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AI/ML Engineer Python, LangChain & Google ADK

Hybrid in Dallas, TX, US • Posted 2 hours ago • Updated 2 hours ago

Contract Corp To Corp

Contract W2

12 Months

Hybrid

$60+

Fitment

Dice Job Match Score™

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Job Details

Skills

Machine Learning Operations (ML Ops)
Google Cloud
Google Cloud Platform
Kubernetes
LangChain
Machine Learning (ML)
Microservices
NoSQL
Prompt Engineering
Python
SQL
Software Development
Cloud Computing
Generative Artificial Intelligence (AI)
Git
Good Clinical Practice
Continuous Integration
Continuous Delivery

Summary

Role: AI/ML Engineer Python, LangChain & Google ADK

Location: Dallas, TX

Duration: 12 Months Contract

Job Summary:

We are seeking an experienced AI/ML Engineer with expertise in Python, LangChain, and Google Agent Development Kit (Google ADK) to build and deploy enterprise-grade Generative AI applications and intelligent AI agents. The ideal candidate will have strong experience with LLMs, RAG architectures, prompt engineering, and cloud-native AI solutions.

Required Skills:

8+ years of software development experience with strong Python expertise
Hands-on experience with LangChain and Google ADK (Agent Development Kit)
Experience building AI agents using LLMs such as Gemini, OpenAI, Claude, or Llama
Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases
Experience with Google Cloud Platform (Google Cloud Platform), especially Vertex AI and Gemini APIs
Knowledge of REST APIs, microservices, and Docker
Experience with Git, CI/CD, and Agile development
Familiarity with SQL/NoSQL databases

Preferred Skills:

Experience with LangGraph, CrewAI, AutoGen, or similar agentic AI frameworks
Knowledge of Pinecone, Weaviate, ChromaDB, or FAISS
Experience deploying AI applications on Kubernetes or Google Cloud Platform

Responsibilities:

Design and develop AI-powered applications and intelligent agents
Build RAG pipelines and integrate LLMs using LangChain and Google ADK
Develop scalable APIs and backend services in Python
Optimize AI model performance, accuracy, and latency
Collaborate with cross-functional teams to deliver production-ready AI solutions
Follow best practices for testing, deployment, monitoring, and MLOps

Regards,

Vasu Nag

Associate- Talent Acquisition

Email:

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: 10119616
Position Id: VN94782001
Posted 2 hours ago

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