GenAI Forward-Deployed Engineer — Build Production AI Agents

Tiger Analytics Inc.

Chicago (IL)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Tiger Analytics Inc. is seeking an experienced Forward Deployed Engineer with GenAI expertise to join our fast-growing analytics consulting firm.

You will work directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and agentic AI solutions. Responsibilities include designing and deploying end-to-end AI applications, integrating with enterprise data, and scaling solutions in cloud environments while collaborating with architects and

Qualifications

  • 7+ years in software engineering, application development, ML engineering, or AI engineering.
  • Strong Python programming skills.
  • Solid grasp of APIs, system design, databases, cloud-native apps, and production deployments.

Responsibilities

  • Partner with clients to translate complex problems into GenAI/Agentic AI solutions.
  • Design, build, deploy, and scale LLM applications, RAG systems, AI agents, and multi-agent workflows.
  • Integrate AI with enterprise data, APIs, databases, and business apps.
  • Deploy and operate solutions in production cloud environments.
  • Troubleshoot and optimize production systems for performance, scalability, reliability, and cost.
  • Collaborate with architects, ML engineers, developers, and stakeholders in fast-moving environments.

Skills

Python
APIs
System design
Databases
Cloud-native apps
Production deployments
JavaScript/TypeScript

Tools

LangGraph
LangChain
LlamaIndex
Google ADK
MCP
A2A

Job description

Tiger Analytics Inc. is seeking an experienced Forward Deployed Engineer with GenAI expertise to join our fast-growing analytics consulting firm.

You will work directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and agentic AI solutions. Responsibilities include designing and deploying end-to-end AI applications, integrating with enterprise data, and scaling solutions in cloud environments while collaborating with architects and

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