PG
Proway GmbHSoftware Developer, Automated Test Systems
Software Developer for automatic test systems supporting clients in various industries. Involves software development, technical specifications, and collaboration in a hybrid model.
About the role
- Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
- Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
- Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
- Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
- Build shared infrastructure, reusable components, and internal playbooks to level-up the team
- Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible
Requirements
- 12+ years of software engineering experience, including significant time spent building data, ML, or backend systems
- Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
- Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
- Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
- Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
- Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
- Experience building usable systems from messy data and ambiguous requirements
- Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
- Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
- Be willing to be on-call for our customers when situations arise
- Ability to travel roughly 10–30% of the time, sometimes short-notice trips—primarily across Europe with occasional roll-outs outside of Europe —to work directly on-site with clients
- Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience.
Benefits
- Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings.
- Salary structure accounts for regional differences in cost of living while maintaining internal equity.
- Bonuses and equity are included in offers above entry level.
- Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions.
- Reasonable accommodations for individuals with disabilities are provided.
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