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Added 3 hours ago
Senior AI Engineer
Atria Health and Research Institute
Remote, United States
As a Senior AI Engineer at Atria, you will own the design, development, and production deployment of the LLM-powered systems that put AI directly in front of clinicians and members: agentic…
Added 3 hours ago
Forward Deployed Engineer
Arkham Technologies
Remote, United States
Familiarity with AI agents and LLM-based workflows
Added 4 hours ago
Software Engineer - AI & Agentic Systems
Cisco Systems, Inc.
Remote, United States
Create specialized AI models and developer utilities for networking domains, including switch telemetry analysis, network simulation environments, and P4 language development tooling.
Added 4 hours ago
O
Full Stack Developer (Laravel and PHP)
OpenDataJobs
Remote, United States
- $100,000 to $150,000 USD / year
Large language model (LLM) API integration (OpenAI, Anthropic) and prompt engineering
Added 4 hours ago
O
Data Scientist (Databricks, Mosaic AI)
OpenDataJobs
Remote, United States
- $110,000 to $140,000 USD / year
Evaluate model and agent quality with MLflow evaluation, including large language model (LLM) judges, labeled test sets, and human review.
Added 4 hours ago
Sales Strategy & Operations, Enterprise
Bask Health
Remote, United States
Revenue Operations at Bask Health is AI-first and customer-obsessed. Work starts in an LLM to clarify intent and context, moves into research, analysis, and execution, is validated against…
Added 4 hours ago
Senior Field Engineering Operations Partner
Bask Health
Remote, United States
Field Engineering Operations at Bask Health is AI-first and customer-obsessed. Work starts in an LLM to clarify intent and context, moves into operational planning, data analysis, and…
Added 4 hours ago
Head of AI Engineering (Architecture & Agents)
GoOpti B.V.
Remote, United States
6+ years building backend or data systems, including 2+ years shipping LLM-based systems in production - tool use, retrieval, evaluations, agents. You have hit context limits, tool-calling…
Added 4 hours ago
Staff Engineer, Application Security (Remote, US)
Everyday Electric
Remote, United States
AI and agentic security: Define and implement security guardrails for LLM-powered applications, AI agents, coding assistants, and MCP/tool integrations, including identity, permissions,…
Added 4 hours ago
Head of Infrastructure Operations
Runware
Remote, United States
Use AI to accelerate the work: automate runbooks, triage and tooling with LLM-based agents, and expect your team to do the same, so that a small team can run a very large fleet.
Added 4 hours ago
Senior Storage Engineer
Runware
Remote, United States
…and a disk, node or whole site failing is invisible to the developer calling our…
Added 4 hours ago
Senior Security Engineer
Runware
Remote, United States
Use AI to accelerate the work: automate evidence collection, log triage, configuration audits and runbooks with LLM-based agents, so that a very small team can secure a very large fleet.
Added 4 hours ago
AI Developer
Salvo Software
Remote, United States
We are looking for an AI Developer to join and strengthen our AI department. Your core work will be building and operating LLM-powered systems: serving open-source models with Ollama and…
Added 4 hours ago
Expert RAG Engineer
Salvo Software
Remote, United States
Optimize LLM serving with Ollama and llama.cpp: quantization (GGUF), GPU/CUDA tuning, batching, caching, and offline/air-gapped deployments.
Added 4 hours ago
Principal Engineer, Model Performance
Runware
Remote, United States
…benchmarks that prove them, across image, video, audio, 3D and LLM workloads on every GPU generation we…
Added 4 hours ago
Software Engineer (AI Agents)
Fluent, LLC
Remote, United States
You are a builder who ships. You are strong in Python and SQL, you have put at least one LLM-powered application in front of real users, and you know the difference between a demo and a…
Added 8 hours ago
P
Chief Technology Officer
Parallax
Remote, United States
- $220,000 to $300,000 USD / year
Added 9 hours ago
IG
Principal Engineer, Populus.ai and Elevate Platform
IPS Group Inc.
Remote, United States
- $125,000 to $160,000 USD / year
…roles in one: the platform's architect and its lead hands-on developer. You will set the…
Added 10 hours ago
Software Engineer I
Jorie AI
Remote, United States
Experience using AI/ML or LLM tools in real projects.
Added 10 hours ago
Software Engineer II
Jorie AI
Remote, United States
Experience applying AI/ML or LLM tools to production problems.
Added 10 hours ago
Senior Software Engineer
Jorie AI
Remote, United States
AI/ML: Evaluate where AI/ML and LLM tools add real value, and lead their introduction into production.
Added 11 hours ago
AI / ML Developer
Peraton
Remote, United States
Proficiency with LLM development practices including fine‑tuning, RAG integration, prompt engineering, and interaction models for agent workflows.
Added 12 hours ago
FH
Senior Security Architect
First Hawaiian Bank
Remote, United States
- $113,500 to $150,000 USD / year
…learning platforms, model development, large language model (LLM) integrations, and third-party AI services across the Bank’s hybrid technology environment. Identifies and assesses…
Added 1 day ago
Geospatial and Digital Innovation Development Leader
True Environmental
Remote, United States
Evaluate and pilot emerging capabilities, including GeoAI and LLM-assisted data compilation and metadata generation, automated defect and change detection from imagery and point clouds,…
Added 1 day ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
…as model training and evaluation, text-analysis pipelines, LLM fine-tuning, retrieval-augmented generation (RAG) systems, AI agents, and AI opportunity and governance…

Atlassian

Principal Machine Learning Engineer

Remote, United States

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Job details

Apply by: Oct 31, 2027
Posting language: English
Posted: Oct 31, 2026

Original job description

Overview

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Responsibilities

As part of our team, you will play a crucial role in innovating the core intelligence solutions within our DevAI products. Your responsibilities will include (but not limited to) LLM integration, prompt engineering, and developing end-to-end AI features using cutting-edge technologies. You will collaborate closely with a diverse and highly skilled group of scientists and software engineers within our team, as well as with multiple partner teams across the company. Together, we are committed to delivering Atlassian’s world-class developer AI products that will shape the future of software development.

Responsibility

General Responsibilities

These are ongoing or overarching tasks that guide the strategic and collaborative aspects of the role:

Problem Solving: Identify complex challenges and provide creative solutions to advance the capabilities and functionalities of the products.
Collaboration: Work with cross-functional teams, including data scientists and software engineers. Build and maintain sustainable partnerships with team members from various technical backgrounds.
Communication: Communicate technical details effectively to the team and engage in technical discussions to contribute ideas and solutions.
Continuous Learning: Stay updated with the latest research and advancements in machine learning, AI, and relevant technology applications. Apply cutting-edge knowledge and techniques to enhance product innovation and effectiveness.

Daily Responsibilities

These tasks are more routine or technical, involving hands-on activities that need to be performed regularly:

Design and Development: Design LLM based methodology and algorithms tailored to specific product needs.
Data Handling: Perform data preprocessing and feature engineering to improve product inputs and performance.
Evaluation: Conduct experiments to evaluate the performance of products and use a variety of metrics and testing methods to ensure the solutions meet design specifications.
Implementation and Optimization: Implement and optimize machine learning pipelines.
Monitoring and Maintenance the deployed intelligence solutions to ensure they continue to perform accurately and efficiently.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Pay Ranges

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $236,700 - $309,025

Zone B: $213,030 - $278,123

Zone C: $196,461 - $256,491

Qualifications

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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