Principal AI Engineer AI Enablement Platform
ABC Fitness
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Benefits offered by this job
Job summary
ABC Fitness is seeking a hands‑on Senior AI Platform Engineer to build and operate the core AI platform foundations. You will design and ship reusable AI capabilities, APIs, and orchestration patterns, while ensuring reliability and observability across production systems.
You will collaborate with SRE, Security, and Product teams to deliver scalable, secure AI features, and mentor engineers on end‑to‑end AI engineering best practices.
Qualifications
- 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; comfortable diving into code, APIs, infrastructure, observability, debugging, and tradeoffs.
- Proven experience building and shipping production‑grade AI/LLM systems such as RAG, agent workflows, tool‑calling systems, AI APIs, or LLM‑powered capabilities.
- Strong programming experience, preferably Python and/or backend 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.
- Experience deploying and operating cloud‑based production systems on AWS, GCP, Azure or similar.
- Ability to lead through hands‑on technical contribution: writing code, creating reference implementations, reviewing designs, mentoring engineers, and turning needs into working systems.
- Experience influencing across teams through architecture reviews, design documents, and engineering standards.
Responsibilities
- Build the AI platform foundations: production code for core services, APIs, orchestration, SDKs, and tools.
- Design and operate reusable AI platform capabilities like chat APIs, RAG, summarization, semantic search, and workflow execution.
- Create production‑ready patterns for retrieval, tool use, memory/state management, and human‑in‑the‑loop workflows.
- Review PRs, debug production issues, improve reliability, and balance pragmatic tradeoffs with the team.
- Partner with SRE, Security, Platform, and Product Eng to ensure reliable, scalable, secure, observable, cost‑aware platforms.
- Develop evaluation harnesses for LLM systems, implement observability practices, and define quality gates for releases.
Skills
Tools
Job description
Join ABC Fitness and become part of a culture that’s as ambitious as it is authentic. Let’s transform the future of fitness—together!
We believe great work begins with great people. That’s why our culture is built on respect, trust, and belonging. We create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact.
We are doers, thinkers, and dreamers. At ABC Fitness, your growth is our investment. Through continuous learning, mentorship, and professional development opportunities, we empower you to reach new heights—personally and professionally.
From day one, you’ll be part of a team that collaborates, celebrates, and cares. We move fast, support one another, and have fun along the way. Because when you thrive, we all thrive.
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.
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.
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.
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.
Not a data science role focused on analysis, experimentation, or dashboards.
Not an ML research role focused on training foundation models from scratch.
Not a prompt-only role without ownership of production systems.
Not building one-off AI features for a single product line.
Not an architecture-only role where you primarily create diagrams, review designs, or delegate implementation to others.
Not a people-management role. You will influence, mentor, and lead through technical depth, but this is an individual contributor position.
This is a hands-on platform engineering role focused on building the systems, standards, and paved paths that make AI production-ready across ABC.
Significant hands‑on engineering experience, typically10+ 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 inPythonand/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.
Product teams across ABC use the AI Enablement Platform as the default starting point for AI‑powered features.
Teams can move from AI idea to production feature significantly faster because reusable APIs, SDKs, templates, evals, and guardrails are already available.
AI systems are observable, measurable, debuggable, and safe to operate in production.
Teams have clear evaluation practices, regression checks, and release gates for LLM‑powered workflows.
Repeated AI patterns become shared capabilities instead of one‑off implementations across product teams.
The “ABC Way” of building AI systems becomes widely understood through architecture reviews, documentation, internal demos, and engineering best practices.
Engineering teams use AI tools and platform capabilities to improve how software is designed, built, tested, reviewed, documented, and operated.
If we get this right, AI at ABC Fitness will not be a collection of isolated experiments. It will become a core engineering capability that every team can use to build better products faster.
This role will help define how ABC builds AI‑powered software: production‑first, safe by default, measurable, reusable, and deeply integrated into the way engineering teams work.
Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset
Time Off – competitive PTO plans with 15 Earned accrued leave, 12 days Sick leave, and 12 days Casual leave per year
11 Holidays plus 4 Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam
Group Mediclaim insurance coverage of INR 500,000 for employee + spouse, 2 kids, and parents or parent‑in‑laws, and including EAP counseling
Life Insurance and Personal Accident Insurance
Best Life Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement
Premium Calm App – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16
Support for working women with financial aid towards crèche facility, ensuring a safe and nurturing environment for their little ones while they focus on their careers
ABC is an equal opportunity employer committed to diversity, equity, and inclusion. We strive to create a workplace where every employee, client, and partner feels valued, inspired, and empowered to reach their full potential. For us, inclusion isn’t just the right thing to do—it’s a business imperative. Learn more at abcfitness.com.
ABC Fitness is the #1 software provider for fitness businesses of any size, all around the world. Supporting 30K clubs, 650K coaches, 40M members, and processing more than $12B in payments every year, ABC Fitness provides scalable, data‑driven solutions to simplify club management and engage members and clients.
From personal trainers, boutique studios, and gyms, to international franchise health clubs, ABC Fitness will move your business forward through technology and industry insights. Innovation is at the center of everything we do, across ABC Glofox, ABC Ignite, ABC Trainerize, and ABC Evo. Let's make your fitness vision a seamless reality, together. Learn more at abcfitness.com
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