The Software Engineer will build and own features for the AI-driven matching and screening platform, focusing on data structuring and full-stack development. Collaboration with users and maintaining high quality through testing is essential.
Software Engineer, Platform Location: Remote (US) | Type: Full Time | Experience: 4 to 6+ years | Pay: $140K-$175K
About the Role You'll build the platform that makes Elios faster than everyone else. Prism and Elios Insights handle sourcing, screening, and matching at a scale our team couldn't touch by hand, and you'll own real pieces of it.
This is product engineering with an AI core. You'll work with frontier models through our Anthropic partnership, turn fuzzy matching problems into systems that ship, and watch your work change how the company operates the same week you merge it.
What You'll Do
- Build and own features across our matching and screening platform
- Design AI workflows on top of Claude and other frontier models that stay reliable, fast, and cost-aware
- Turn messy candidate and role data into structured signals the team can act on
- Ship full-stack, from API and data layer to the interfaces our recruiters use daily
- Work directly with the people using the product, since they sit a Slack message away
- Keep quality high with testing that lets us move fast without breaking trust
Qualifications
- 4 to 6+ years building production software, ideally on data-heavy or AI products
- Strong in Python or TypeScript and comfortable across the stack
- Experience putting LLMs or ML models into real applications
- Solid with a modern cloud (AWS, Azure, or GCP) and common data tooling
- You care about the person using the product, not just the architecture
- Happy owning ambiguous problems start to finish
Why Join Us At Elios, AI is our cost engine, not a buzzword. The platform you build is what lets a small team deliver consulting-grade results at staff-augmentation economics. Few engineering roles let you see your impact this directly.
We're remote-first, move quickly, and keep the team small and high-trust. You'll own meaningful work from day one.
To apply, click Apply on LinkedIn and visit eliosai.com/browse-jobs
Similar Jobs
Fintech
Lead full-cycle development of API and web applications, from architecture and design through deployment and support. Collaborate with product, design, and engineering teams to set technical direction, deliver secure and scalable solutions, improve developer productivity, and support Agile delivery. Responsibilities include code reviews, troubleshooting, documentation, observability, automation, quality measurement, and responsible use of AI-assisted development tools.
Top Skills:
Apollo GraphqlChatgptCi/CdClaudeDockerGitGithub CopilotGoogle Cloud PlatformJestNode.jsPostgresReactTypescript
Information Technology • Cybersecurity
Lead modernization of high-throughput cybersecurity detection engines and event pipelines in Go. Own distributed-system reliability, observability, liveness monitoring, load management, schema standards, drift detection, migration validation, and safe cutovers. Provide hands-on technical leadership across teams, set platform direction, write and review production code, and support Sigma-based detection capabilities. Collaborate across a broad stack including Kafka, Temporal, Redis, ClickHouse, Elasticsearch, Kubernetes, cloud platforms, and Ruby on Rails.
Top Skills:
AWSAzureClickhouseElasticsearchGoKafkaKubernetesRedisRuby On RailsSigmaTemporal
Cloud • Security • Software • Cybersecurity • Automation
Own and evolve GitLab’s authorization systems across its Ruby on Rails monolith and next-generation Rust policy engine. Design fine-grained permissions for users, tokens, roles, and AI agents; secure GraphQL and REST APIs; lead feature-flagged rollouts and migrations; improve performance and reliability; and collaborate across authentication, platform, AI, and modular-service teams in a distributed asynchronous environment.
Top Skills:
CedarGoGraphQLGrpcProtocol BuffersRestRubyRuby On RailsRustYamlZanzibar-Style Authorization
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
