We're building out a Model Context Protocol (MCP) infrastructure for a mid-market US software company that's moving fast into agentic AI. This isn't a support role or a ticket queue. The person in this seat sits directly alongside a lead on the project and owns the backend implementation of MCP server components from day one.
The existing product runs on Java, SQL Server, and Angular. MCP is the new layer being built on top. Your job is to design and ship the server-side components that make tool-use, function calling, and agent orchestration work reliably at production scale. You'll work in a tight, senior team where your decisions have immediate visibility and real consequences.
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5+ years of hands-on Java development with Spring Boot and WebFlux - not framework familiarity, but deep OOP fundamentals and the ability to architect complex systems from the ground up
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Experience integrating on-premises systems with cloud-hosted services - the core architecture requires bridging existing on-prem infrastructure to a cloud-deployed agent layer
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Production experience integrating LLM tooling: MCP protocol, function calling, or tool orchestration patterns in a live environment
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Strong system design instincts - you can design, document, and defend an architecture before writing a line of code
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SQL Server at scale - schema design, query optimization, data modeling for high-throughput systems
- Comfortable working alongside a client-side senior engineer as a peer, not under supervision
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Near-native English - daily async and sync communication directly with a US-based technical lead and client stakeholders
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Familiarity with the MCP protocol spec or experience implementing MCP servers/clients
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Angular exposure - the frontend isn't your primary responsibility, but understanding the full stack helps
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Experience integrating agentic or LLM-backed workflows into an existing Java application
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Prior work in environments where you were the primary backend owner with no senior Java peer to lean on
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Build and ship MCP server components
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Design the backend architecture for tool-use and agent orchestration layers integrated into an existing Java/SQL Server stack
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Own the implementation quality - not just writing code, but defining patterns the team can follow
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Collaborate daily with the existing AI Engineer as MCP and agent workstreams intersect
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Contribute to technical decisions with your own perspective - this is a peer relationship, not a directive one
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You're building the layer that matters most - MCP is where enterprise AI is heading. Most engineers haven't implemented it in production yet. You will.
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Peer-level collaboration, not a ticket queue - You work directly with a lead on the project. Small team, no middlemen. Your architecture decisions stick.
- Hard technical problems, real stakes - This isn't a prototype. It's a production system integrating LLM tool-use into an established Java application. The complexity is real and the timeline is tight.
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Visibility from day one - There's no ceiling on what you can contribute.
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$4000 - 5000/month - paid in USD, bi-weekly via Deel
- US Eastern Time hours (EST) - Monday to Friday, 9:00 AM-6:00 PM EST
- Fully Remote - work from anywhere in Latin America
- Long-term contract - starting with a 6-month contract, with potential to extend
- Paid PTO - accrual begins after 3-month trial period
- Referral Program - earn a bonus for referring talent that gets hired
Please send your resume in English.
Include the following depending on your role:
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LinkedIn Profile URL (required)
- GitHub repository or project examples (required)
- Cover Letter - describe a backend system you architected in Java that integrated with an external API or tooling layer, and the hardest design decision you had to make (optional but encouraged)
OneSeven Tech is an AI-enabled software agency headquartered in Miami, with 9 years building AI-driven digital products for scaling and established companies. We specialize in consulting, designing, and developing ROI-focused solutions across 22 industries - from healthcare and legal to real estate and fintech.
Our multidisciplinary team blends AI strategy, UX/UI, web and mobile engineering, and machine learning to deliver real outcomes. With 101+ successful projects completed and a 4.9/5 client rating, we work as a deeply embedded partner - not just a vendor. We operate as a remote-first organization with a global team and a US-based client portfolio.
