Staff Software Engineer, AI Platform

Flex Ltd
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$170,000.0 - $250,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Cursor (Graphical User Interface Elements) Programming Tools Distributed Systems Amazon DynamoDB Fault Tolerance Python (Programming Language) PostgreSQL MySQL Node.Js
+17 more
NoSQL Cloud Services Aws Command Line Interface (CLI) Standard Sql Software Engineering TypeScript AWS Cdk Large Language Models Multi-Agent Systems Amazon Virtual Private Cloud (VPC) Amazon Relational Database Service AI Platforms Cloudflare Functional Programming Api Gateway Terraform Golang

Job description

Flex is looking for a Staff AI Engineer to join our AI Central Team and help us transform the way we work by building the tools and capabilities that support AI-first workflows across Flex.

As a Staff AI Engineer at Flex, you’ll help set technical direction and shape the long-term architecture of the AI systems and tools that all departments use to power their agentic workflows. You will own AI platform features and capabilities end-to-end including analysis, planning, implementation and production rollout to our internal customers. You’ll work closely with your AI Central Team peers and consult with department leads to anticipate business needs and proactively build the AI capabilities to address them. You’ll also play a critical role in mentoring, elevating technical standards, and ensuring the success of our Flex’s transformation into an AI-first organization.

What you’ll do

  • Design, implement, and maintain the agent platform including orchestration, tool execution, sandboxed code runtimes, observability, and the developer-facing SDKs and UI.
  • Design and develop new APIs, SDKs, and developer surfaces that let other teams onboard agents quickly and safely, with strong defaults for evals, guardrails, human-in-the-loop review, and audit.
  • Scale the platform to support a growing catalog of agents, skills, and MCP integrations across Flex while maintaining performance, reliability, and cost efficiency.
  • Continuously improve our daily operations with automation, tooling, design evolution, and observability, including agent-trace visibility, evaluation pipelines, and sandbox runtime monitoring.
  • Work closely with cross-functional teams to identify high-leverage AI use cases and turn them into production-ready agents on the platform.
  • Set the bar for AI-assisted engineering practices and responsible AI use across Flex, mentor engineers on how to design, build, and operate agentic systems, and bring outside innovation back into our roadmap.

Requirements

Do you have experience in Tooling?, * 6+ years of experience in software development or a related field, with at least 2+ years building production AI or agentic systems.

  • Experience in technical leadership, guiding engineering teams through complex projects.
  • Hands-on experience with coding CLIs and AI dev tools (Claude Code, Codex, OpenCode, Cursor, or equivalents) - both as a daily-driver user and as a builder integrating them into team workflows.
  • Experience with agent infrastructure and code-execution sandboxes (Modal, E2B, Cloudflare Sandboxes, Daytona, or Firecracker/gVisor-based runtimes), with a clear point of view on isolation, scaling, and cost trade-offs.
  • Experience building AI-first workflows end-to-end, including LLM application design, prompt and context engineering, RAG, and human-in-the-loop patterns.
  • Experience creating and managing agents and agent platforms, including multi-agent orchestration (LangGraph, custom planners, sub-agent patterns), tool/skill registries, and MCP-based integrations.
  • Experience with eval frameworks and offline/online evaluation of agent quality, plus observability and tracing for non-deterministic systems.
  • Experience with Java, Python, Golang, or TypeScript/Node.js.
  • Strong experience with relational SQL and NoSQL databases, such as MySQL/PostgreSQL/DynamoDB.
  • Experience designing and developing fault-tolerant and scalable distributed systems, including workflow and job-orchestration engines.
  • Experience with AWS cloud services: ECS/EKS, Lambda, API Gateway, VPC, RDS, etc.
  • Infrastructure as code (AWS CLI, AWS CDK/Terraform).
  • Strong communication skills with the ability to understand and explain technical issues to a non-technical audience.
  • Follow engineering best practices as well as propose new ones - especially around responsible AI use, guardrails, and security for agentic systems.
  • Bonus: experience with model and prompt evaluation tooling, secure tool-use sandboxing, retrieval and vector stores, and operating multi-tenant AI platforms at scale.

Benefits & conditions

3.73.7 out of 5 stars United States $170,000 - $250,000 a year - Full-time, Pulled from the full job description

  • Parental leave
  • Health insurance
  • 401(k) matching
  • Vision insurance
  • Dental insurance
  • Relocation assistance
  • Unlimited paid time off, Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.
  • Tier A (NYC/SF/Seattle): $200,000-$250,000 USD
  • Tier B: $180,000-$225,000 USD
  • Tier C: $170,000-$212,000 USD, Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.

Tier 1 (NYC/Bay Area)

$200,000 - $250,000 USD

Tier 2 (Austin, Washington D.C. Philadelphia, Los Angeles, San Diego, Chicago, Atlanta)

$180,000 - $225,000 USD

Tier 3 (SLC, all other USA cities)

$170,000 - $212,000 USD, For full-time U.S. employees we offer:

  • Competitive medical, dental, and vision
  • Company equity
  • 401(k) plan with company match
  • Unlimited paid time off + 13 company paid holidays
  • Parental leave
  • Flex Cares Program: Non-profit company match + pet adoption coverage
  • Free Flex subscription

For full-time non-U.S. employees, we offer:

  • Competitive compensation + company equity
  • Unlimited PTO

About the company

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · WWC Europe 2026

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

2:18 min

Scaling MySQL databases for massive user growth

Johannes Nicolai Johannes Nicolai +1 · LIVE

1:08 min

Building solutions with open source GoLang infrastructure tools

Jad Wahab · LIVE

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · WWC 2025

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all

Related articles

See all