AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
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Desplácese hacia abajo para obtener una visión general completa de lo que requerirá este trabajo. ¿Es usted el candidato adecuado para esta oportunidad?
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WHY JOIN US
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If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
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ABOUT THE ROLE
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We are looking for a Senior/Lead AI Software Engineer (Full Stack) to build and scale intelligent, AI-driven products from concept to production in rapid iteration cycles. This role is pivotal in architecting end-to-end AI solutions—leveraging LLMs, RAG pipelines, vector databases, and Rust or Golang—to power high-performance, low-latency applications. You’ll shape scalable AI architectures, automate workflows, and drive innovation in a fast-growing environment that values ownership, speed, and technical excellence.
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WHAT YOU WILL DO
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Architect and develop robust, scalable
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AI-powered features across frontend and backend;
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Design and implement end-to-end AI solutions, from data ingestion to model integration and user-facing interfaces;
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Rapidly gather business and technical requirements and translate them into functional AI demos within 1–2 weeks;
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Integrate LLMs and AI services (e.g., APIs, vector databases, RAG pipelines) into production-ready applications;
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Work deeply in the existing web app codebase, enhancing core modules and integrating AI capabilities;
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Architect high-throughput, low-latency systems that scale reliably;
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Collaborate closely with Product, Design, and Engineering;
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Maintain high standards for documentation, testing, observability, and code quality;
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Lead technical initiatives to automate manual workflows using AI and improve system reliability.
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MUST HAVES
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5+ years of full-stack development experience
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Experience in Rust or Golang
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2+ years of AI/ML engineering experience building or integrating AI-driven systems
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AI-assisted code experience with tools such as GH Copilot, Cursor, or Windsurf
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Proven ability to gather ambiguous requirements and independently develop AI prototypes/demos within short timelines (1–2 weeks)
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Strong experience working with
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LLM APIs, prompt engineering, embeddings, and vector databases
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Experience designing scalable AI architectures (RAG, agents, model orchestration, evaluation pipelines)
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Proven ability to navigate and improve large, production-scale codebases
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Strong understanding of performance optimization, system design, and low-latency architectures
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Excellent communication and documentation skills in a fast-moving team environment
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Demonstrated experience deploying AI features into production environments
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Upper-intermediate English level
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NICE TO HAVES
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2+ years of team lead/management experience
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Strong skills in Python
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Experience with CI/CD pipelines
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Experience with cloud platforms and AI tools such as Vertex on GCP, SageMaker, Bedrock from AWS, and similar ones
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Experience with AI frameworks/SDKs (LangChain, LlamaIndex, Hugging Face, etc.)
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Experience building AI agents or multi-agent systems
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Start-up mindset: comfortable experimenting, iterating quickly, and tackling ambiguous challenges
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PERKS AND BENEFITS
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Professional growth
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Mentorship, TechTalks, and personalized growth roadmaps.
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Competitive compensation
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USD-based pay with education, fitness, and team activity budgets.
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Exciting projects
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Modern solutions with Fortune 500 and top product companies.
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Flextime
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Versátil schedule with remote and office options.
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Meet Our Recruitment Process
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It includes main stages: Application → Coding Challenge → Video Interview → Technical Interview or Interview with the Hiring Manager(s). xugodme Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer.