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Full Stack Engineer with strong AI knowledge

Dallas, TX, US • Posted 10 hours ago • Updated 10 hours ago

Full Time

75% Travel Required

On-site

$7 - $12/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

AI
Python
GO

Summary

Role: Full Stack Engineer with strong AI knowledge
Location Dallas, TX
Mode: Fulltime

About the Role

We are seeking a Full Stack Engineer with strong AI knowledge to work onsite at our client location, contributing to the development of AI‑enabled applications and cloud‑native platforms. The role involves full‑stack development along with hands‑on integration of Generative AI/LLM capabilities, agentic frameworks, and the latest AI toolchains.

Key Responsibilities

Full Stack Engineering

Develop and maintain full‑stack applications using Python or Go.
Build backend microservices, APIs (REST/gRPC), and cloud‑native services.
Contribute to frontend development using modern frameworks (React, Angular, Vue).
Deploy applications on AWS, Azure, or Google Cloud Platform.
Work onsite at client premises as part of daily collaboration.

AI Engineering

Integrate business applications with LLMs (OpenAI, Azure OpenAI, Anthropic, Vertex AI).
Develop AI-driven workflows using:
MCP (Model Context Protocol)
Agentic AI frameworks (Crew AI, AutoGen, AgentOps)
LangChain
Work with embeddings, vector search, and retrieval pipelines.
Collaborate with AI/ML teams to productionize models.

Required Qualifications

U.S. Citizen (mandatory due to client requirements).
5–7 years of full-stack development experience.
Strong skills in Python and/or Go.
Hands-on experience with cloud environments (AWS/Azure/Google Cloud Platform).
Experience integrating with Generative AI / LLM APIs.
Knowledge of MCP, agentic frameworks, and LangChain.
Proficiency in relational/NoSQL databases.
Ability to work onsite at client’s workplace.

Preferred Qualifications

Experience with vector databases
Familiarity with serverless architectures.
Background working in regulated or secure environments (nice to have).

About the Role

We are seeking a C to work onsite at our client location, contributing to the development of AI‑enabled applications and cloud‑native platforms. The role involves full‑stack development along with hands‑on integration of Generative AI/LLM capabilities, agentic frameworks, and the latest AI toolchains.

Key Responsibilities

Full Stack Engineering

Develop and maintain full‑stack applications using Python or Go.
Build backend microservices, APIs (REST/gRPC), and cloud‑native services.
Contribute to frontend development using modern frameworks (React, Angular, Vue).
Deploy applications on AWS, Azure, or Google Cloud Platform.
Work onsite at client premises as part of daily collaboration.

AI Engineering

Integrate business applications with LLMs (OpenAI, Azure OpenAI, Anthropic, Vertex AI).
Develop AI-driven workflows using:
MCP (Model Context Protocol)
Agentic AI frameworks (Crew AI, AutoGen, AgentOps)
LangChain
Work with embeddings, vector search, and retrieval pipelines.
Collaborate with AI/ML teams to productionize models.

Required Qualifications

U.S. Citizen (mandatory due to client requirements).
5–7 years of full-stack development experience.
Strong skills in Python and/or Go.
Hands-on experience with cloud environments (AWS/Azure/Google Cloud Platform).
Experience integrating with Generative AI / LLM APIs.
Knowledge of MCP, agentic frameworks, and LangChain.
Proficiency in relational/NoSQL databases.
Ability to work onsite at client’s workplace.

Preferred Qualifications

Experience with vector databases
Familiarity with serverless architectures.
Background working in regulated or secure environments (nice to have).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1e861f
Position Id: 714-40829-
Posted 10 hours ago

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