10x ML Backend Engineer

Job Description:

We are seeking a 10x ML Backend Engineer (3–6 years) who leverages AI tools to accelerate development and specializes in building next-generation AI systems at Markopolo.ai. You'll architect and own our GraphRAG infrastructure, vector databases, memory workflows, and MLOps pipeline from concept to production.

This role is for engineers who think in systems, ship fast using AI augmentation, and take full product ownership of complex ML infrastructure.

Key Responsibilities:

1. AI-Augmented Product Development & Ownership

• Own end-to-end product delivery of our Autonomous Commerce Engine's AI backend systems
• Leverage AI coding assistants, LLMs, and automation tools to 10x development velocity
• Build and maintain our GraphRAG architecture for intelligent customer data relationships and pattern discovery
• Design and implement vector database systems (Pinecone, Weaviate, Qdrant) for semantic search and retrieval

2. Advanced ML Systems Architecture

• Architect and build memory workflow systems that enable our AI agents to learn and retain context across customer interactions
• Implement multi-agent AI orchestration systems with persistent memory and cross-agent communication
• Build real-time inference pipelines for LLM integration with custom fine-tuned models
• Design knowledge graph processing systems that discover non-obvious customer behavior patterns

3. MLOps & Model Lifecycle Management

• Own the complete MLOps pipeline - from model development to production deployment and monitoring
• Implement model versioning, A/B testing, and automated retraining workflows
• Build hybrid retrieval systems combining semantic search with traditional databases
• Create model performance monitoring and automated degradation detection systems

4. High-Performance AI Infrastructure

• Optimize vector similarity search at scale (millions of embeddings) with sub-100ms latency
• Implement streaming data pipelines for real-time customer behavior ingestion and processing
• Build distributed computing systems for batch processing of large-scale customer datasets
• Design caching strategies for expensive LLM calls and vector computations

5. Product Innovation & System Reliability

• Research and prototype cutting-edge AI/ML techniques for customer intelligence and automation
• Maintain 99.9% uptime for mission-critical AI services handling customer revenue generation
• Implement comprehensive observability and monitoring for complex AI system debugging
• Drive technical product decisions based on customer impact and system performance metrics

Required Skills and Experience:

Core Technical Skills:

• 3-6 years building production ML/AI systems with demonstrated 10x engineering mindset
• Expert-level Python with deep knowledge of ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Proven experience with GraphRAG implementations and knowledge graph technologies (Neo4j, NetworkX)
• Production experience with vector databases and similarity search optimization
• Advanced SQL and NoSQL database design and optimization

AI/ML Specialization:

• Hands-on experience building memory-augmented AI systems and workflow orchestration
• MLOps expertise: model deployment, monitoring, versioning, and automated retraining
• LLM integration experience with custom fine-tuning, prompt engineering, and inference optimization
• Distributed systems knowledge for scaling ML workloads

10x Engineering Practices:

• AI-augmented development using Copilot, Cursor, Claude, ChatGPT for rapid prototyping and development
• Infrastructure as Code mindset with Docker, Kubernetes, and cloud-native deployments
• Product ownership experience - taking features from concept to customer value
• Performance optimization obsession with measurable impact on system metrics

Preferred Qualifications:

• Research background in Graph Neural Networks, Retrieval-Augmented Generation, or Multi-Agent Systems
• Experience with streaming architectures (Kafka, Redis Streams) for real-time AI processing
• Open source contributions to ML/AI projects or vector database ecosystems
• Customer-facing AI product development experience with revenue impact
• Knowledge of advanced embedding techniques and custom model training
• Experience with AI observability tools (Weights & Biases, MLflow, Neptune)

What We Offer:

• Salary range: Up to USD 2,000 (for exceptional 10x engineers)
• Equity package with significant upside potential  (for exceptional 10x engineers)
• 2 yearly bonuses + 1 performance bonus based on product impact
• Unlimited learning budget for AI/ML courses, conferences, and tools
• Cutting-edge hardware and access to premium AI development tools
• Product ownership with direct customer impact and revenue visibility
• Research time (20%) for exploring emerging AI/ML technologies

Success Metrics for This Role:

• Reduce AI inference latency by 60% through system optimizations
• Increase model accuracy by 25% through GraphRAG and memory system improvements
• Ship 3+ major AI features per quarter with measurable customer impact
• Maintain 99.9% uptime for all AI services while scaling 10x traffic

How to Apply:

Submit your application including:

1. Resume highlighting your ML systems and 10x engineering experience
2. Cover letter describing a complex AI system you've built and owned end-to-end
3. GitHub profile or portfolio showcasing your AI/ML projects
4. Brief description of how you use AI tools to accelerate your development workflow

Send to hr@markopolo.ai with subject line: "10x ML Backend Engineer Application"

Join us in building the autonomous future of commerce with cutting-edge AI technology!