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About the Role

As a Senior Software Engineer, Forward Deployed Engineer (FDE), you will collaborate directly with clients and internal delivery teams to build and deploy AI-powered solutions. You will own projects end-to-end, including scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems. This hybrid role combines AI engineering, software development, and technical consulting, offering hands-on experience with models and their impact.

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 into elegant engineering solutions
Iterate quickly based on real-time feedback from operators and clients
Build reusable tooling and infrastructure that accelerates future deployments
Be on-call for customers when situations arise

Requirements

6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Strong product and system design instincts
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
Ability to travel potentially 25% of the time, primarily across North America with occasional international roll-outs
Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience

Skills

Python
ML/LLM Frameworks (Hugging Face, LangChain, OpenAI, Pinecone)
Full-stack and API-based deployment patterns
Docker
FastAPI
Kubernetes
Cloud environments (GCP, AWS)
Workflow orchestration libraries
Pub/sub systems (Kafka)
Schema governance
Data governance and operations
Unity Catalog
Policy management
Cluster/job orchestration
Data contracts and quality enforcement
Delta/ETL pipelines
Replay processes

Location

Hybrid

Work Type

Hybrid
Full-time

Experience Level

Senior

Education Level

Bachelor's degree in Data Science, Computer Science, or related fields OR equivalent professional experience

Salary/Compensations

$180,000 - $250,000 (US)

Benefits

Bonus
Equity

About the Company

Invisible Technologies makes AI work by providing an end-to-end AI platform that structures data, automates workflows, deploys agentic solutions, measures outcomes, and integrates human expertise.
The platform cleans, labels, and structures company data for AI, adapting models to specific businesses and incorporating human expertise.
Invisible has improved models for over 80% of the world's top AI companies, including Microsoft, AWS, and Cohere.
Successes include supply chain automation for Swiss Gear, AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
The company has been profitable for over five years, achieved $134M in revenue, and ranked as the second fastest-growing AI company on the 2024 Inc. 5000.
In September 2025, Invisible raised $100M in growth capital to accelerate its mission of making AI work in the enterprise and advance its platform technology.
Invisible is redefining work at the intersection of advanced AI and human ingenuity, focusing on ownership, innovation, and shaping the future with clients.
The company culture is fast-paced, challenging, and suitable for those driven to create, thrive in dynamic environments, and be part of the AI revolution.

Equal Opportunity

Invisible is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.
Invisible may use automated decision-maker technologies to filter candidates based on responses to application questions and provided information to ensure efficiency and a manageable list of candidates meeting mandatory hiring criteria. Candidates who object to this practice should contact Invisible.