Job Title: Senior Backend Engineer (Python)

Company Name: Kollectiv AI

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/37639i6dp61l16fe

Job Description: Posted 4mo agoSenior Backend Engineer (Python)@ Kollectiv AIView All JobsWebsiteUkraine or EuropeRemoteFull TimeResponsibilities:design APIs, build microservices, optimize performanceRequirements Summary:5+ years backend experience in Python; distributed services; databases; messaging; API design; containers; observability.Technical Tools Mentioned:Python, Docker, Kubernetes, Kafka, Prometheus, Grafana, REST, gRPC, AWS, S3, DynamoDB
As our Senior Backend Engineer, you’ll design and build the backend infrastructure that supports high-throughput, reliable, and secure AI agent workflows. You’ll work cross-functionally with ML engineers and data scientists to operationalize models at scale. Key Responsibilities Architect and implement scalable APIs, microservices, and event-driven systems to power ML pipelines and agent orchestrationDesign efficient data modeling, ETL, and persistent storage suited for high-volume, real-time agent data Optimize backend performance and ensure system stability under heavy concurrent loadCollaborate closely with founders and ML teams to deliver end-to-end agent featuresEstablish CI/CD pipelines, monitoring frameworks, and enforce backend security best practicesMentor junior engineers and contribute to team culture and best practices Requirements 5+ years designing, implementing, and maintaining backend systems in PythonExperience building distributed, scalable services with microservices or serverless architecturesStrong grasp of relational and NoSQL databases, message queues (e.g., Kafka), and ETL patterns Proven track record in API design (REST/gRPC), authentication, and reliable asynchronous processingFamiliarity with containerization (Docker, Kubernetes) and observability tools (Prometheus, Grafana) Nice to Haves Prior experience launching AI products or backend systems for ML/agent-driven applicationsKnowledge of LLM APIs, prompt pipelines, and agent orchestrationFamiliarity with cloud-native tools (AWS Lambda, S3, DynamoDB, GCP/Azure equivalents)Experience in startup or early-stage environments Why You Should Join Competitive equity & pay - get in early and own what you build.Work closely with experienced founders with a proven startup track record.Move fast, ship fast - no corporate bureaucracy.Shape the AI revolution in healthcare - massive market, untapped potentialAbout Kollectiv, IncWe’re transforming front office operations for healthcare practices through AI-first automation. Think agentic AI that streamlines insurance verification, claim management, pre-authorization, denials management, coding and reviewing notes, and every mundane, repetitive task that bogs down practice staff. Our mission? Free up healthcare professionals to focus on what matters most: their patients. Our founding team has built a couple of unicornsAndrey Akselrod - Founder/CTO at Smartling, Board Member/CTO at People.ai. Coffee & Kettlebells. Sasha Rohachova - Founder at Inkhunter (YC S18), PM at Pinterest (Led AI/ML/CV/AR innovation lab). Competitive Free-diving. We’re moving fast and need an engineer who thrives in early-stage chaos and loves shipping quickly. If you want to own technical decisions, build 0→1, and shape the future of AI in healthcare, this is your role.