Sr AI Engineer

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Tampa, FL, USA
Hybrid
Senior level
Software
The Role
Build and maintain production-grade AI integrations, agentic automations, RAG pipelines, MCP tools, internal tooling, and evaluation harnesses. Write and ship Python, Java, and SQL code; integrate frontier and self-hosted models; troubleshoot AI stack issues; automate AWS infrastructure with DevOps tools; and document, test, review, and report on AI systems and initiatives.
Summary Generated by Built In

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.

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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

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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.

Skills Required

  • Bachelor's degree in Computer Science or a related field, or equivalent work experience
  • 5+ years of hands-on software engineering experience programming and shipping software
  • Proficiency with agentic AI and Retrieval-Augmented Generation
  • Proficiency with relational database management systems, including PostgreSQL or MySQL
  • Proficiency with AWS, Python, Java, and SQL
  • Experience building and maintaining automated test suites
  • Experience with multi-layer architectures and API design and integration
  • Experience building production applications using agentic software development tools
  • Hands-on experience with RAG development
  • Hands-on experience with vector databases and embedding-based retrieval
  • Hands-on experience with MCP development
  • Experience with both frontier AI models and locally hosted models
  • Demonstrated experience improving generative AI system quality through structured iteration
  • Experience using AWS for software development and automation
  • Experience with Ansible and Terraform
  • Strong cross-functional collaboration, communication, analytical, business logic, and problem-resolution skills

Syniverse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Syniverse and has not been reviewed or approved by Syniverse.

  • Fair & Transparent Compensation — Base pay is considered competitive with standard market rates, with some noting it helps offset demanding workloads. Overall pay levels are commonly viewed as solid rather than outlier-high.
  • Retirement Support — 401(k) matching is called out as a strong element of the package. This support strengthens the long-term value of compensation.
  • Healthcare Strength — Comprehensive medical, dental, and vision options are available alongside FSAs. Insurance offerings are often characterized as good parts of the total rewards mix.

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The Company
HQ: Tampa, FL
1,877 Employees
Year Founded: 1987

What We Do

Syniverse is the world’s most connected company, revolutionizing how businesses connect, engage, and exchange with their customers. For decades, we’ve delivered the innovative software and services that transform mobile experiences and power the planet. Our secure global network reaches almost every person and device on Earth. Our communications platform is industry-recognized as the best of its kind. And each year, we process over $35 billion in transactions, revolutionizing how goods and services are exchanged. Which is why the most recognizable brands — nearly every mobile communications provider, the largest global banks, the world’s biggest tech companies, and thousands more — rely on us to shape their future. Thank you for connecting with Syniverse on LinkedIn. Our LinkedIn page is designed to be an environment where members can engage in respectful and encouraging conversation. All comments – whether in agreement or not – are welcomed and encouraged to foster lively conversation. Accordingly, when responding to a post, we ask that you keep your response respectful, and while we may not be able to monitor every post, please be aware that we reserve the right to remove posts and all material deemed inappropriate, at our discretion. This includes, but is not limited to, abusive, threatening, offensive, hateful, derogatory, spam, fraudulent, deceptive, disruptive, and marketing messages and content. Any violation of these rules may result in being banned, at our discretion.

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