direction and commercial outcomes. Opportunity to help shape a platform with standalone, licensable AI capabilities. A rare chance to build product inside a consultancy without being consumed by client work. You’ll build AI capabilities informed by real enterprise-scale cost and usage data, enabling smarter models and workflows than greenfield or synthetic-data products. Why Virtasant High ownership, high trust environment. Opportunity to own and shape technical delivery at scale. Work closely with experienced engineering and delivery teams. Exposure to broader cloud optimisation and consulting initiatives over time.

Full job record

Job ID7d94edb2e1e942b01606dedcc0d2136d4ead349c
Org ID15bf8120-1479-4c7b-8e2c-6a944dbd7ba5
Source ID589897e8-2a11-492d-af5b-fb11d7a86271
Board ID589897e8-2a11-492d-af5b-fb11d7a86271
Providerteamtailor
Provider Job Key7064368
TitleSenior Backend / Product Engineer (AI Platform)
Normalized Title
Statusactive
Activeyes
Location TextHQ, Austin, United States
Department
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
CityAustin
Salary RawSenior Backend / Product Engineer (AI Platform) Location: Remote Type: Full-time Team: Cost Optimisation (CO) – Product Engineering Reports to: Product Lead (CO) About Virtasant Virtasant is a global technology services company with a network of over 4,000 professionals across 130+ countries. We specialise in cloud architecture, engineering, and transformation, helping enterprises deliver at scale while building internal capability and reducing third-party dependency. We work with ambitious, forward-thinking organisations to solve real-world challenges through hands-on execution, deep technical expertise, and a delivery-led approach. The Role We’re hiring a senior backend-first product engineer to help build and scale our AI-powered cost intelligence platform. This role is explicitly product-focused. You will not be pulled into client delivery. Your mission is to build core platform capabilities that mature our current FinOps platform into a smart intelligence platform - including AI-driven insights, workflows, and agent-based features that can be sold as standalone capabilities. You’ll operate with high autonomy, significant ownership, and direct access to product leadership. Think founding engineer energy , without the chaos. You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty. What You’ll Be Doing Design and build backend-heavy platform features for our platform. Productionalise AI-enabled capabilities (e.g. anomaly detection, recommendations, agent-based workflows). Implement AI thoughtfully across the entire SDLC - prototyping, testing, iteration, and deployment. Collaborate closely with Product to turn vision into shipped features. Identify blockers early, communicate clearly, and iterate fast. Help shape engineering standards and patterns as the product matures. You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty. Design systems that support model evaluation, prompt/version management, and deterministic fallbacks to ensure AI-driven features are observable, testable, and production-safe. Build AI features with explicit evaluation criteria, feedback loops, and guardrails (accuracy, latency, cost, and explainability) so models improve predictably over time. Success in the first 6–12 months looks like: 2+ production-ready features shipped. Tangible progress towards operating as a smart intelligence platform. Clear, repeatable engineering patterns for AI-enabled development. Utilize lightweight but rigorous AI engineering practices (evaluation harnesses, rollout strategies, and rollback mechanisms) that allow the platform to scale AI features safely and repeatedly. What We’re Looking For (Non-Negotiables) 8+ years professional software engineering experience. Strong backend engineering background (full-stack a plus, not required). Hands-on experience building on AWS. Strong proficiency in Python (Java/C++ acceptable as secondary languages). Demonstrated experience using AI in real production systems (not just experimentation - clear, repeatable patterns). Comfortable working in ambiguity with product-led direction. Ability to architect backend services that support asynchronous workflows, event-driven pipelines, and AI agents that operate over time rather than single request/response cycles. Comfort articulating why certain AI approaches were not used, including trade-offs around latency, explainability, data availability, or long-term maintainability. What Matters More Than Checklists We care deeply about how you think and build, not just what tools you’ve used. We’re looking for engineers who can: Tell a compelling story about a product journey, not just features shipped Explain why decisions were made and what trade-offs were considered Fail fast, learn quickly, and iterate relentlessly Clearly articulate technical roadblocks and collaborate on solutions Thrive in a fast-paced, high-ownership environment What This Role Is Not Not a Solutions Architect role. Not client-facing delivery work. Not a support or “overflow” engineering position. This role is protected, by design, to focus on product and platform . Why This Role Stands Out You’ll work on a real AI product , not internal tooling or demos. Near-founding-engineer level autonomy and influence. Direct impact on product direction and commercial outcomes. Opportunity to help shape a platform with standalone, licensable AI capabilities. A rare chance to build product inside a consultancy without being consumed by client work. You’ll build AI capabilities informed by real enterprise-scale cost and usage data, enabling smarter models and workflows than greenfield or synthetic-data products. Why Virtasant High ownership, high trust environment. Opportunity to own and shape technical delivery at scale. Work closely with experienced engineering and delivery teams. Exposure to broader cloud optimisation and consulting initiatives over time.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://virtasant.teamtailor.com/jobs/7064368-senior-backend-product-engineer-ai-platform
Apply URLhttps://virtasant.teamtailor.com/jobs/7064368-senior-backend-product-engineer-ai-platform
First Seen At2026-05-31 17:46:33Z
Last Seen At2026-06-22 14:36:28Z
Last Checked At2026-06-22 14:36:28Z
Last Changed At2026-05-31 17:46:33Z
Inactive At
Source Posted At2026-01-16 10:21:53Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=teamtailor/board=virtasant.teamtailor.com/date=2026-06-22/2026-06-22T14-36-27-511Z-e311e31048f0bb8a3cea6ee883ae0c0c5eb1864a29247249668281913b4030bf.json
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