Forward-Deployed GenAI Engineer: Production LLMs & Agents

Tiger Analytics Inc.

Dallas (TX)

On-site

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

Tiger Analytics Inc. is seeking a Forward Deployed Engineer with Gen AI expertise to join a fast-growing analytics consulting firm in Dallas, TX. You will own the journey from first client conversation to live deployment of production-grade GenAI and Agentic AI solutions.

Responsibilities include designing and deploying LLM applications, integrating AI with enterprise data and APIs, and scaling solutions in production Cloud environments while collaborating with architects and client stakeholders.

Qualifications

  • 7+ years in software engineering, application development, ML/AI engineering.
  • Strong Python programming skills and production deployments experience.
  • Experience with APIs, databases, and cloud-native architectures.
  • Familiarity with GenAI, LLMs, and agent-based AI environments.

Responsibilities

  • Partner with clients to translate business problems into GenAI/Agentic AI solutions.
  • Design, build, deploy, and scale LLM apps, RAG systems, and AI agents.
  • Integrate AI with enterprise data, APIs, databases, and business apps.
  • Deploy and operate production solutions in cloud environments.
  • Troubleshoot, optimize performance, security, and cost of systems.
  • Collaborate with architects, ML engineers, developers, and stakeholders.

Skills

7+ years experience
Python programming
APIs & system design
JavaScript/TypeScript

Tools

LangGraph
LangChain
LlamaIndex
Google ADK
MCP/A2A protocols

Job description

Tiger Analytics Inc. is seeking a Forward Deployed Engineer with Gen AI expertise to join a fast-growing analytics consulting firm in Dallas, TX. You will own the journey from first client conversation to live deployment of production-grade GenAI and Agentic AI solutions.

Responsibilities include designing and deploying LLM applications, integrating AI with enterprise data and APIs, and scaling solutions in production Cloud environments while collaborating with architects and client stakeholders.

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