Gen AI Engineer

Vision Square
Dallas, TX, United States
1 day ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

LangGraph Framework Agile Methodology Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure Continuous Integration Python (Programming Language) Tensorflow Search Technologies Software Engineering Pinecone
+15 more
Google Cloud Enterprise Software Applications Retrieval-Augmented Generation Large Language Models Prompt Engineering Generative AI Backend Agentic-AI Kubernetes Machine Learning Operations FAISS Restful APIs Docker ChromaDB Microservices

Job description

We are seeking an experienced Gen AI Engineer with 6-8+ years of software engineering experience and strong hands-on expertise in Generative AI, Large Language Models (LLMs), and AI-powered application development. The ideal candidate will be responsible for designing, developing, and implementing scalable GenAI solutions to support enterprise business requirements., * Design and develop enterprise-grade Generative AI applications.

  • Build and optimize LLM-based solutions using RAG architecture.
  • Develop AI agents and intelligent automation solutions.
  • Implement prompt engineering strategies to improve model performance.
  • Integrate LLMs with enterprise applications, c, and data sources.
  • Work with cross-functional teams to deliver scalable AI solutions.
  • Monitor, evaluate, and optimize AI application performance.
  • Ensure security, reliability, and scalability of AI solutions.

Requirements

  • 6-8+ years of experience in software engineering, AI/ML, or related technologies.
  • Strong hands-on experience with Generative AI and Large Language Models (LLMs).
  • Experience with Python programming and AI/ML frameworks.
  • Strong understanding of Retrieval-Augmented Generation (RAG) architecture.
  • Experience with LangChain, LangGraph, or similar frameworks.
  • Hands-on experience with prompt engineering and LLM integration.
  • Experience working with vector databases such as Pinecone, FAISS, or ChromaDB.
  • Knowledge of REST APIs, microservices, and backend development.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Understanding of NLP, embeddings, and semantic search.
  • Experience in developing, testing, and deploying AI-powered applications.

Preferred Skills

  • Experience with Agentic AI and AI agents.
  • Knowledge of model fine-tuning and evaluation techniques.
  • Experience with MLOps and LLMOps.
  • Familiarity with Docker, Kubernetes, and CI/CD pipelines.
  • Experience working in Agile development environments.
  • Financial services or banking domain experience is a plus.

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