Asks for

The ad says“Experience building with or on top of LLMs, AI agents, or agentic pipelines—or demonstrated hands-on fluency applying AI tools to real technical problems beyond basic code completion.”
The ad says“Experience building with or on top of LLMs, AI agents, or agentic pipelines—or demonstrated hands-on fluency applying AI tools to real technical problems beyond basic code completion.”
The ad says“Working knowledge of AWS and Azure infrastructure (EC2, S3, RDS, and equivalents)—enough to configure and troubleshoot in customer environments.”
The ad says“Working knowledge of AWS and Azure infrastructure (EC2, S3, RDS, and equivalents)—enough to configure and troubleshoot in customer environments.”
The ad says“Experience with storage solutions such as Azure Blob, AWS S3, NFS, etc.”
The ad says“Working knowledge of web-based application architecture and related networking—SSL certificates, DNS, and how they interact in customer environments.”
The ad says“Experience with running containerized applications using Docker or Kubernetes.”
The ad says“Working knowledge of AWS and Azure infrastructure (EC2, S3, RDS, and equivalents)—enough to configure and troubleshoot in customer environments.”
The ad says“Familiarity with prompt engineering, tool use patterns, and evaluation of AI systems—you know when AI output is ready to use and when it needs different guardrails.”
The ad says“Experience with running containerized applications using Docker or Kubernetes.”
The ad says“Experience with Linux (RHEL, CentOS, or Ubuntu) and Windows operating systems, including running scripts and commands in a shell environment.”
The ad says“Experience building with or on top of LLMs, AI agents, or agentic pipelines—or demonstrated hands-on fluency applying AI tools to real technical problems beyond basic code completion.”
The ad says“Working knowledge of web-based application architecture and related networking—SSL certificates, DNS, and how they interact in customer environments.”
The ad says“Experience with storage solutions such as Azure Blob, AWS S3, NFS, etc.”
The ad says“Familiarity with prompt engineering, tool use patterns, and evaluation of AI systems—you know when AI output is ready to use and when it needs different guardrails.”
The ad says“Working knowledge of AWS and Azure infrastructure (EC2, S3, RDS, and equivalents)—enough to configure and troubleshoot in customer environments.”
The ad says“Working knowledge of AWS and Azure infrastructure (EC2, S3, RDS, and equivalents)—enough to configure and troubleshoot in customer environments.”
The ad says“Experience with Linux (RHEL, CentOS, or Ubuntu) and Windows operating systems, including running scripts and commands in a shell environment.”
The ad says“Working knowledge of web-based application architecture and related networking—SSL certificates, DNS, and how they interact in customer environments.”
The ad says“Familiarity with prompt engineering, tool use patterns, and evaluation of AI systems—you know when AI output is ready to use and when it needs different guardrails.”
The ad says“Working knowledge of web-based application architecture and related networking—SSL certificates, DNS, and how they interact in customer environments.”
The ad says“Experience with Linux (RHEL, CentOS, or Ubuntu) and Windows operating systems, including running scripts and commands in a shell environment.”

Proscia is revolutionizing pathology, the last major frontier in healthcare to embrace digital. As a leader in pathology AI software, we are empowering pathologists and scientists to transition from traditional microscope-based workflows to digital, AI-driven approaches, unlocking new possibilities in precision medicine.

The digital pathology market is experiencing explosive growth as advances in AI enable unprecedented insights into diseases like cancer. Pathology is central to medicine, and the shift to AI-powered solutions is not just modernizing workflows—it’s transforming how diseases are diagnosed, treated, and understood. Predictions for the future of pathology show a tidal wave of adoption, with experts describing the field as “poised for the next major breakthrough” in healthcare innovation.

Backed by over $100 million in funding from leading healthcare and technology investors, Proscia is at the forefront of this revolution. Joining Proscia means being part of a company at the cutting edge of healthcare innovation, where the possibilities are limitless. With the convergence of AI, precision medicine, and digital pathology, we’re not just changing pathology—we’re redefining what’s possible in medicine.

About the Role

As an Implementation Engineer, you’ll lead the technical delivery of Proscia’s platform to customers across on-premise, SaaS, and cloud environments—handling installation, migration, and advisory services from kickoff to go-live. You’ll work across teams (Professional Services, Sales, Product, Engineering) and directly with customers throughout EMEA. AI tools are a natural part of how you navigate unfamiliar integration landscapes, validate your work, and solve problems that don’t come with a playbook. This role is for a technologist obsessed with positive customer outcomes.

Key Responsibilities

Own the end-to-end technical delivery of customer deployments—from planning through installation, integration, and validation—using AI to accelerate your work through unfamiliar territory and to catch issues before the customer does.
Partner with Solution Architects to translate architecture and design into validated technical configurations—prototyping and testing with AI and other tools to ensure accuracy before deployment.
Drive implementations to customer acceptance—owning quality, managing expectations, and ensuring the delivered solution meets the standard both you and the customer expect.
Configuring our customer’s technical specifications, integration requirements, and interface preferences during customer implementations.
Resolve technical issues during installation—you’re resourceful, whether that means deep-diving into logs, reaching for AI to accelerate your analysis, or bridging context between teams.
Collaborating with product and engineering teams to provide further support and advance feature requests.
Reviewing customer feedback, compiling and analyzing data, and recommending technical changes as appropriate.
Help build and maintain internal deployment standards and documentation that work for both humans and AI-augmented workflows—because the quality of what AI can do for the next deployment starts with the quality of context from the last one.

About You

You think in systems—you reason about how infrastructure, applications, and customer workflows interact.. AI tools are part of how you work every day: navigating unfamiliar integration landscapes, validating configurations, solving problems that don’t come with clear documentation. You know when to trust AI output and when it needs different guardrails. You own your deliverables and care deeply about getting things right for the customer.

Technical Requirements:

Experience with Linux (RHEL, CentOS, or Ubuntu) and Windows operating systems, including running scripts and commands in a shell environment.
Working knowledge of web-based application architecture and related networking—SSL certificates, DNS, and how they interact in customer environments.
Working knowledge of AWS and Azure infrastructure (EC2, S3, RDS, and equivalents)—enough to configure and troubleshoot in customer environments.
Experience with storage solutions such as Azure Blob, AWS S3, NFS, etc.
Experience with running containerized applications using Docker or Kubernetes.

Additional Requirements:

At least 5+ years of experience in enterprise IT solutions.
A technical leader who is constantly looking for ways to improve
Strong communicator comfortable speaking with our customers
Strong business acumen with an ability to identify and articulate key value to customers
Comfortable presenting to a range of stakeholders from engineers and architects to IT managers and CIOs.
Ability to run several projects in parallel and with a passion to work in a scale-up environment
You already use AI tools in your technical work—for troubleshooting, navigating unfamiliar systems, validating configurations, or however it fits your practice. This isn’t a future aspiration; it’s how we expect our implementation engineers to operate.
Experience building with or on top of LLMs, AI agents, or agentic pipelines—or demonstrated hands-on fluency applying AI tools to real technical problems beyond basic code completion.
Familiarity with prompt engineering, tool use patterns, and evaluation of AI systems—you know when AI output is ready to use and when it needs different guardrails.
Fluent in English

Nice-to-Haves

Experience in healthcare, regulated industries, or mission-critical systems where failure has real consequences.
Background that spans multiple domains or disciplines—you’ve reinvented yourself before.
Open-source contributions, side projects, or a portfolio that shows how you think and build.
Active in technical communities, forums, or meetups—you stay close to where the field is moving.
Additional European languages beyond English.

Beyond Just Work

Being a Proscian means believing in a mission, overcoming challenges in the journey together, and sharing in what success brings. We believe that every major growth period creates an exceptional career runway. We’re here to change the world together and empower each other to become our best selves in the process.

As a company in the healthcare field, we want our people to be happy and healthy, in and out of the office. In addition to competitive pay, we ensure everyone on our team is supported with savings, schedule, and insurance options that promote long-term health and personal growth.

At Proscia, we value difference, celebrate growth, and support our team’s personal and professional success. Join us in changing the world and advancing humankind.