# Senior Software Engineer, Applied AI (Forward Deployed)

**Company:** [Invisible Tech](https://hotfix.jobs/companies/invisible-tech)
**Location:** New York, NY
**Role:** ML Engineering
**Salary:** $180k – $264k/yr
**Experience:** 7+ years
**Skills:** Python, Hugging Face, LangChain, OpenAI, Pinecone, Docker, FastAPI, Kubernetes, GCP, AWS, Kafka, Unity Catalog, LLMs
**Posted:** 2026-03-09

> Senior forward-deployed engineer builds and deploys AI-powered workflows using LLMs and ML frameworks for client operational problems. Requires 7+ years experience in Python, data/ML systems, deployment infrastructure, and client-facing skills; hybrid in NYC area.

## Job Description

## 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
- **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

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