Senior Software Engineer (Forward Deployed)

What You’ll Do
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

What We Need
6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
Data Management: 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 potentially 25% of the time, primarily across North America with occasional international roll-outs—to work directly on-site with clients as needed
Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience

What’s In It For You
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

For this position, the US annual salary range is $180,000 - $250,000.