Invisible
Technology
SoftwareEngineer,ForwardDeployed
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer, Forward Deployed at Invisible. Skills: AI-powered solutions, LLMs, Embedding models, Retrieval systems. Collaborate with delivery leaders. Scope technical solutions”
Industry & Context.
Scoping ambiguous problems; Translate messy real-world constraints
Willing to be on-call, Travel 15-50%, Short-notice trips
What They're Looking For.
Must Have
2+ years of professional experience, Python skills, Solid understanding of data pipelines, Solid understanding of APIs, Solid understanding of production deployment, Experience building usable systems, Communication skills
Nice to Have
Familiarity with PyTorch, Familiarity with Hugging Face, Familiarity with LangChain, Familiarity with OpenAI APIs
What You'll Do.
Collaborate with delivery leaders
Scope technical solutions
Identify workflow optimizations
Build stable solutions
Build scalable solutions
Design AI-powered workflows
Implement AI-powered workflows
Translate constraints into solutions
Iterate based on feedback
Build reusable tooling
How You'll Work.
Team & Collaboration
Internal delivery teams; Technical stakeholders; Non-technical stakeholders; Delivery teams; Client stakeholders
Communication Scope
Explain technical decisions
Full Job Description
About The Role As a 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. **Please note - We are always looking to connect with talented individuals for this role. This posting is part of our ongoing effort to build a strong pipeline of candidates and may not correspond to an immediate opening. Candidates who move forward in the process may be considered for current and future opportunities as they arise. 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 2+ years of professional experience in software engineering or ML engineering Strong Python skills and familiarity with libraries like PyTorch, Hugging Face, LangChain, or OpenAI APIs Solid understanding of data pipelines, APIs, and production deployment (e.g., Docker, FastAPI, GCP/AWS) Experience building usable systems from messy data and ambiguous requirements Strong communication skills — you can explain techn
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