GenAI Engineer 430297

Siri InfoSolutions Inc; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Siri InfoSolutions Inc. is hiring a GenAI Engineer for Plano, TX to design and implement enterprise GenAI apps using AWS Bedrock and related AWS services.

You will build scalable RAG and agentic workflows, work with embeddings, vector databases, and prompt engineering, and ensure secure, efficient deployment of AI solutions. You will collaborate with architects, product owners, data engineers, and security teams while optimizing latency, cost, and reliability, and contributing to CI/CD, testing,

Qualifications

• Strong Python or Java development experience.
• Hands-on AWS Bedrock experience.
• Solid knowledge of RAG, embeddings, vector databases, prompt engineering, and LLMs.
• Experience with MCP, tool calling, and agentic workflows.
• Experience with APIs, microservices, and cloud-native architecture.
• Knowledge of AWS IAM, KMS, Lambda, CloudWatch, Step Functions, and API Gateway.
• Experience with LangChain/LangGraph or similar frameworks.

Responsibilities

• Design and develop enterprise GenAI applications using AWS Bedrock and AWS services.
• Build scalable RAG, agentic AI, and MCP-based workflows.
• Work with foundation models, embeddings, vector search, prompt engineering, and context/memory management.
• Integrate AI agents with enterprise tools, APIs, and microservices.
• Optimize AI solutions for latency, cost, token usage, security, and reliability.
• Evaluate model responses for quality, accuracy, safety, and relevance.
• Develop reusable prompts, agent patterns, and orchestration components.
• Support deployment, monitoring, logging, testing, and CI/CD of GenAI applications.
• Collaborate with architects, product owners, data engineers, and security teams.

Skills

Python/Java

AWS Bedrock

RAG & embeddings

MCP & agentic workflows

APIs & microservices

AWS IAM & Lambda

LangChain/LangGraph

Tools

LangChain

OpenSearch

Job description

Job Title: GenAI Engineer AWS Bedrock

Key Responsibilities

• Design and develop enterprise GenAI applications using AWS Bedrock and AWS services.
• Build scalable RAG, agentic AI, and MCP-based workflows.
• Work with foundation models, embeddings, vector search, prompt engineering, and context/memory management.
• Integrate AI agents with enterprise tools, APIs, and microservices.
• Optimize AI solutions for latency, cost, token usage, security, and reliability.
• Evaluate model responses for quality, accuracy, safety, and relevance.
• Develop reusable prompts, agent patterns, and orchestration components.
• Support deployment, monitoring, logging, testing, and CI/CD of GenAI applications.
• Collaborate with architects, product owners, data engineers, and security teams.

Required Skills

• Strong Python or Java development experience.
• Hands-on AWS Bedrock experience.
• Strong knowledge of RAG, embeddings, vector databases, prompt engineering, and LLMs.
• Experience with MCP, tool calling, and agentic workflows.
• Experience with APIs, microservices, and cloud-native architecture.
• Knowledge of AWS IAM, KMS, Lambda, CloudWatch, Step Functions, and API Gateway.
• Experience with LangChain/LangGraph or similar frameworks.

Preferred

• OpenSearch, Aurora PostgreSQL, DynamoDB, or vector databases.
• CI/CD and software testing practices.
• Automotive or Manufacturing domain experience.