AI Software Engineer (Full Stack) ID51390
Role details
Job location
Tech stack
Job description
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., 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.
Requirements
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!, 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.
Benefits & conditions
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.
