Senior Backend Engineer (Python)
- Compensation
- Not disclosed
- Location
- UKR
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Backend
- Posted
Skills
Must have
- 5+ years designing, implementing, and maintaining backend systems in Python
- Experience building distributed, scalable services with microservices or serverless architectures
- Strong 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 processing
- Familiarity with containerization (Docker, Kubernetes) and observability tools (Prometheus, Grafana)
Nice to have
- Prior experience launching AI products or backend systems for ML/agent-driven applications
- Knowledge of LLM APIs, prompt pipelines, and agent orchestration
- Familiarity 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 potential
- About Kollectiv, Inc
- We’re transforming front office operations for healthcare practices through AI-first automation. Think agentic AI that streamlines insurance verification, claim management, pre-authorization, denials
- Our founding team has built a couple of unicorns
- Andrey 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
Full description
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 orchestration
Design 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 load
Collaborate closely with founders and ML teams to deliver end-to-end agent features
Establish CI/CD pipelines, monitoring frameworks, and enforce backend security best practices
Mentor junior engineers and contribute to team culture and best practices
Requirements
5+ years designing, implementing, and maintaining backend systems in Python
Experience building distributed, scalable services with microservices or serverless architectures
Strong 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 processing
Familiarity with containerization (Docker, Kubernetes) and observability tools (Prometheus, Grafana)
Nice to Haves
Prior experience launching AI products or backend systems for ML/agent-driven applications
Knowledge of LLM APIs, prompt pipelines, and agent orchestration
Familiarity 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 potential
About Kollectiv, Inc
We’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.