Staff Software Engineer

Staff Software Engineer – Gen AI

If you’re looking to be part of a GenAI start-up, working with some of the brigh...

Location

United Arab Emirates , Dubai

Salary:

40000.00 - 70000.00 AED / Month

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years of experience as an engineer – ideally with exposure to various technologies such as Python, Java, Typescript, React etc.
Compsci background – strong data structures and algorithms
Experience working in a high performing engineering culture or founding experience
Some experience or interest with AI – LLMs, RAG etc.

Job Responsibility

Build high-quality, production-ready code for enterprise customers tackling complex AI problems
Lead the design and building of AI-driven systems with emerging technologies
Work in a tight-knit collaborative squad, interfacing closely with the customer to craft elegant solutions

What we offer

significant equity
unlimited PTO
full medical/dental/vision

Fulltime

Staff Software Engineer, Full-Stack - Enterprise Gen AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform provi...

Location

United States , New York; San Francisco; Seattle

Salary:

248400.00 - 310500.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of experience developing frontend or fullstack applications in a modern tech stack
Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces
Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments
A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms
Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP
A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life

Job Responsibility

Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies
Develop and refine features for Scale’s GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents
Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind
Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences
Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure
Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend
equity
Stock Options

Fulltime

Staff Back End Engineer

Staff Back End Engineer, AI Products – San Francisco – Hybrid Up to $375k Base +...

Location

United States , San Francisco

Salary:

375000.00 USD / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

Several years of software engineering experience building precise and scalable distributed systems with best engineering practices
Experience with Generative AI frameworks and tools (RAG, Langchain, Vector database and other emerging agentic frameworks)
Prior experience delivering impactful Gen-AI products in production
Familiarity with AI/ML use cases such as content generation, summarization or natural language processing (NLP)
Familiarity with integrating third-party AI APIs and services using platforms like OpenAI, Hugging Face, and Anthropic
Ideally you have experience on Vector Databases and Python on the back-end
And TypeScript on the front-end
And experience leveraging external LLMs

Job Responsibility

Act as a leader and steward of engineering best practices, helping to mentor other engineers and develop impactful solutions
Analyze and solve complex problems spanning multiple user personas and workflows
Focus on building and scaling services and user facing web applications
Build customer centric scalable and performant AI-driven applications and features
Develop and maintain scalable data pipelines and ELT processes
Build new data integrations based on established requirements
Perform data analysis to investigate and resolve data issues

What we offer

Equity

Fulltime

Director – Senior Engineering Manager in Enterprise Technology

The Senior Engineering Manager is a senior management level position within Ente...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of relevant leadership and delivery experience in an Engineering focused role with extensive experience in global business, functional and people management
Experience working in Financial Services or a large complex and/or global environment
Exposure to working with AI-assisted software development models, and experience implementing Gen AI use cases
Experience providing leadership for scaled agile release trains preferred
program management experience helpful
Demonstrated ability to influence remote, senior stakeholders including senior business executives
Experience in tracking and monitoring delivery, productivity and organizational health metrics
Experience planning, forecasting and managing technology budgets at team level, including project tracking and governance
Demonstrated systems thinking, critical analysis and design thinking skills
Ability to work in a globally matrixed environment and partner with virtual teams and external partners

Job Responsibility

Lead and manage a set of engineering teams to deliver business and technology value, working with peers and partners. Actively speed up and improve engineering practices ensuring higher levels of productivity and quality
Define and implement the workforce strategy creating an organization of happy, productive, engaged, co-located engineering teams comprised of direct and supplier staff located globally, including workforce planning, hiring, performance and pay management, and exits
Implement career development frameworks and processes for the team, providing coaching, mentoring and development of engineering and related job families
Be a great partner, but also hold your peers (Product, UX, Architecture) accountable for partnering with you in delivery
Actively participate as a stakeholder in Product discussions, providing valuable input on product roadmap and requirements and advocating for initiatives such as technical debt reduction, modernization of technology assets, and improvements in ways of working
Be a strong advocate for and drive the adoption of modern engineering practices including scaled agile, DevOps, CI/CD and automation, and build a culture of engineering and continuous improvement, with a focus on velocity, quality and agility
Stay abreast of domain and industry developments and advocate relevant technology strategies as appropriate, including the use of AI, cloud, data technologies, and third-party products, and drive a culture of innovation
Recommend and evaluate SaaS or third-party products as appropriate and manage existing SaaS and third-party products, licenses and vendor relationships. Work with third party product vendors to design, implement and upgrade risk-compliant, secure, fit for purpose products with the right architecture, infrastructure and monitoring
Develop and implement the technology roadmap and strategy and provide ownership for technology products, working in partnership with the product team, peers, business stakeholders, and technology partners
Build productive relationships with business counterparts and support the execution of key programs working in partnership with business, infrastructure and security teams

Fulltime

New

Staff Software Engineer (Full Stack)

Archer is an aerospace company based in San Jose, California building an all-ele...

Location

United States , San Jose

Salary:

163200.00 - 204000.00 USD / Year

Archer Aviation

Expiration Date

Until further notice

Requirements

At least 4 years of experience in full-stack software development adopting best practices
Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field
Strong proficiency in React ecosystem and modern CSS frameworks
Deep expertise with backend building RESTful APIs and scalable containerized applications through kubernetes or related frameworks
Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure)
Experience with designing data models for custom complex applications
Hands-on experience integrating Gen AI via API and a familiarity with employing RAG in custom applications
Knowledge of visualization technologies such as D3.js, Plotly, Grafana, Superset, or related technologies.
Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams
Clear communication skills that are essential for working across diverse stakeholders

Job Responsibility

Develop scalable full-stack web applications to support engineering, operations, and other stakeholders
Identify, develop, and maintain custom tooling to enable various automated workflows supporting a wide variety of stakeholders
Collaborate with the Data team to build a custom web app to conduct complex data reviews following flight tests
Partner with key engineering stakeholders to iterate on new features and drive adoption
Build and maintain the full-stack of internal AI assistants that includes building MCP servers to safely connect our LLMs to internal data
Manage the CI/CD pipelines and cloud infrastructure required to host internal tools securely
Work directly with internal customers to gather requirements, iterate on UI/UX, and drive adoption of new tools
Mentor a team of engineers working on deploying custom internal tools

Fulltime

This is a Staff-level backend role for a deeply experienced Ruby engineer who wi...

Location

United States , Dripping Springs, Austin

Salary:

150000.00 - 200000.00 USD / Year

Signify Technology

Expiration Date

Until further notice

Requirements

10+ years of professional backend engineering experience
Deep expertise in Ruby (custom frameworks, service-oriented Ruby systems, or similar)
Proven experience owning and evolving large, mission-critical production systems
Strong understanding of API design, system architecture, and data modeling
Comfort modernizing legacy systems with minimal customer impact
Clear technical judgment and ability to articulate architectural trade-offs
Experience influencing technical direction across teams without direct authority
Interest or experience with AI-assisted development tools (Copilot, GPT-based codegen, etc.)
High-ownership mindset and comfort operating in ambiguity

Job Responsibility

Owning backend architecture in a large, long-lived Ruby codebase
Leading legacy-to-modern migrations and service decomposition
Designing scalable APIs, service boundaries, and data models
Driving performance, reliability, and observability improvements
Establishing backend engineering standards, patterns, and review practices
Partnering with frontend and product teams to define clean, durable API contracts
Evaluating and correcting AI-generated Ruby code to prevent architectural drift or subtle bugs
Acting as a technical escalation point and mentoring senior engineers
Influencing long-term modernization roadmap: current system ? next-gen platform (2024) ? deeper backend rebuild (2027)

What we offer

Annual profit sharing
Full medical, dental, and vision coverage
PTO, paid holidays, and flexible remote work
Stretch bonuses aligned with company OKRs
Remote-friendly
optional monthly in-office meetup (Austin area)

Fulltime

Staff Application Engineer, Workplace Technology

The role is part of the IT Function within the broader Mozilla Infrastructure te...

Location

United States; Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

7–10 years of software engineering or automation experience, including experience building scalable systems, integrations and agentic workflows in enterprise environments
Strong software design and development skills in Java, Go, Python, JavaScript/TypeScript (or Apps Script), or equivalent languages
experience with building production-ready services and agentic systems
Deep experience integrating SaaS platforms (collaboration tools, identity systems) using APIs, SDKs, event-driven architectures, and building automation/agent orchestration layers
Familiarity with IAM/SSO (Okta, SAML/OIDC/SCIM), lifecycle automation and securing access across humans and agents
experience embedding governance into automation flows
Proven ability to design for reliability, security, scalability and cost-efficiency
strong experience with observability, metrics and monitoring frameworks for automated/agentic services
Demonstrated ability to lead the technical direction of automation and agentic workflows: build shared libraries, connectors, guide architecture, mentor others, influence cross-team engineering culture
Experience or willingness to work with GenAI/LLM modalities (agent design, prompt management, retrieval + RAG, integrations) and build operational patterns around them (e.g., agent orchestration, trust, guardrails)

Job Responsibility

Architect, develop, and scale automation frameworks, integrations and agentic workflows across Mozilla’s workplace technology ecosystem — including collaboration tools, identity systems (SSO/IAM), and GenAI platforms (OpenAI, Claude, Gemini)
Lead end-to-end engineering of lifecycle workflows (onboarding, off-boarding, access provisioning) using APIs, event-driven architectures and intelligent agentic flows that reduce manual touchpoints and accelerate user access
Build and maintain reusable libraries, connectors, SDKs and agent orchestration layers (e.g., virtual assistants, workflow agents, RAG + retrieval pipelines) that enable faster, safer AI-enabled productivity at scale
Implement observability for agentic workflows and automations: define metrics (SLIs/SLOs), build dashboards, logging, alerts and proactively tune for reliability, security, cost-efficiency and adoption
Partner with Security, Legal, and Privacy to embed DLP, data classification, and least-privilege access into automation and AI flows — ensure agentic capabilities respect governance, auditing, and compliance
Lead evaluation, technical design, and production deployment of new tools and AI productivity platforms: architect integrations, define guardrails, pilot agentic features, measure adoption and user impact
Mentor junior engineers and facilitate collaboration across teams: review design/code, establish best practices for building agentic systems, guide documentation and champion a shared automation culture
Collaborate cross-functionally with IT, Security, Finance, People Ops and Workplace/Facilities to deliver secure, efficient, and scalable internal tools and workflows that empower users and optimize operations
Drive innovation through prototyping next-gen agentic services (for example: intelligent enterprise search assistants, document-to-action bots, contextual collaboration agents) to increase productivity and reduce friction

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Staff Application Engineer, Workplace Technology

The role is part of the IT Function within the broader Mozilla Infrastructure te...

Location

United States; Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

7–10 years of software engineering or automation experience, including experience building scalable systems, integrations and agentic workflows in enterprise environments
Strong software design and development skills in Java, Go, Python, JavaScript/TypeScript (or Apps Script), or equivalent languages
experience with building production-ready services and agentic systems
Deep experience integrating SaaS platforms (collaboration tools, identity systems) using APIs, SDKs, event-driven architectures, and building automation/agent orchestration layers
Familiarity with IAM/SSO (Okta, SAML/OIDC/SCIM), lifecycle automation and securing access across humans and agents
experience embedding governance into automation flows
Proven ability to design for reliability, security, scalability and cost-efficiency
strong experience with observability, metrics and monitoring frameworks for automated/agentic services
Demonstrated ability to lead the technical direction of automation and agentic workflows: build shared libraries, connectors, guide architecture, mentor others, influence cross-team engineering culture
Experience or willingness to work with GenAI/LLM modalities (agent design, prompt management, retrieval + RAG, integrations) and build operational patterns around them (e.g., agent orchestration, trust, guardrails)

Job Responsibility

Architect, develop, and scale automation frameworks, integrations and agentic workflows across Mozilla’s workplace technology ecosystem — including collaboration tools, identity systems (SSO/IAM), and GenAI platforms (OpenAI, Claude, Gemini)
Lead end-to-end engineering of lifecycle workflows (onboarding, off-boarding, access provisioning) using APIs, event-driven architectures and intelligent agentic flows that reduce manual touchpoints and accelerate user access
Build and maintain reusable libraries, connectors, SDKs and agent orchestration layers (e.g., virtual assistants, workflow agents, RAG + retrieval pipelines) that enable faster, safer AI-enabled productivity at scale
Implement observability for agentic workflows and automations: define metrics (SLIs/SLOs), build dashboards, logging, alerts and proactively tune for reliability, security, cost-efficiency and adoption
Partner with Security, Legal, and Privacy to embed DLP, data classification, and least-privilege access into automation and AI flows — ensure agentic capabilities respect governance, auditing, and compliance
Lead evaluation, technical design, and production deployment of new tools and AI productivity platforms: architect integrations, define guardrails, pilot agentic features, measure adoption and user impact
Mentor junior engineers and facilitate collaboration across teams: review design/code, establish best practices for building agentic systems, guide documentation and champion a shared automation culture
Collaborate cross-functionally with IT, Security, Finance, People Ops and Workplace/Facilities to deliver secure, efficient, and scalable internal tools and workflows that empower users and optimize operations
Drive innovation through prototyping next-gen agentic services (for example: intelligent enterprise search assistants, document-to-action bots, contextual collaboration agents) to increase productivity and reduce friction

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Staff Software Engineer – Gen AI

Orbis Consultants

Location:
United Arab Emirates , Dubai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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Job Description:

Job Responsibility:

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Additional Information:

Job Posted:December 11, 2025

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