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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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). xqysrnh Each step helps us understand your skills and overall fit. If it's a match, you'll receive an offer.