Artificial Intelligence Engineer

ABOUT SURGEACE

SurgeACE is an AI-powered SaaS platform built exclusively for the sports industry , helping sports academies, studios, and clubs manage and grow their business end-to-end. From leads, admissions, athlete management, coaching operations, attendance, scheduling, payments, communication, CRM, and analytics to AI-powered automation, we're building the AI Operating System for the Sports Industry —embedding intelligence into every workflow to help sports organizations operate smarter and grow faster.

ABOUT THE ROLE

We're hiring an AI Engineer who combines AI engineering with product thinking. This is not a research or data science role—we're looking for someone who can identify high-impact AI opportunities, rapidly prototype solutions using LLMs, agents, and RAG, and ship production-ready features into our Java, React, and AWS platform while working closely with product, engineering, and design teams.

REQUIRED SKILLS & EXPERIENCE

• 3–5 years building AI-powered applications in production, not research
• Strong understanding of LLMs and how to put them to work
• Hands-on experience integrating OpenAI, Claude, Gemini, or comparable APIs
• Track record building AI applications rather than training models
• Solid experience with REST APIs and Git
• Comfort with Docker and AWS
• Experience integrating AI into real SaaS products
• Working understanding of prompt engineering
• Practical experience with RAG and vector databases
• Experience building AI agents and agentic workflows
• Excellent debugging skills
• Strong product thinking and customer instincts
• Excellent communication and cross-team collaboration

KEY RESPONSIBILITIES

AI Product Development — Identify high-impact AI opportunities across the platform, design AI-powered workflows, prototype fast, and take them from concept to production alongside Product Managers.

• Product Thinking — Start from the customer's problem, not the model. Recommend AI features that solve real business pain, measure adoption and impact, and say no to AI for its own sake.
• AI Engineering — Build LLM-powered services and AI APIs, implement RAG pipelines and agents, run evaluations, optimize prompts, and reduce hallucinations at the source.
• Engineering — Integrate AI into our Java/Spring Boot microservices and React frontend, design clean APIs, write production-quality code, and hold the bar high in review.
• Innovation — Track the AI landscape as it moves week to week, evaluate new models and frameworks, and push the rest of engineering toward AI-first instincts.

TECHNOLOGY STACK

Backend: Java 17+, Spring Boot, PostgreSQL, SQL, REST APIs, Microservices Frontend: React.js Cloud & DevOps: AWS, Docker, Kubernetes (preferred) LLMs: OpenAI, Anthropic Claude, Google Gemini, Llama, Mistral, Qwen AI Frameworks: LangChain, LangGraph, LlamaIndex AI Infrastructure: FastAPI (preferred), Python, RAG, Vector Databases, Agents, Evaluation & Guardrails

WHAT YOU'LL BUILD

A sample of the problems you'll pick up, prototype, and ship:

• Admissions Copilot — An agent that qualifies inbound leads, answers parent questions instantly, and books trial sessions before a human ever gets involved.
• Athlete Intelligence — Models that turn raw attendance, performance, and coach notes into a clear read on athlete progress, engagement, and churn risk.
• Coach & Scheduling Assistant — An AI layer that resolves scheduling conflicts, staffing gaps, and last-minute changes automatically, across hundreds of batches.
• Smart Collections — Predictive nudges that reduce payment delays without turning every reminder into an awkward conversation.
• Conversational CRM — A natural-language interface so an academy owner can just ask "who hasn't paid this month" instead of building a report.
• Analytics Narrator — AI that turns dashboards into plain-English insights and next-best-actions for non-technical academy owners.

This isn't a fixed roadmap — it's a sample of the kind of problems you'll pick up, prototype, and ship.

WHY JOIN SURGEACE

Build AI-powered products that solve real problems for thousands of sports organizations. Work directly with founders, own the AI roadmap, and turn ideas into production quickly. If you're looking for high ownership, rapid growth, and the opportunity to shape the future of AI in sports technology, this is the place to do it.

LOCATION & WORK MODE

Location : Hyderabad

Work Mode: Work From Office, 5 days a week

Employment Type:

Experience: 3–5 years, including minimum 2 years of hands-on experience in AI product development.

HIRING PROCESS

1. Application Review — We review your experience, skills, and overall fit for the role.
2. Product Conversation — A quick discussion with the Product Owner / Head of Sales to understand your product mindset and aspirations.
3. Technical Interview — A deep dive with the Head Architect to assess your technical expertise and problem-solving approach.
4. Final Discussion — Meet with the VP of Delivery to evaluate leadership potential, ownership, and cultural fit.
5. Offer — If it's a great fit on both sides, we'll move quickly with an offer.