About Avandra Imaging

Avandra Imaging's mission is to organize the world's medical images in order to accelerate innovation and unlock patient access to the best care in the world. Avandra is poised to revolutionize healthcare research and innovation by creating the largest indexed data cloud of medical imaging. This platform will unlock unprecedented access to real-world imaging data, essential for biopharma research, medical device innovation, AI model training, and improved patient care. Leveraging its strategic acquisitions, Avandra aims to aggregate and de-identify vast amounts of imaging data, providing frictionless access to this invaluable resource. Avandra has a national footprint of over 5,000 customer integrations and a market share of approximately 70% -- this robust infrastructure supports our core business, ensuring continued growth and cash flow to fuel our innovative data cloud platform.   

Under the leadership of Founder and CEO Ryan Tarzy, Avandra's experienced team is well-equipped to capitalize on this opportunity. Avandra’s business model centers on generating recurring subscription revenue from its cloud platform, offering indexed, cleansed, and enhanced imaging data to health systems, AI companies, and biopharma firms. The go-to-market strategy focuses initially on data marketplaces to drive near-term sales, with plans to expand direct sales efforts targeting AI/ML companies, medical device firms, and biopharma companies. This strategic approach positions Avandra as a leading player in the competitive landscape, with the potential for substantial growth and international expansion in the coming years.

About the Job

As a Part-Time System Engineer at Avandra Imaging, you will be an early-career technical generalist supporting the stability, reliability, and performance of our systems. This role bridges frontline technical support, quality assurance, and systems automation, enabling Engineering teams to move quickly and confidently.

This is a hands-on, growth-oriented role designed for candidates early in their technical careers who are eager to build strong foundations in systems engineering, automation, and troubleshooting in a real-world production environment.

What You’ll Do:

Technical Support & Systems Troubleshooting

• Diagnose and resolve software, system, and infrastructure issues across Avandra’s products and internal tooling
• Act as a technical point of contact for escalated or ambiguous issues impacting reliability, performance, or accessibility
• Support deployment, configuration, and maintenance of software, hardware, and internal systems

Quality Assurance

• Contribute to the quality and reliability of Avandra’s software through structured QA processes
• Write and maintain automated test suites (integration, regression, smoke tests)
• Participate in release testing and validation efforts
• Ensure appropriate test coverage for new features and critical infrastructure

System Automation

• Write scripts and tools for deployment, monitoring, and troubleshooting
• Support infrastructure provisioning and configuration using automation tools (e.g., Terraform, Ansible)
• Improve system observability through logging, alerting, and dashboards
• Identify repetitive tasks and build automated solutions to reduce manual effort

What You’ll Need:

• Experience in a technical role (support, QA, IT operations, help desk) or relevant academic, bootcamp, or project experience
• Basic proficiency with Linux/Unix or macOS command-line environments
• Familiarity with at least one scripting language (Python, Bash, JavaScript, Go, etc.)
• Understanding of APIs, client/server concepts, and modern web applications
• Ability to read and interpret logs, error messages, and system metrics at a foundational level
• Basic experience with databases (queries, connections, or schema concepts)

What You’ll Bring to the Table:

• Problem-Solving Mindset: Ability to break down ambiguous technical problems into clear, actionable steps
• Curiosity & Learning Agility: Strong desire to learn new systems, tools, and technologies quickly
• Automation Orientation: Interest in reducing manual work through scripting, tooling, and process improvement
• Collaboration & Communication: Ability to work cross-functionally with Engineering, Product, and Support teams
• Ownership & Initiative: Willingness to take responsibility, ask questions, and escalate issues appropriately

Benefits & Perks:

• Impact: Work on systems that support one of the largest medical imaging data platforms in the world
• Growth: Structured exposure to systems engineering, QA, automation, and cloud infrastructure
• Culture: Collaborative, engineering-driven environment focused on learning and continuous improvement
• Equity: Opportunity to participate in a high-growth, equity-driven company

Hourly Rate / Compensation:

• $20.00 per hour

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

SENIOR AI ENGINEER

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

What experience should you have:

• 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
• Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
• Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
• Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
• Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
• Experience in Typescript development for prototyping and integrations
• Proficiency with git workflows and understanding of standard application development processes

Preferred Qualifications

• Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
• Experience optimizing inference costs and latency for large-scale deployments.
• Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
• Any Google Cloud Professional Certification

What you’ll be doing in this role:

• Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
• Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
• Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
• Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
• Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
• Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
• Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
• Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.

What you’ll need to accomplish in your first year:

• Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
• Mentor engineers on best practices for building deterministic software around probabilistic AI models.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

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WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

SENIOR DATA ENGINEER

We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone for our clients, designing and deploying the sophisticated data architectures required to support production-grade Artificial Intelligence and Machine Learning applications. This is a high-impact role where you will set the standards for data quality, modeling, and orchestration across the organization. You will navigate diverse technical environments, and your work will directly enable the transition from experimental AI prototypes to resilient, enterprise-scale systems that deliver measurable business value.

What experience should you have:

• 6+ years of data engineering experience with a focus on modern cloud platforms.
• Expert-level proficiency in Python and SQL is mandatory.
• Strong software engineering background with proficiency in Python for building custom integrations and data tools.
• Deep production experience with dbt for data modeling and Airflow for orchestration.
• Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure.
• Proficiency in managing environment reproducibility using Terraform and Docker, ensuring pipelines are CI/CD compliant.
• Expert knowledge of cloud data warehouses (BigQuery or Snowflake) and their internal architecture.
• Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub.

Preferred Qualifications

• Experience architecting feature stores or data pipelines specifically for ML workloads.
• The ability to navigate diverse technical environments and corporate cultures while maintaining a high standard of delivery and client satisfaction.
• A commitment to software engineering best practices, including version control, unit testing, and comprehensive documentation.
• An analytical thinker who anticipates scaling bottlenecks and security vulnerabilities before they impact production.

What you’ll be doing in this role:

• Architect and build scalable, high-volume ELT/ETL pipelines that ingest complex data sets from diverse client systems, including legacy on-premise databases, ERPs, and third-party APIs, into centralized cloud warehouses.
• Lead the audit and optimization of existing data workflows, refactoring inefficient queries and data models to significantly reduce latency and operational costs for enterprise-scale environments.
• Design and implement comprehensive data quality frameworks, ensuring automated testing and validation logic catches anomalies before they reach production models or executive dashboards.
• Design and implement data pipelines specifically for AI workloads, including the management of vector databases to support Retrieval-Augmented Generation (RAG) and model inference.

What you'll need to accomplish in your first year:

• Own the roadmap for data platform stability and scalability enhancements, ensuring the infrastructure can support the evolving needs of both corporate IT and AI research teams.
• Provide technical mentorship to the engineering team, conducting rigorous code reviews and driving improvements in coding standards, documentation, and system reliability.
• Standardize the organization’s approach to the Modern Data Stack (MDS), driving the adoption of best practices in dbt, Airflow (Cloud Composer), and Beam (Dataflow) across diverse client engagements.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid