GenAI Forward Deployed Engineer: Production LLMs & Agents

Tiger Analytics

Atlanta (GA)

Vor Ort

USD 140.000 - 210.000

Vollzeit

vor 32 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Tiger Analytics is seeking a Forward Deployed Engineer with Gen AI expertise to join our analytics consultancy. You will directly partner with Fortune 500 clients, translating complex business challenges into production-grade GenAI and Agentic AI solutions—from initial conversations to live deployments.

You will design, build, deploy, and scale LLM applications, RAG systems, and AI agents, integrating with enterprise data, APIs, and cloud platforms, while ensuring performance and cost efficiency.

Qualifikationen

  • 7+ years in software engineering, ML engineering, or AI engineering.
  • Strong Python programming skills and API/databases knowledge.
  • GenAI/Agentic AI experience with end-to-end solutions.
  • Hands-on with LLMs (OpenAI, Anthropic Claude, Gemini) and RAG.
  • Experience with agent orchestration, multi-agent workflows, and frameworks.

Aufgaben

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

Kenntnisse

Python
Client communication
Problem solving
JavaScript/TypeScript
ML/AI engineering

Tools

LangGraph
LangChain
LlamaIndex
Google ADK
Bedrock

Jobbeschreibung

Tiger Analytics is seeking a Forward Deployed Engineer with Gen AI expertise to join our analytics consultancy. You will directly partner with Fortune 500 clients, translating complex business challenges into production-grade GenAI and Agentic AI solutions—from initial conversations to live deployments.

You will design, build, deploy, and scale LLM applications, RAG systems, and AI agents, integrating with enterprise data, APIs, and cloud platforms, while ensuring performance and cost efficiency.

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