# Senior Software Engineer (Forward Deployed) at Invisible Tech > Hybrid · United States · Senior · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Ainvisibletech%3A4697590101 (read 2026-11-06). ## Facts (observed) - Company: [Invisible Tech](https://alderhq.app/companies/invisible-tech) - Location text: New York - Hybrid; San Francisco Bay Area - Hybrid; London; New York; San Francisco - Where it can be done from (inferred): Hybrid · United States (evidence: "Location: New York - Hybrid; San Francisco Bay Area - Hybrid; London; New York; San Franci") - Posted: 2025-10-22 (380 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.eu.greenhouse.io/invisibletech/jobs/4697590101 - Skills listed (inferred): Python, FastAPI, Kafka, AWS, GCP, Kubernetes, Docker, LLMs, Distributed systems ## Pay and sponsorship - Posted pay: $180k–$264k per year (from the description) - Market band for similar posted roles (New York, n 246): p25 $172k, median $195k, p75 $222k ## Description (the employer's text) ### About Invisible Invisible is an Applied AI research company closing the gap between frontier models and the enterprise. We provide the platform infrastructure that makes AI work in production at scale: unify fragmented data, map complex processes, orchestrate and evaluate agents, and stand up hyper-personalized workflow applications fast for companies like Grubhub, Alliance Global, and Thomson Reuters. Where models fall short, we build RL environments and data to fix them. The result: a virtuous cycle between enterprise deployment and model training. Recognized as Best Predictive Analytics Platform of the Year at the 2026 AI Breakthrough Awards, Invisible makes AI work. ### About The Role 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. ### 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 - Travel: Willingness to travel for on-site client engagements as needed - Onsite: Available to work from the office a few days per week, depending on team needs — some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with ### 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. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD Bonus and equity is included in all full-time, non commission offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ainvisibletech%3A4697590101 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.