We’re building AI-driven SaaS platforms that automate and optimize business workflows for SMBs using LLMs, AI agents, and intelligent pipelines.
You’ll work in startup mode, balancing R&D (rapid AI prototyping) and production (scalable, fault-tolerant backend systems).
Your Role
You will own backend services that power AI workflows, agent orchestration, and data pipelines — from experimentation to production scale.
You’ll collaborate closely with AI engineers and product teams to turn models into reliable, monetizable features. YOUR STACK: * Design and build Python backend services for AI-driven products- Build async, scalable APIs for AI inference and orchestration- Move AI prototypes into production-grade systems. * Ensure observability, performance, and cost efficiency of AI workloads. * Design data pipelines for embeddings, vector search, and context retrieval. * Implement LLM-powered features (agents, tools, workflows, RAG).
Architecture * Service-oriented / microservice design * Event-driven systems (queues, pub/sub) * Cost-aware AI architecture (batching, caching, retries)
NICE-TO-HAVE: * AWS (ECS / EKS / Lambda / RDS / S3)- Experience with high-load or SaaS production systems- Experience deploying or hosting models (vLLM, HuggingFace, inference APIs) * Knowledge of AI observability (tracing, token usage, latency, failure modes) * Docker, CI/CD, infrastructure-as-code
RESPONSIBILITIES: * Design and build Python backend services for AI-driven products- Build async, scalable APIs for AI inference and orchestration- Move AI prototypes into production-grade systems. * Ensure observability, performance, and cost efficiency of AI workloads. * Design data pipelines for embeddings, vector search, and context retrieval. * Implement LLM-powered features (agents, tools, workflows, RAG).
OFFER: * Remote work; * Open management without bureaucracy; * Salary reviews according to the results of performance appraisal; * 10 days paid sick leave and 18 working days’ vacation; * Days off on National/Bank Holidays according to the legislation of Ukraine; * Real AI in production — not just demos; * Strong R&D culture with ownership; * Opportunity to shape AI backend architecture from day one; * Flexible remote work; * Direct impact & fast feedback loops.
