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We’re looking for a Senior AI/ML Engineer who will be working at the intersection of LLMs, real-time signal processing, and enterprise decision-making. This is not a research role or an isolated AI team position. You’ll sit alongside domain engineers as you ship production AI systems to enterprise customers.
This is not the typical AI/ML engineering role. We’re looking for someone who uses AI heavily in their own daily work, has built and shipped features powered by LLMs and autonomous agents, and has strong opinions on what good AI product engineering actually looks like. If your go-to move when facing a complex problem is to reach for an agent pipeline rather than a static script, you’re the kind of engineer we have in mind.
You’ll initially pair with our external AI partners to absorb their work and establish the patterns the broader engineering team will follow. Over time, you become the internal anchor for AI engineering — the person the rest turn to for prompt design, evaluation strategy, model selection, and agent architecture decisions.
We’re looking for a Senior AI/ML Engineer who will be working at the intersection of LLMs, real-time signal processing, and enterprise decision-making. This is not a research role or an isolated AI team position. You’ll sit alongside domain engineers as you ship production AI systems to enterprise customers.
This is not the typical AI/ML engineering role. We’re looking for someone who uses AI heavily in their own daily work, has built and shipped features powered by LLMs and autonomous agents, and has strong opinions on what good AI product engineering actually looks like. If your go-to move when facing a complex problem is to reach for an agent pipeline rather than a static script, you’re the kind of engineer we have in mind.
You’ll initially pair with our external AI partners to absorb their work and establish the patterns the broader engineering team will follow. Over time, you become the internal anchor for AI engineering — the person the rest turn to for prompt design, evaluation strategy, model selection, and agent architecture decisions.
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With over 30,000 customers, including a third of Fortune 500 companies, Tempo is trusted by organizations across the globe to make their workflows work better. We create a suite of integrated solutions for time managemen
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Statistical and ML-based detectors that identify meaningful patterns in portfolio signals — velocity changes, capacity saturation, dependency risks — from CDC event streams and external tool integrations. Not simple threshold alerts; intelligent pattern recognition that knows the difference between noise and a real problem.
An LLM-powered correlation engine that takes raw signals and produces actionable insights with root causes, confidence scores, and evidence chains. Not just “something is wrong” — but “why it’s wrong, what it means, and what you should do about it.”
A translation layer between natural language planning rules (written by portfolio managers) and the structured parameters that drive our Monte Carlo scheduling engine. The LLM interprets intent; the deterministic engine computes schedules. You’ll design how these two layers communicate reliably.
The pipelines that ensure AI outputs are reliable, consistent, and improving over time. Regression suites for prompt changes, A/B testing infrastructure for model updates, confidence calibration — because vibes-based testing doesn’t scale at enterprise scale.
LLM-ready tool specs for domain capabilities (Item Store queries, capacity lookups, scenario simulations) that Tempo AI can discover and invoke at runtime within a hub-and-spoke MCP architecture already in production.
AWS Bedrock , Azure OpenAI, or GCP Vertex AI — we’re running on Bedrock with Claude today.
MCP (Model Context Protocol) or similar tool-use / agentic frameworks.
Anomaly detection, time-series analysis, or statistical signal processing.
Building confidence scoring or calibration systems for AI outputs.
A track record of absorbing work from external partners and making it your own — you know how to inherit an architecture, evaluate its decisions, and improve what you find.
Proficiency in Kotlin or TypeScript alongside Python — our product platform is Kotlin/TypeScript; our AI platform is Python. You’ll work across both.
Monte Carlo simulation, optimization algorithms, or scheduling systems.
Background in portfolio management, project management, or resource planning.
Experience in enterprise SaaS — multi-tenancy, compliance, audit trails.
Contributions to open-source AI/ML projects.
You use AI tools heavily in your own daily work — not as a novelty, but because they make you meaningfully more effective.
You have strong opinions (loosely held) about what makes AI products trustworthy versus impressive-but-fragile.
You’re energized by a space that’s moving fast, and you track model releases, emerging agent frameworks, and new patterns as they happen.
You’re as comfortable writing an Architecture Decision Record as you are writing a prompt.
Impact : Work on meaningful products that empower enterprise users and improve productivity.
Innovation : Be part of a culture that values creativity and innovation, with opportunities to make a real impact.
Collaboration : Join a supportive, collaborative UX team that values openness, communication, and a continuous learning environment.
Growth : Opportunities for professional development, including conferences, courses, and mentorship.
Remote First work environment
Unlimited vacation in most of our locations!!
Great benefits including health, dental, vision and savings plan.
Perks such as training reimbursement, WFH reimbursement, and more.
Diverse and dynamic teams with challenging and exciting work.
An opportunity to have a real impact on our business.
A great range of social activities (both in person and virtual).
Optional in person meet-ups and the ability to travel to our international offices
Employee referral program
And so much more!
Note: As our hiring teams are global, please submit your resume in English only
Apply today to join the Tempo team and help shape the future of enterprise productivity software.
Join us at Tempo Software, where we proudly foster an equal opportunity workplace. We are committed to creating an inclusive culture where all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Tempo Software is a private Atlassian-integrated portfolio-management platform helping teams manage time, resources, budgets, and projects.
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