Software Engineer

About the role

Russell Tobin is seeking a software engineer to join a team focused on building and scaling multi-agent AI systems. You will work on high-volume data pipelines and infrastructure to support advanced geospatial imagery processing.

Key facts

What you'll do

• Build and deploy production-ready multi-agent AI systems and orchestration frameworks.
• Design and maintain large-scale ETL pipelines using Kubernetes and container orchestration for imagery data.
• Develop database scaling strategies for distributed SQL systems managing geospatial and aerial datasets.
• Implement schema validation for metadata using Pydantic or Protocol Buffers.
• Create automated QA and validation pipelines using LLMs to track precision, recall, and F1 metrics.
• Set up observability and tracing for LLM agent performance, latency, and operational costs.
• Integrate Human-in-the-Loop workflows and continuous evaluation frameworks.

Requirements

• Master degree in Computer Science or a related technical field, or equivalent professional experience.
• Experience in software development using Python, C, C++, Java, or JavaScript.
• Proficiency with data structures, algorithms, and core machine learning concepts.
• Professional background in building asynchronous data pipelines with tools like Kubernetes, Docker, Celery, Airflow, or Kafka.
• Experience with enterprise cloud platforms such as AWS, GCP, or Azure.
• Ability to set up golden datasets and execute rapid AI experiments.
• Experience deploying production AI agents using Agent Development Kits or AI SDKs.

Nice to have

• Expertise in generative AI, LLMs, advanced prompting, and model fine-tuning.
• Experience with multi-agent orchestration frameworks like LangGraph, CrewAI, AutoGen, or LlamaIndex.
• Knowledge of tool-calling protocols including Model Context Protocol and function-calling schemas.
• Experience with vector databases and RAG architectures at scale.
• Understanding of distributed systems and performance tuning in high-volume environments.

Skills & tools

• Python, C, C++, Java, JavaScript
• Kubernetes, Docker, Celery, Airflow, Kafka
• AWS, GCP, Azure
• Pydantic, Protocol Buffers
• LangSmith (or equivalent observability tools)
• Distributed SQL databases

Practical notes

Eligible employees receive medical, dental, and vision insurance, 401(k) plans, life and disability insurance, and supplemental coverage options including accident and critical illness insurance. The package also includes an employee assistance program, legal support, and various insurance discounts.