Senior Software Engineer, Forward Deployed

Invisible Technologies • New York, NY

4h • Hybrid

About The Position

As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products — all while interfacing with technical and non-technical stakeholders.
This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.
You will need to be based in the Greater NYC area and be willing to work from the Manhattan office 3-4 days a week.

Requirements

• 7+ 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 distributed systems skills — 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
• Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level