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# AI/ML Engineer Python, LangChain & Google ADK

- **Company:** K Anand Corporation
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Software Applications, Cloud Engineering, Continuous Integration, Python (Programming Language), NoSQL, Software Engineering, SQL Databases, Google Cloud, Large Language Models, Prompt Engineering, Generative AI, Backend, Git, Build Management, Kubernetes, Machine Learning Operations, Virtual Agents, Restful APIs, Docker, Microservices
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/9fd780ea-1e8b-4a64-9742-7eb99ed3debe

## About the Role

* 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

## Description

* 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., * 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


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