AI Solutions Engineer — Client-Facing & Production-Ready

Tribalscale Inc.

New York (NY)

On-site

USD 180,000 - 240,000

Full time

5 days ago
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Benefits offered by this job

Health Insurance
Professional Development: Courses & L\
Conference tickets
Flexible work schedule
Parental leave
Birthday day off
On-site & remote options

Job summary

TribalScale is seeking a Forward Deployed Engineer to operate at the intersection of software engineering, AI, product development, and client delivery. You will embed with client teams to translate business needs into production-ready software, while shaping AI systems, harnesses, and agent workflows for reliable real-world use.

You will work across the stack, from interfaces to AI infrastructure, ensuring observability, security, and robust performance in live deployments.

Qualifications

  • Strong proficiency in Python, TypeScript, or another language used to build AI applications.
  • Experience instrumenting AI systems to trace decisions, measure quality, and diagnose failures.
  • Familiarity with graph-based orchestration, state machines, and multi-step workflows for coordinating agents and tools.

Responsibilities

  • Embed with client and internal teams to design and deploy production-quality software for AI applications.
  • Design, build, and refine AI-enabled products, agent loops, tools, APIs, and data pipelines.
  • Collaborate with product managers, engineers, and clients to translate business needs into technical plans and deliverables.

Skills

Python
TypeScript
AI systems
Agent frameworks
Cloud platforms

Tools

AWS
Azure
GCP
Kubernetes

Job description

TribalScale is seeking a Forward Deployed Engineer to operate at the intersection of software engineering, AI, product development, and client delivery. You will embed with client teams to translate business needs into production-ready software, while shaping AI systems, harnesses, and agent workflows for reliable real-world use.

You will work across the stack, from interfaces to AI infrastructure, ensuring observability, security, and robust performance in live deployments.

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