Sr AI Engineer at Syniverse

Job description

Syniverse is the world’s most connected company. Whether we’re developing the technology that enables intelligent cars to safely react to traffic changes or freeing travelers to explore by keeping their devices online wherever they go, we believe in leading the world forward. Which is why we work with some of the world’s most recognized brands. Eight of the top 10 banks. Four of the top 5 global technology companies. Over 900 communications providers. And how we’re able to provide our incredible talent with an innovative culture and great benefits. Who We re Looking For Syniverse is scaling AI capability across the company, and this role is responsible for turning that strategy into working, production-grade systems. The Sr AI Engineer takes the patterns and standards set by the AI Architect and implements them as integrations, agentic automations, internal tooling, and the evaluation harnesses that measure whether each capability is actually performing as intended. This is a hands-on-keyboard role. The engineer will spend most of their time writing code, debugging integrations, and shipping capability that colleagues across the company use daily. - Some of What You ll Do Job Description: · Design, build, and maintain AI-powered integrations, agentic automations, and internal tooling on Syniverse s AI stack (Azure OpenAI, Claude Enterprise, and self-hosted models on AWS/EKS behind the Bifrost AI Gateway). · Develop production-grade Retrieval-Augmented Generation (RAG) pipelines and Model Context Protocol (MCP) servers/tools that connect internal data and systems to LLMs. · Build and maintain evaluation harnesses and test suites that measure model and system quality, catch regressions and drift, and report objectively on whether a given AI capability is working. · Take architectural patterns and standards defined by the AI Architect and turn them into working, supported, production systems — not just proof of concept. · Write, test, and ship code (primarily Python, Java, and SQL) implementing new AI capability and integrations end to end. · Debug and troubleshoot issues across the AI stack — API layers, the AI gateway, model endpoints, and downstream integrations — including root-cause analysis of production issues. · Evaluate tradeoffs between frontier LLMs and locally hosted models (e.g., Qwen, Gemma) and select the model best suited to a given requirement based on cost, latency, accuracy, and data sensitivity. · Use agentic software development tools (Claude Code preferred; Codex or Cursor as viable alternatives) to build and ship production applications. · Automate deployment, infrastructure, and operational tasks using DevOps tooling such as Ansible and Terraform, primarily on AWS. · Create design documentation for new integrations and automations, and maintain operational runbooks for systems in production. · Review code, designs, and evaluation results from peers to ensure accuracy, completeness, and adherence to requirements and standards. · Partner cross-functionally across business units to gather requirements, integrate AI capability into existing workflows, and support adoption. · Report on the status, metrics, and outcomes of AI initiatives to stakeholders and leadership. Required Experience and Education: · Bachelor s degree in Computer Science or a related field, or equivalent work experience. · 5 years of software engineering experience — direct, hands-on experience programming and shipping software, not just prompting or “vibe coding.” · Proficiency with Agentic AI & RAG (Retrieval Augmented Generalization). · Proficiency with Relational DBMS (Postgres, MySQL). · Proficiency with AWS, Python, Java, and SQL. · Experience building and maintaining automated test suites. · Experience with multi-layer architectures and API design/integration. AI & Agentic Development: · Experience building production applications (not just proofs of concept) using agentic software development tools — Claude Code preferred; Codex or Cursor are viable alternatives. · Direct experience with Syniverse s AI tech stack, or equivalent: Azure OpenAI; Claude Enterprise; AWS with the Bifrost AI Gateway and self-hosted models on EKS (e.g., Qwen, Gemma). · Hands-on experience with RAG (Retrieval-Augmented Generation) development. · Hands-on experience with vector databases and embedding-based retrieval (pgvector, FAISS, Pinecone, or equivalent) · Hands-on experience with MCP (Model Context Protocol) development. · Direct experience with both frontier AI (LLMs) and locally hosted models, including a working understanding of the tradeoffs and the ability to identify the right model for a given requirement. · Demonstrated experience improving the quality of a generative AI system through structured iteration. Infrastructure & Cloud: · Experience using AWS as a platform for software development and automation. · DevOps background, including experience with Ansible and Terraform is preferred. Professionalism: · Ownership and accountability for tasks and projects. · Strong cross-functional collaboration skills across the organization. · Comfortable reporting on status and metrics to stakeholders. · Works well within a team environment; excellent oral and written communication skills. · Independent work habits with a proven ability to deliver quality software on time. · Acts with a sense of urgency and maintains composure in a stressful environment. · Strong analytical, business logic, and problem-resolution skills. #LI-Hybrid - Why You Should Join Us Join us as we write a new chapter, guided by world-class leadership. Come be a part of an exciting and growing organization where we offer a competitive total compensation, flexible/remote work and with a leadership team committed to fostering an inclusive, collaborative, and transparent organizational culture. At Syniverse connectedness is at the core of our business. We believe diversity, equity, and inclusion among our employees is crucial to our success as a global company as we seek to recruit, develop, and retain the most talented people who want to help us connect the world. Know someone at Syniverse? Be sure to have them submit you as a referral prior to applying for this position. Pay Transparency In accordance with applicable pay transparency requirements, Syniverse will provide information regarding the salary range or compensation for this position during the recruitment process and prior to any compensation discussions.

Requirements

Must-haves

Who We re Looking For
This is a hands-on-keyboard role. The engineer will spend most of their time writing code, debugging integrations, and shipping capability that colleagues across the company use daily. -
Some of What You ll Do
Design, build, and maintain AI-powered integrations, agentic automations, and internal tooling on Syniverse s AI stack (Azure OpenAI, Claude Enterprise, and self-hosted models on AWS/EKS behind the Bifrost AI Gateway).
Develop production-grade Retrieval-Augmented Generation (RAG) pipelines and Model Context Protocol (MCP) servers/tools that connect internal data and systems to LLMs.
Build and maintain evaluation harnesses and test suites that measure model and system quality, catch regressions and drift, and report objectively on whether a given AI capability is working.
Take architectural patterns and standards defined by the AI Architect and turn them into working, supported, production systems — not just proof of concept.
Write, test, and ship code (primarily Python, Java, and SQL) implementing new AI capability and integrations end to end.
Debug and troubleshoot issues across the AI stack — API layers, the AI gateway, model endpoints, and downstream integrations — including root-cause analysis of production issues.
Evaluate tradeoffs between frontier LLMs and locally hosted models (e.g., Qwen, Gemma) and select the model best suited to a given requirement based on cost, latency, accuracy, and data sensitivity.
Automate deployment, infrastructure, and operational tasks using DevOps tooling such as Ansible and Terraform, primarily on AWS.
Create design documentation for new integrations and automations, and maintain operational runbooks for systems in production.
Review code, designs, and evaluation results from peers to ensure accuracy, completeness, and adherence to requirements and standards.
Partner cross-functionally across business units to gather requirements, integrate AI capability into existing workflows, and support adoption.
Report on the status, metrics, and outcomes of AI initiatives to stakeholders and leadership.
Bachelor s degree in Computer Science or a related field, or equivalent work experience.
5 years of software engineering experience — direct, hands-on experience programming and shipping software, not just prompting or “vibe coding.”
Proficiency with Agentic AI & RAG (Retrieval Augmented Generalization).
Proficiency with Relational DBMS (Postgres, MySQL).
Proficiency with AWS, Python, Java, and SQL.
Experience building and maintaining automated test suites.

Nice-to-haves

Use agentic software development tools (Claude Code preferred; Codex or Cursor as viable alternatives) to build and ship production applications.
Experience building production applications (not just proofs of concept) using agentic software development tools — Claude Code preferred; Codex or Cursor are viable alternatives.
DevOps background, including experience with Ansible and Terraform is preferred.

Application prep

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Platform: workday
Effort: long