Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
18 hours ago
DockerMicroservicesSQLAPI GatewayAWSETLEncryptionOAuthApacheGenerative AIGitJWTKafkaKubernetesPythonREST
Job Description
Hi
Our client is looking for a Tech Lead AI Engineer project in Dallas, Tx below is the detailed requirement.
Job positing Title: Tech Lead AI Engineer
Location: Dallas, Tx
Location: Dallas, Tx
Job description:
• Bachelor’s degree in related field
• Strong hands-on software-development experience using Python.
• Experience leading the delivery of enterprise AI or machine-learning solutions in production.
• Strong understanding of generative AI, large language models, prompt engineering, embeddings, retrieval-augmented generation, and AI agents.
• Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent technologies.
• Hands-on experience with AWS services, including Lambda, S3, API Gateway, ECS/Fargate, EventBridge, Glue, SQS/SNS, CloudWatch, and IAM.
• Experience with Amazon Bedrock, SageMaker, or comparable enterprise AI platforms.
• Strong knowledge of REST APIs, microservices, JSON, authentication, authorization, and enterprise application integration.
• Experience with Apache Kafka or another event-streaming and messaging platform.
• Strong understanding of SQL, data modeling, ETL/ELT pipelines, and relational or NoSQL databases.
• Experience with vector databases or vector-search technologies.
• Knowledge of OAuth 2.0, JWT, API keys, role-based access control, encryption, and secrets management.
• Experience with Docker, Kubernetes or ECS, Git, and automated CI/CD pipelines.
• Experience implementing unit, integration, API, model-evaluation, and performance testing.
• Strong knowledge of logging, monitoring, tracing, error handling, retry mechanisms, and production support.
• Strong hands-on software-development experience using Python.
• Experience leading the delivery of enterprise AI or machine-learning solutions in production.
• Strong understanding of generative AI, large language models, prompt engineering, embeddings, retrieval-augmented generation, and AI agents.
• Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent technologies.
• Hands-on experience with AWS services, including Lambda, S3, API Gateway, ECS/Fargate, EventBridge, Glue, SQS/SNS, CloudWatch, and IAM.
• Experience with Amazon Bedrock, SageMaker, or comparable enterprise AI platforms.
• Strong knowledge of REST APIs, microservices, JSON, authentication, authorization, and enterprise application integration.
• Experience with Apache Kafka or another event-streaming and messaging platform.
• Strong understanding of SQL, data modeling, ETL/ELT pipelines, and relational or NoSQL databases.
• Experience with vector databases or vector-search technologies.
• Knowledge of OAuth 2.0, JWT, API keys, role-based access control, encryption, and secrets management.
• Experience with Docker, Kubernetes or ECS, Git, and automated CI/CD pipelines.
• Experience implementing unit, integration, API, model-evaluation, and performance testing.
• Strong knowledge of logging, monitoring, tracing, error handling, retry mechanisms, and production support.
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