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    Amazon Bedrock Generative AI Engineering | TeamStation AI

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    TeamStation AI provides nearshore generative AI engineering for applications using Amazon Bedrock. Team roles, deliverables, and acceptance criteria are scoped in an AWS Marketplace private offer.

    Overview

    TeamStation AI provides nearshore generative AI engineering for applications using Amazon Bedrock. Engineers connect approved models, prompts, and retrieval sources to a defined business workflow. Evaluation criteria cover answer quality, source use, failure behavior, and the operating costs relevant to that workflow. AWS services in scope can include Amazon Bedrock, Amazon S3, AWS Lambda, Amazon CloudWatch, as agreed for the workload.

    Delivery scope

    • Use-case requirements and model-selection record
    • Prompt and retrieval implementation
    • Evaluation cases and documented quality checks
    • Application integration and AI operating notes

    Role, level and country coverage

    Service type: Nearshore engineering specialist service.

    Roles: AI Software Engineer, LLM Engineer, Context Engineer.

    Countries: Mexico, Brazil, Colombia, Argentina, Uruguay, Costa Rica, Chile, Peru, Ecuador, Guatemala. Role availability and operating requirements are confirmed during scoping.

    Pricing by role and experience level

    USD reference estimates per engineer, matching the main TeamStation AI AWS service listing. Monthly estimates use 173 planning hours. Hourly equivalents are for comparison, not hourly billing rates.

    AI Software, LLM, MLOps, Context and Forward Deployed

    • L1 Proficient: $4,325/month, $25/hour equivalent.
    • L2 Mid-Level: $6,055/month, $35/hour equivalent.
    • L3 Senior: $6,920/month, $40/hour equivalent.
    • L4 Expert / Architect: $9,515/month, $55/hour equivalent.
    • L5 Manager / Staff Leader: $11,245/month, $65/hour equivalent.

    The master role catalog models +/- $5/hour around these midpoints. Scope and candidate requirements affect price. Dedicated management and executive roles use separate rate profiles. Planning estimates, not final quotes. The AWS Marketplace private offer and statement of work define monthly prices, inclusions, fees and terms.

    Delivery and AWS billing

    TeamStation AI scopes roles and delivery responsibilities around your business objective. Axiom Cortex supports engineer evaluation with technical reasoning and communication evidence, and human review. You approve engineer selection, architecture, priorities, and production access. Employment coordination, devices, security arrangements, and delivery oversight are defined for the engagement. Request a private offer at lonnie@teamstation.io . The AWS Marketplace private offer and statement of work define service period, deliverables, acceptance criteria, prices, and support. Service purchases are billed through AWS Marketplace. AWS infrastructure and service consumption charges are separate and paid by the customer.

    Highlights

    • TeamStation AI provides nearshore generative AI engineering for applications using Amazon Bedrock.
    • Work outputs: Use-case requirements and model-selection record; Prompt and retrieval implementation; Evaluation cases and documented quality checks.
    • Nearshore engineers with technical reasoning evidence and human review. You approve selection and production access. Scope, support, and fees are defined in your AWS Marketplace private offer.

    Details

    Delivery method

    Deployed on AWS
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    Multi-product solutions

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    Contact lonnie@teamstation.io  for service inquiries, engagement coordination, troubleshooting, and refund requests where applicable. The statement of work defines support contacts, communication channels, working hours, response commitments, escalation procedures, and reporting cadence. Support coverage is agreed for the specific engagement.