Forward Deployed Engineer
Unitary
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
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Tech Stack
About the role
- Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes.
- Contribute to the development of our Virtual Agent development platform that scales with our product strategy.
- Ensure our AI services maintain high standards of reliability, observability, availability, and performance.
- Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future.
- Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers.
- Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value.
Requirements
- Strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems
- Can (or want to learn to) develop agentic AI systems that can automate human processes
- Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently
- Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions
- Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input
- Can travel to our company-wide offsites three times per year
- Experience working in a fully remote, international team (it would be even better, but not essential)
- Previous startup experience (it would be even better, but not essential)
- A background in building and operating agentic AI systems (it would be even better, but not essential)
- Experience with MLOps practices and tools, and monitoring machine learning systems in production (it would be even better, but not essential)
- Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD (it would be even better, but not essential)
- Proficiency with SQL and NoSQL databases (it would be even better, but not essential)
- Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform (it would be even better, but not essential)
- Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements (it would be even better, but not essential)
Benefits
- Flexible hours and location
- Competitive salary and equity package
- Occupational pension
- Generous paid parental leave
- Generous paid sick leave
- Annual budget for your professional development and growth
- Annual budget for your individual health and wellness
- Three team off-sites to London or other exciting destinations in Europe
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonMachine Learning EngineeringAIKubernetesMLOpsCI/CDSQLNoSQLInfrastructure as CodeLarge Language Models
Soft Skills
problem solvingproject managementcollaborationcustomer focusautonomy