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.