Principal Software Engineer, Forward Deployed

October 16

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Invisible Technologies Inc.

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Artificial Intelligence • SaaS • Enterprise

Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Collaborate with delivery leaders to scope technical solutions to operational problems • Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution • Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools • Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions • Iterate quickly based on real-time feedback from operators and clients • Build reusable tooling and infrastructure that accelerates future deployments

🎯 Requirements

• 10+ 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 25–50% of the time, sometimes short-notice trips—primarily across Europe with occasional international roll-outs—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

• 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