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ABC Fitness
ABC Fitness

Staff AI Engineer (AI Enablement Platform)

RemotePoland only
Published
Role
AI / ML
Experience
Staff
Employment
Full-time
Company size
Enterprise
PLN 420k–PLN 450k/yr
Check eligibility

Open to PL only. Set where you work from to check your eligibility.

No BS summary

Staff AI Engineer needed for an AI Enablement Platform. Requires 10+ years of backend/platform engineering experience, with recent hands-on experience building and operating production-grade LLM systems, APIs, and orchestration layers. Must be proficient in Python and comfortable with cloud platforms (AWS, GCP, Azure). Role is deeply hands-on, focusing on building production code and reusable platform services, not ML research.

Core skills

LLM systemsAI Enablement Platformbackend/platform engineering

Required skills

Pythonbackend systemsplatform systemsproduction APIsdistributed systemsRAGagent workflowstool-calling systemsAI APIsAPI designSDKsreliabilitytestingobservabilityperformancecost optimizationcontext engineeringretrieval patternsstructured outputsorchestrationfallback handlingevaluationAWSGCPAzure

Optional skills

LangfuseLangSmithOpen TelemetryLangChainLangGraphLlamaIndexSemantic Kernelvector databases

What you'll do

  • Build the AI platform foundations
  • Write and ship production code for core AI platform services, APIs, orchestration components, evaluation systems, SDKs, and internal developer tools.
  • Design, build, and operate reusable AI platform capabilities such as chat APIs, RAG services, summarization, classification, semantic search, prompt/workflow execution, and agent orchestration.
  • Build high-quality APIs, SDKs, templates, and reference implementations that product teams can adopt with minimal friction.
  • Create production-ready orchestration patterns for retrieval, tool use, validation, fallback handling, memory/state management, and human-in-the-loop workflows.
  • Stay close to implementation details by reviewing PRs, debugging production issues, improving reliability, and making pragmatic technical tradeoffs with the team.
  • Partner with SRE, Security, Platform, and Product Engineering teams to ensure the platform is reliable, scalable, secure, observable, and cost-aware.
  • Own evaluation, reliability, and production readiness
  • Build evaluation harnesses for LLM-powered systems, including curated test sets, scenario-based evaluations, regression checks, quality gates, and release criteria.
  • Implement AI observability practices such as tracing, prompt/version tracking, output quality monitoring, latency tracking, token/cost visibility, and production feedback loops.
  • Design safe defaults for AI systems, including structured outputs, tool permissions, prompt-injection awareness, data handling controls, fallback paths, and failure-mode handling.
  • Ensure AI capabilities are built with strong production fundamentals: testing, monitoring, rollout strategy, incident readiness, performance tuning, and cost management.
  • Help teams move from prototypes to production by identifying gaps in reliability, observability, security, evaluation, and operational readiness.
  • Drive AI adoption across ABC
  • Establish the “ABC Way” of building production AI systems through patterns, standards, documentation, code examples, architecture reviews, and technical enablement.
  • Work directly with product teams to help them adopt the platform, unblock implementation challenges, and turn early AI ideas into production-ready features.
  • Lead technical design reviews and architecture forums for AI systems, ensuring teams make sound decisions around quality, safety, reliability, and maintainability.
  • Identify repeated friction across teams and convert it into reusable platform capabilities.
  • Help raise AI engineering capability across the company through internal demos, enablement sessions, office hours, technical write-ups, and engineering blog posts.
  • Lead through technical influence
  • Act as a hands-on technical leader and multiplier, not just an advisor.
  • Set technical direction for complex AI platform areas and align stakeholders across Product, Engineering, Security, SRE, and Data.
  • Mentor engineers on production AI engineering practices, backend design, system reliability, evaluation strategy, and AI-native development workflows.
  • Help teams use AI-assisted engineering tools responsibly to improve development speed, testing, debugging, documentation, and iteration without compromising quality.

What they require

  • Significant hands-on engineering experience, typically 10+ years , with strong backend/platform engineering depth.
  • Recent hands-on experience building and operating production backend/platform systems. You should be comfortable going deep into code, APIs, infrastructure, observability, debugging, and production tradeoffs.
  • Proven experience building and shipping production-grade AI/LLM systems such as RAG, agent workflows, tool-calling systems, AI APIs, or LLM-powered product capabilities.
  • Strong programming experience, preferably in Python and/or backend service stacks used for production APIs and distributed systems.
  • Deep understanding of API design, service boundaries, SDKs, integration patterns, reliability, testing, observability, performance, and cost optimization.
  • Practical experience with LLM application architecture: context engineering, retrieval patterns, tool use, structured outputs, orchestration, fallback handling, and evaluation.
  • Ability to build evaluation and validation systems for AI applications, including golden datasets, scenario-based tests, regression checks, and quality gates.
  • Experience deploying and operating cloud-based production systems on AWS, GCP, Azure, or similar platforms.
  • Strong technical judgment and ability to make tradeoffs across speed, reliability, safety, cost, developer experience, and business impact.
  • Ability to lead through hands-on technical contribution: writing code, creating reference implementations, reviewing designs, mentoring engineers, and turning ambiguous platform needs into working systems.
  • Proven ability to influence across teams through architecture reviews, design documents, technical standards, mentorship, and hands-on partnership.
  • Experience building internal developer platforms, SDKs, shared services, or paved-path tooling.
  • Hands-on experience with LLM observability/evaluation tooling such as Langfuse , LangSmith , Open Telemetry-based tracing, or similar tools.
  • Familiarity with LangChain , LangGraph , LlamaIndex , Semantic Kernel, or custom orchestration frameworks.
  • Experience with vector databases, embedding workflows, semantic search, retrieval tuning, and RAG productionization .
  • Experience with AI-native engineering workflows using tools like Cursor, GitHub Copilot, Claude, ChatGPT, or similar tools.
  • Experience writing technical blogs, internal engineering guides, architecture documents, or enablement material that helps engineering teams adopt new practices.
  • Experience leading technical standards or architecture forums across multiple engineering teams.
  • We welcome diverse talent and encourage you to apply, even if you don’t meet every requirement.

Benefits

  • Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset
  • Time Off – with our open PTO policy, you pick when you want time off when it’s best for you!
  • Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam
  • Parental & Pawternity Leave – we offer leave for when your family grows by two feet or four paws!
  • Fitness Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement.
  • Discounts – access to discounts with our partners, such as Dell, Microsoft & many more.
  • Medical/Dental/Vision coverage.
  • EAP – we get you help when you need it. Period.
  • Calm App +4 – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16.
  • And more!

ABC Fitness, the #1 software provider for fitness businesses, supporting clubs, coaches and members worldwide through products such as ABC Glofox, ABC Ignite, ABC Trainerize, and ABC Evo.

FitnessEnterpriseabcfitness.com

What people say about this company

4.0/ 5

  • Employees appreciate the supportive work culture.
  • Many find the management to be approachable and helpful.
  • Work-life balance is often mentioned positively.
PLN 420k–PLN 450k/yr