Senior Software Engineer, Forward Deployed

• 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

• 6+ 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 North America 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

Bonuses and equity are included in offers above entry level