A junior to mid-level developer role working in an Agile environment to enhance existing web properties and develop new web solutions using C#, .NET, and modern frontend frameworks.
Compensation
$70K – $100K + Excellent benefits
Responsibilities
Enhance existing web properties and applications
Develop new web solutions
Work within an Agile team environment
Work on robust, complex, impactful financial applications
Collaborate with Senior engineers and Architects in a remote environment
Senior Backend Engineer focused on building and shipping machine learning and computer vision systems into production environments.
Responsibilities
Design, build, and maintain scalable backend systems using Elixir and Python
Develop and support production systems that integrate machine learning or computer vision capabilities
Build and maintain infrastructure for real-world applications such as object detection, people or vehicle detection, cross-camera tracking, and video analytics
Collaborate with engineering and product teams to bring ML/CV capabilities into reliable production environments
Own technical decisions, implementation, testing, and deployment as a hands-on individual contributor
Lead projects or major workstreams involving multi-disciplinary design, development, data analysis, programming, prototyping, integration, testing, or transition activities.
Apply extensive technical expertise to solve complex problems and evaluate alternative approaches.
Influence technical approach towards mission research, systems/subsystems, architecture design and integration.
Structure and manage execution of ambiguous work, translating objectives into actionable technical plans.
Mentor others within the Group, reviewing work and providing constructive feedback.
Requirements
Bachelor’s degree in a STEM discipline or other relevant technical field
Master’s degree
PhD
Nice to have: Translation of research concepts into working prototypes
Backend engineer responsible for building and maintaining AI-driven development infrastructure, CI/CD, security, and developer platform tools at Mirage.
Responsibilities
Ship features alongside product engineers across video creation software, rendering engine, and developer platform
Turn insights into tools, agents, and streamlined workflows
Rebuild CI/CD to support high change volume
Make deployments safe with progressive rollouts and automated rollback
Own environments for coding agents, including sandboxes and tooling
Design and build the AI layer of a software product, defining how the system reasons, coordinates multi-step tasks and interacts with users. The work covers agentic workflows, model integrations, evaluation and reliability, and close partnership with frontend and backend engineers.
Locations (3)
San Diego, California, United States
Los Angeles, California, United States
San Francisco Bay Area, California, United States
Compensation
Salary: $160K - $250K
Responsibilities
Build multi-step agent workflows that track state, propose actions and carry tasks through to completion.
Link language models to external functions, stored context and lookup layers that span mixed data sources.
Safeguard sensitive information and design fallback behavior for failed tools, incomplete inputs and unreliable model outputs.
Principal Software Engineer (Cortex Vulnerability Experience Platform)
Voyant is seeking a hands‑on Staff Engineer, Backend Engineering to play a key role in building and evolving our core server platform.
Compensation
Compensation: The Base Salary range for this position is between $180,000-$220,000. This position will also be eligible for additional variable incentive compensation and competitive benefits.
Responsibilities
Hands‑On Development – Design, build, and maintain backend systems, APIs, and services.
Technical Leadership – Serve as the go‑to technical leader for the team, guiding design decisions and setting engineering standards.
Mentorship – Mentor and support junior developers, providing guidance, feedback, and technical coaching.
Architecture & Design – Contribute to and help shape scalable, secure, and maintainable system architecture.
Code Quality – Lead code reviews and promote best practices across the codebase.