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Salary: USD 180,000 - 250,000 / annual
Invisible Technologies is an AI platform company that structures messy data, automates digital workflows, and deploys agentic solutions at scale. The company is profitable, recently raised $100M in growth capital, and ranked #2 fastest-growing AI company on the 2024 Inc. 5000 list. They work with enterprise clients across industries including supply chain, defense, and sports.
As a Senior Software Engineer (Forward Deployed), you will be a hybrid AI engineer, software builder, and technical consultant. You'll work directly with clients and internal delivery teams to build and deploy AI-powered solutions end-to-end. Your responsibilities include scoping ambiguous technical problems, prototyping AI workflows, designing and implementing LLM-powered systems, and deploying scalable solutions on the Invisible platform.
Key responsibilities:
- Collaborate with delivery leaders to scope technical solutions to operational problems
- Identify workflow optimizations through deep customer engagement and build stable, scalable solutions
- Design and implement AI workflows using LLMs, embedding models, retrieval systems, and automation tools
- Translate real-world constraints (inconsistent data, latency requirements) into elegant engineering solutions
- Iterate quickly based on real-time feedback from operators and clients
- Build reusable tooling and infrastructure to accelerate future deployments
- Own projects end-to-end from scoping through deployment
- Interface with technical and non-technical stakeholders
Required qualifications:
- 6+ years of software engineering experience with significant time in data, ML, or backend systems
- Deep Python proficiency with hands-on experience in Hugging Face, LangChain, OpenAI, Pinecone
- Full-stack and API deployment expertise: Docker, FastAPI, Kubernetes, GCP, AWS
- Experience with workflow orchestration, pub/sub systems (Kafka), schema governance
- Data management expertise: Unity Catalog, data governance, Delta/ETL pipelines, data contracts
- Strong product and system design instincts
- Experience building systems from messy data and ambiguous requirements
- Excellent communication and client-facing skills
- Proven ability to own high-stakes projects in ambiguous environments
- Willingness to be on-call for customers
- Ability to travel ~25% (primarily North America, occasional international)
- Bachelor's degree in Data Science, Computer Science, or equivalent professional experience
This role offers competitive compensation, bonus, and equity. The position is hybrid with offices in San Francisco, New York, and London.
