AI Solutions Engineer

Next League, LLC • New York, NY

6d

About The Position

Next League is seeking an AI Solutions Engineer to design, build, and ship production AI systems across our portfolio of sports, entertainment, and league clients. This role is the engineering counterpart to our Data Scientist and AI Product Manager roles, responsible for turning prototypes and discovery work into deployed, scaled, and integrated solutions. The role combines two core capabilities: building AI agents and applied LLM systems, and engineering computer vision pipelines that power fan-facing experiences and content operations. You will work across the full lifecycle, from architecting a solution with a client, to shipping a v1, to integrating it into the client's stack and hardening it for production. You will partner closely with AI Product Managers, data scientists, and client engineering teams. Clients include professional teams, leagues, major sports properties, and national governing bodies.

Projects may span:
AI agents, copilots, and assistants for sales, service, content, and internal workflows
Retrieval-augmented generation (RAG) and tool-using agent systems
Computer vision pipelines for fan-facing experiences (mobile, AR, in-venue activations, second-screen experiences)
Computer vision for content operations (highlight detection, automated tagging, content moderation, metadata enrichment)
Multi-modal AI systems that combine LLMs and vision models
Production deployment, MLOps, and integration into client CRM, ticketing, content, and marketing platforms
Evaluation, monitoring, and guardrail systems for agent and CV solutions

Requirements

• 3 to 5 years of experience as an ML engineer, AI engineer, or software engineer shipping production AI/ML systems
• Strong Python proficiency, with comfort in at least one of TypeScript, Node.js, or Go for production services
• Hands-on experience building and deploying AI agents, copilots, or RAG systems using modern agentic frameworks
• Hands-on experience building production computer vision systems, including model training, fine-tuning, or evaluation
• Demonstrated ability to take AI/ML work from prototype to production with appropriate monitoring and reliability practices
• Experience working with large language model APIs and at least one major model provider (Claude, OpenAI, Gemini, or similar)
• Strong communication skills and the ability to operate in client-facing technical conversations
• Comfort with system design fundamentals: APIs, authentication, retrieval, event tracking, queues, and storage

Nice To Haves

• Sports, entertainment, league, media, or content industry experience strongly preferred
• Hands-on experience with leading AI platforms such as: Claude, ChatGPT / OpenAI APIs, Google Gemini / Vertex AI, Microsoft Copilot (M365 / Copilot Studio), AWS Bedrock, Azure AI Foundry
• Experience with agentic frameworks (LangChain, LangGraph, OpenAI Agents SDK, CrewAI)
• Experience with video processing pipelines, automated highlight generation, or content moderation systems
• Experience with AR or mobile computer vision (ARKit, ARCore, WebAR, on-device inference)
• Familiarity with vector databases (Pinecone, Weaviate, pgvector) and embedding workflows
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps tooling
• Familiarity with marketing, CRM, ticketing, content management, or fan engagement platforms
• Experience with automation tools such as n8n or Zapier
• Background in responsible AI practices, model governance, and enterprise data handling

Responsibilities

• Build and ship AI agents, copilots, and RAG systems using leading frameworks (LangChain, LangGraph, OpenAI Agents SDK, Claude, and similar)
• Design tool-use patterns, function calling, and orchestration logic for multi-step agent workflows
• Develop evaluation rubrics and harnesses for agent quality, covering accuracy, latency, cost, and safety
• Optimize prompts, retrieval pipelines, and model selection for production performance
• Engineer CV pipelines that power fan-facing experiences across mobile, AR, in-venue, and digital channels
• Build content operations tooling including automated highlight detection, tagging, moderation, and metadata enrichment for video and image assets
• Train, fine-tune, and evaluate vision models (object detection, segmentation, classification, embedding, multi-modal)
• Integrate vision systems with downstream content management, marketing, and fan engagement platforms
• Deploy AI and CV systems into production environments with appropriate monitoring, logging, and observability
• Integrate solutions into client systems including CRM (Salesforce, HubSpot), ticketing, content management, and marketing automation platforms
• Optimize systems for cost, latency, throughput, and reliability
• Contribute to responsible AI, governance, privacy, and enterprise data handling practices
• Partner with AI Product Managers and consultants to translate discovery into shippable technical solutions
• Operate as a hands-on technical lead on client engagements, with occasional embedding for solution design, integration, and hardening
• Communicate technical tradeoffs to non-technical stakeholders with clarity and credibility
• Contribute reusable patterns, templates, and reference implementations that scale Next League's delivery across accounts

Benefits

• premium health coverage
• retirement programs

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed