Forward Deployed AI Engineer

Geopaq Logic

Denver, CO • 15m ago • On-site

Senior

On-site

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Quick Facts

  • Contract period: 6 months

  • Working location: Denver, CO

Description

Design and deploy AI-powered applications and enterprise solutions using Python, JavaScript, AWS, and Databricks. Work directly with customer engineering teams to understand business requirements and deliver solutions in real time. Translate business challenges into scalable technical architectures and build intelligent workflows using Generative AI, LLMs, LangChain, RAG, and AI agents.

Responsibilities

  • Design and deploy AI-powered applications and enterprise solutions using Python, JavaScript, AWS, and Databricks.

  • Collaborate with customer engineering teams to understand business requirements and deliver solutions in real time.

  • Translate business challenges into scalable technical architectures using major cloud platforms.

  • Build intelligent workflows and applications with Generative AI, LLMs, LangChain, RAG, and AI agents.

  • Develop data-driven backend solutions using Databricks, Apache Spark, and SQL.

  • Build full-stack applications, APIs, and microservices using React, Node.js, FastAPI, or Django.

  • Independently navigate technical ambiguity and drive solutions to completion.

  • Communicate project progress to technical and non-technical stakeholders.

Requirements

  • Strong experience in AI engineering, solution architecture, or full-stack development.

  • Hands-on programming expertise in Python or JavaScript/TypeScript.

  • Proven experience in customer-facing engineering roles (Forward Deployed Engineer or Solutions Engineer).

  • Solid understanding of software architecture, APIs, microservices, and system integration.

  • Experience with cloud platforms, particularly AWS (Bedrock, SageMaker) and cloud-native deployments.

  • Familiarity with modern AI frameworks including LLMs, LangChain, RAG, and AI agents.

  • Experience with data platforms like Databricks, Apache Spark, and SQL.

  • Excellent communication skills and ability to work independently in ambiguous environments.

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.

  • Experience deploying production-grade AI or enterprise solutions for customers.

Benefits

Not specified in the posting.

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