Software Engineer
Harmony Intelligence
📍 Remote (Global) 🕔 Full Time
🔄 Rolling Applications
As a Software Engineer at Harmony, you’ll have a unique opportunity to have a big impact! Your work will be multi-faceted, spanning software engineering, product ideation, project planning, applying cutting edge AI research, building customer relationships, and more.
We care more about growth potential than exact skills and experience fit. Our field is always evolving, and we embrace learning as we go. If you meet many of the criteria below but not all of them, we encourage you to apply anyway!
What you’ll be doing:
Brainstorming and prototyping new product ideas
Building secure sandbox environments for testing autonomous agents
Keeping up with and applying ideas from the latest AI research
Interfacing directly with external clients, partners, and research collaborators
Building dangerous capabilities evals in different categories: cybersecurity, model autonomy, and more
Designing scaffolding to let autonomous agents use tools, understand their environment, plan, and use long-term memory
Communicating technical proposals and findings for different audiences
Scaling up infrastructure and making code more efficient
What you bring to the table:
A deep commitment to AI safety
Ability to be flexible and wear multiple hats, context-switching between different roles and responsibilities as needed
Experience building complex software projects across all stages of development: architecture design, prototyping, deployment, and long-term maintenance/debugging
Comfortable with Python fundamentals
Familiarity with basic web technologies: HTTP, HTML, CSS, and JavaScript
Excellent communication and collaboration skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences
Grounding in software engineering best practices, including version control, testing, CI, and documentation
Nice to haves:
Experience with Docker and related tools (e.g. Docker Compose, Kubernetes)
Familiarity with popular Python libraries and frameworks such as Flask and asyncio
Knowledge of common LLM architectures (e.g. GPT, BERT), and experience with fine-tuning and/or prompting LLMs
Experience with data analysis, visualization, and reporting tools (e.g. pandas, Matplotlib, seaborn, Plotly)
Exposure to DevOps / cloud infra services such as AWS, GCP, Azure or similar
Compensation:
Competitive salary based on experience & locale. We believe in paying fairly and rewarding top talent.
Generous stock options that give you a stake in the company's success. Equity from 0.1% to 1%, depending on skills and background.
