Skip to content
Invisible TechInvisible TechNew York, NY

Senior Software Engineer, Applied AI (Forward Deployed)

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.

180k – 264k/yr
Hybrid7+ YOEML Engineering

About the role

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

Skills

PythonHugging FaceLangChainOpenAIPineconeDockerFastAPIKubernetesGCPAWSKafkaUnity CatalogLLMs

Similar roles

ML Engineering jobs
Ironclad

Senior Software Engineer, AI

IroncladSan Francisco, CA

Lead design and delivery of high-priority AI initiatives across multiple codebases. Build and ship AI-powered features with strong backend fundamentals and product sense.

180k – 220k/yr
Hybrid5+ YOEML Engineering
Onos Health

Senior Software Engineer (AI)

Onos HealthSan Francisco, CA

Experienced AI/ML engineer building and deploying LLM/NLU systems to extract and evaluate clinical data from medical documents for healthcare payers. Focus on reliable, accurate outputs and seamless integration with backend platforms.

180k – 240k/yr
Hybrid4+ YOEML Engineering
Teleskope

Senior Machine Learning Engineer

TeleskopeNew York, NY

Leads team building and scaling production ML pipelines for entity extraction and data classification across text, documents, and OCR. Requires 5+ years deploying ML systems, strong NLP expertise, Python proficiency, and translating research to production.

180k – 210k/yr
Hybrid5+ YOEML Engineering
Arcade

Senior Machine Learning Engineer

ArcadeSan Francisco, CA

Builds and fine-tunes generative ML models for image, video, and text to create brand-aligned content. Collaborates with design, engineering, and product teams to prototype, evaluate, and deploy production APIs. Requires 5+ years ML experience with PyTorch and modern tooling.

180k – 300k/yr
Hybrid5+ YOEML Engineering
Posh

Senior Software Engineer, Personalization

PoshNew York, NY

Lead personalization and classification algorithm productionization, building ML model-serving infrastructure and translating experimental outputs into scalable production systems. Requires 5+ years experience, backend/infrastructure specialization, and proficiency in AWS, Java, Python, and TypeScript.

180k – 220k/yr
On-site5+ YOEML Engineering