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    TeamStation AI - Nearshore Engineering Services for AWS

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    Build and govern nearshore teams for AWS application development, modernization, and agentic AI. TeamStation AI connects talent evaluation, EOR, payroll, devices, security, workspace access, and delivery oversight in one managed engineering system.

    Overview

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    Nearshore engineering services for AWS

    TeamStation AI helps US CIOs and CTOs build and govern nearshore software development  teams in Latin America for AWS applications, modernization and agentic AI. You retain architecture, priorities, engineer selection and production-access approval.

    Built on AWS: The TeamStation AI system, its database, and the Nebula data lake run on AWS.

    AWS delivery example

    A Clutch-verified review describes 2–5 engineers rebuilding a mobile app, migrating AWS infrastructure and modernizing a manufacturing software platform. The client reported all deadlines met for that engagement. AWS migration case study .

    Business topology first

    We map outcomes, systems, dependencies and ownership before team design. Your scope defines AWS skills, deliverables, acceptance criteria, collaboration hours and budget. Required certifications are verified individually.

    Advanced evaluation with evidence you can inspect

    Axiom Cortex evaluates how engineers reason through technical problems, explain tradeoffs, handle ambiguity, and communicate decisions. Inspect evidence and human-reviewed recommendations.

    Nebula AI Talent Graph informs team planning with talent-market signals, skill relationships and country context.

    Explore software engineer evaluation with Axiom Cortex  and LATAM engineering talent intelligence .

    One managed operating system

    • EOR, payroll and benefits: employment coordination, onboarding, offboarding, confidentiality and IP provisions.
    • Devices and security: equipment, MDM, endpoint policies, access governance and recovery procedures.
    • Cyber insurance: applicable arrangements, policy limits and exclusions confirmed during scoping.
    • Global workspace access: locations, availability, access terms and costs confirmed for your engagement.
    • Delivery oversight: reporting, escalation, continuity planning and delivery telemetry.

    Our nearshore engineering governance  connects these services. Your scope identifies inclusions and responsibilities.

    Pricing by role and experience level

    USD reference estimates per engineer. Confirm current pricing in your private offer.

    • Monthly estimate: based on 173 hours per month.
    • Hourly equivalent: for comparison, not an hourly billing rate.

    Choose the experience level

    • L1: Proficient
    • L2: Mid-Level
    • L3: Senior
    • L4: Expert / Architect
    • L5: Manager / Staff Leader

    Compare role costs

    Monthly estimate / hourly equivalent.

    Software, Cloud, DevOps , Platform, SRE, Data  and QA:

    • L1: $3,460/month ($20/hour)
    • L2: $5,190/month ($30/hour)
    • L3: $6,920/month ($40/hour)
    • L4: $8,650/month ($50/hour)
    • L5: $10,380/month ($60/hour)

    AI engineering : AI Software, LLM, MLOps, Context and Forward Deployed:

    • L1: $4,325/month ($25/hour)
    • L2: $6,055/month ($35/hour)
    • L3: $6,920/month ($40/hour)
    • L4: $9,515/month ($55/hour)
    • L5: $11,245/month ($65/hour)

    AI Systems, Agentic Systems, AI Platform and AI Governance:

    • L1: $4,325/month ($25/hour)
    • L2: $6,055/month ($35/hour)
    • L3: $7,785/month ($45/hour)
    • L4: $10,380/month ($60/hour)
    • L5: $12,110/month ($70/hour)

    The role catalog models +/- $5/hour around these midpoints. Scope and candidate requirements affect price. Dedicated management and executive roles use separate rate profiles.

    Confirm your monthly price

    Planning estimates, not final quotes. The engineering team cost calculator  uses approved monthly engineer salaries plus the approved operating fee per engineer. These catalog references require current scope and price confirmation. Review nearshore software development pricing . Your AWS Marketplace private offer and statement of work define monthly prices, inclusions, fees and terms. Purchases through this listing are billed through AWS Marketplace. Customer AWS infrastructure charges are separate.

    More buyer resources

    Request a scoped private offer

    Contact lonnie@teamstation.io . Your engagement defines onboarding, support contacts, working hours, response commitments and escalation.

    Highlights

    • Nearshore engineering for AWS application development, infrastructure migration, platform modernization and agentic AI. Roles, technical responsibilities and deliverables are scoped around your business objective.
    • Axiom Cortex evaluates technical reasoning, communication and role fit with question-level evidence and human review. Nebula adds LATAM talent-market intelligence. You approve engineer selection and production access.
    • One managed engineering system connects EOR, payroll, benefits, devices, MDM, security, cyber insurance arrangements, workspace access, and delivery oversight. Inclusions, availability, and coverage are defined in the engagement.

    Details

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    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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    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 and engagement coordination. Each statement of work defines support contacts, communication channels, working hours, escalation procedures, and reporting cadence. Support coverage and response commitments are agreed for the specific engagement.