AI/ML Engineer Python, LangChain & Google ADK
K Anand Corporation
Dallas, TX, United States
15 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+11 more
Prompt Engineering
Generative AI
Backend
Git
Build Management
Kubernetes
Machine Learning Operations
Virtual Agents
Restful APIs
Docker
Microservices
Job 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
Requirements
- 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
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