AI Software Engineer (Full Stack) ID51390

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. **WHY JOIN US** If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! **ABOUT THE ROLE** **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. **WHAT YOU WILL DO** \- Architect and develop robust, scalable **AI\-powered features** across frontend and backend; \- Design and implement **end\-to\-end AI solutions** , from data ingestion to model integration and user\-facing interfaces; \- Rapidly gather business and technical requirements and translate them into **functional AI demos** within 1–2 weeks; \- Integrate LLMs and AI services (e.g., APIs, vector databases, RAG pipelines) into production\-ready applications; \- Work deeply in the existing web app codebase, enhancing core modules and integrating AI capabilities; \- Architect high\-throughput, low\-latency systems that scale reliably; \- **Collaborate closely** with Product, Design, and Engineering; \- Maintain high standards for documentation, testing, observability, and code quality; \- Lead technical initiatives to **automate manual workflows** using AI and improve system reliability. **MUST HAVES** \- **5\+ years of full\-stack development experience** ; \- **Experience in Rust or Golang** ; \- **2\+ years of AI/ML engineering experience** building or integrating AI\-driven systems; \- **AI\-assisted code experience** with tools such as GH Copilot, Cursor, or Windsurf; \- Proven ability to gather ambiguous requirements and independently develop AI prototypes/demos within short timelines (1–2 weeks); \- Strong experience working with **LLM APIs** , prompt engineering, embeddings, and vector databases; \- Experience designing scalable AI architectures (RAG, agents, model orchestration, evaluation pipelines); \- Proven ability to navigate and improve large, production\-scale codebases; \- Strong understanding of performance optimization, system design, and low\-latency architectures; \- Excellent communication and documentation skills in a fast\-moving team environment; \- Demonstrated experience deploying AI features into production environments; \- Upper\-intermediate English level. **NICE TO HAVES** \- 2\+ years of team lead/management experience; \- Strong skills in Python; \- Experience with CI/CD pipelines; \- Experience with cloud platforms and AI tools such as Vertex on GCP, SageMaker, Bedrock from AWS, and similar ones; \- Experience with AI frameworks/SDKs (LangChain, LlamaIndex, Hugging Face, etc.); \- Experience building AI agents or multi\-agent systems; \- Start\-up mindset: comfortable experimenting, iterating quickly, and tackling ambiguous challenges. **PERKS AND BENEFITS** \- **Professional growth:** Mentorship, TechTalks, and personalized growth roadmaps. \- **Competitive compensation:** USD\-based pay with education, fitness, and team activity budgets. \- **Exciting projects:** Modern solutions with Fortune 500 and top product companies. \- **Flextime:** Flexible schedule with remote and office options. **Meet Our Recruitment Process** It includes main stages: Application → Coding Challenge → Video Interview → Technical Interview or Interview with the Hiring Manager(s). Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer.