Gen AI Engineer — Enterprise AI & RAG on AWS Bedrock

Acestack; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Acestack seeks a Gen AI Engineer in Plano, TX to design and implement AI applications using AWS Bedrock and related services. You will build secure, scalable AI workflows for enterprise use cases and optimize costs, latency, and token usage across workloads.

You will work on retrieval-augmented generation, prompt engineering, and grounding techniques, integrating MCP tools and APIs with enterprise systems while collaborating with product, data, security, and architecture teams.

Qualifications

• Strong experience with Python or Java.
• Hands-on experience with AWS Bedrock.
• Understanding of foundation models, embeddings, RAG, and vector search.
• Experience with prompt engineering and context management.
• Familiarity with MCP concepts and tool integration patterns.
• Experience with APIs, microservices, and cloud-native architecture.
• Knowledge of enterprise security, privacy, and governance requirements.
• Ability to evaluate model performance and improve response quality.

Responsibilities

• Design and implement Gen AI applications using AWS Bedrock and related AWS services.
• Build secure, scalable, and maintainable AI workflows for enterprise use cases.
• Develop retrieval-augmented generation solutions that use enterprise knowledge sources effectively.
• Manage context windows, memory strategies, prompt composition, and grounding techniques.
• Integrate MCP-based tools and services to extend model capabilities and connect to enterprise systems.
• Collaborate with product owners, architects, data engineers, and security teams.
• Evaluate model outputs for quality, safety, relevance, and factual accuracy.
• Optimize latency, cost, and token usage across AI workloads.
• Create reusable prompts, agent patterns, and orchestration components.
• Support deployment, monitoring, logging, and continuous improvement of Gen AI systems.

Job description

Acestack seeks a Gen AI Engineer in Plano, TX to design and implement AI applications using AWS Bedrock and related services. You will build secure, scalable AI workflows for enterprise use cases and optimize costs, latency, and token usage across workloads.

You will work on retrieval-augmented generation, prompt engineering, and grounding techniques, integrating MCP tools and APIs with enterprise systems while collaborating with product, data, security, and architecture teams.