electrical engineer

project engineer

mechanical engineer

qa/qc engineer

civil engineer

backend engineer

Fuse Energy

<div>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. 
 
We&rsquo;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. 
 
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
Responsibilities
In this role you will work closely within product to build the core digital infrastructure for a next-generation energy company. You will use your experience to engineer backend infrastructure that is second-to-none.
You'll be working across the back-end:<ul><li>
Constructing a real-time digital twin of our renewable generation and customer demand</li><li>
Developing messaging interfaces with our third-party providers</li><li>
Building high-volume pipelines for processing customer energy consumption</li><li>
Build the backend of a world class energy app</li></ul>
For this role, you should be able to think on your feet and adapt to new business needs as well as take ownership of projects and drive change. 
Requirements 
<ul><li>
Demonstrable excellence as a Software Engineer</li><li>
Ideally 2+ years experience</li><li>
Proven ability to define and build complex systems</li><li>
Hands-on experience shipping highly-available production systems</li><li>
Clear communication</li></ul>
Bonus<ul><li>
Experience with infrastructure as code (e.g. AWS CDK)</li><li>
Experience in the Energy sector</li><li>
Experience shipping consumer-facing products</li></ul> 

Benefits 
<ul><li>
Competitive salary and an equity sign-on bonus</li><li>
Biannual bonus scheme</li><li>
Fully expensed tech to match your needs</li><li>
Paid annual leave</li><li>
Breakfast and dinner allowance for office based employees</li></ul></div>

Senior/Lead Backend Engineer

<div>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. 
 
We&rsquo;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. 
 
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. 
 
We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. 
 
Responsibilities<ul><li>
Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)</li><li>
Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows</li><li>
Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms</li><li>
Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing</li><li>
Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts</li><li>
Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space</li>
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively 
<li>
</li></ul> 
 
Requirements 
<ul><li>
Minimum 3 years of engineering experience</li><li>
Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning</li><li>
Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)</li><li>
Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production</li><li>
Solid understanding of cloud technologies, containerisation and building scalable AI applications</li><li>
Ability to integrate AI/ML models into real-world applications, focusing on usability and performance</li><li>
Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment</li><li>
Experience working with large datasets, particularly in relation to demand and supply forecasting</li></ul>
Bonus<ul><li>
Experience or strong interest in energy markets and trading strategies</li><li>
Understanding of weather forecasting, energy demand patterns, and production modelling</li><li>
Exposure to Natural Language Processing (NLP) or other related fields</li></ul> 

Benefits 
<ul><li>
Competitive salary and an equity sign-on bonus</li><li>
Biannual bonus scheme</li><li>
Fully expensed tech to match your needs</li><li>
Paid annual leave</li><li>
Breakfast and dinner allowance for office based employees</li></ul></div>

Applied AI Engineer

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

What You'll Do
<ul>
<li>Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements</li>
<li>Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability</li>
<li>Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients</li>
<li>Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>Proven experience in backend development: TS/Node (required)</li>
<li>Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers</li>
<li>Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact</li>
<li>Preferred: Experience with Docker and containerized deployments</li>
<li>Preferred: Proficiency in deploying high availability applications on Kubernetes</li>
</ul>
What We Offer
<ul><li>A dynamic environment where your contributions shape the company and its products</li>
<li>A team that values innovation, intuition, and drive</li>
<li>Autonomy, fostering focus and creativity</li>
<li>The opportunity to have a significant impact in a revolutionary industry</li>
<li>Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture</li>
<li>The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more</li>
<li>An active role at the intersection of artificial intelligence and audio &ndash; a rapidly evolving tech domain</li>
</ul>
Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Platform - Dubai, United Arab Emirates

GSSTech Group

<div>We are seeking an experienced Data Engineer with strong expertise in Python, Microservices Architecture, Data Transformation, and Backend Engineering to join our Data Engineering team. The ideal candidate will be responsible for designing and developing scalable backend services, data processing frameworks, RESTful APIs, and data transformation pipelines that support enterprise data-driven applications.
This role requires strong hands-on experience with Python-based web frameworks, database technologies, ETL pipelines, microservices, API security, and modern software engineering practices. Candidates should have experience building production-grade applications with a focus on scalability, reliability, security, and performance. 
Requirements 
Key Responsibilities<ul><li>Design, develop, and maintain scalable backend applications and web frameworks using Python.</li><li>Build robust RESTful APIs and microservices to serve enterprise datasets and business applications.</li><li>Develop and optimize data transformation pipelines to process, clean, enrich, and prepare data for analytics and business consumption.</li><li>Design and implement scalable data access layers integrating multiple relational and NoSQL databases.</li><li>Collaborate with frontend developers to integrate user-facing components with backend services.</li><li>Ensure applications are secure, highly available, performant, and maintainable.</li><li>Design and maintain database schemas and data models aligned with business requirements.</li><li>Implement ETL processes for extracting, transforming, and loading large-scale datasets.</li><li>Optimize database performance, query execution, and data retrieval mechanisms.</li><li>Troubleshoot production issues and implement scalable solutions for long-term platform stability.</li><li>Participate in code reviews, testing activities, technical design discussions, and engineering best practices.</li><li>Work closely with business stakeholders, architects, and engineering teams within Agile delivery environments.</li></ul>
Required Technical Skills
Python Development<ul><li>Strong hands-on experience in Core Python development.</li><li>Expertise in building backend services and APIs using Python.</li><li>Strong understanding of object-oriented programming principles and software design patterns.</li><li>Experience writing clean, reusable, maintainable, and production-quality code.</li></ul>
Web Frameworks &amp; API Development
Strong experience with one or more Python frameworks including:<ul><li>FastAPI</li><li>Flask</li><li>Django</li><li>Pyramid</li></ul>
Experience with:<ul><li>RESTful API design and development</li><li>API versioning and documentation</li><li>Routing and middleware implementation</li><li>Authentication and authorization</li><li>Framework testing and debugging</li></ul>
Microservices Architecture<ul><li>Strong experience designing and developing microservices-based applications.</li><li>Deep understanding of distributed systems architecture.</li><li>Experience building scalable and resilient service-oriented platforms.</li><li>Knowledge of service communication patterns and API orchestration.</li><li>Experience handling concurrent requests and high-volume transaction processing.</li></ul>
Asynchronous Programming<ul><li>Strong understanding of asyncio and asynchronous programming concepts.</li><li>Experience handling concurrent connections and non-blocking operations.</li><li>Knowledge of performance optimization for I/O-intensive applications.</li></ul>
Security &amp; API Protection<ul><li>Strong understanding of API and microservices security best practices.</li><li>Experience implementing:</li></ul><ul><li>
OAuth 2.0</li><li>
JWT Authentication</li><li>
API Gateway integrations</li><li>
Encryption and secure communication protocols 
<ul><li>Experience implementing authentication, authorization, and access control mechanisms.</li></ul></li></ul>
Database &amp; ORM Expertise<ul><li>Strong experience with relational and NoSQL databases.</li><li>Experience designing database schemas and optimizing database performance.</li><li>Strong proficiency with:</li></ul><ul><li>
SQL</li><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li></ul>
Hands-on experience with ORMs including:<ul><li>SQLAlchemy</li><li>Django ORM</li></ul>
Ability to:<ul><li>Define models</li><li>Perform CRUD operations</li><li>Write optimized queries</li><li>Handle transactions</li><li>Manage database migrations</li></ul>
Data Engineering &amp; Transformation<ul><li>Experience building and maintaining ETL pipelines.</li><li>Strong understanding of data transformation, enrichment, aggregation, and cleansing techniques.</li><li>Experience ensuring data quality, consistency, and integrity.</li><li>Ability to support analytical and data-driven applications through scalable processing frameworks.</li></ul>
DevOps &amp; CI/CD<ul><li>Experience building and maintaining CI/CD pipelines.</li><li>Experience deploying and supporting production-grade applications.</li><li>Understanding of infrastructure automation and modern software delivery practices.</li><li>Experience with release management and deployment workflows.</li></ul>
Big Data &amp; Data Technologies
Exposure to technologies such as:<ul><li>Hadoop</li><li>Apache Spark</li><li>Apache Kafka</li></ul>
Understanding of:<ul><li>Data Warehousing concepts</li><li>Distributed data processing</li><li>Enterprise data architectures</li></ul>
Version Control &amp; Development Practices<ul><li>Strong experience with Git version control.</li><li>Experience with:</li></ul><ul><li>
Branching strategies</li><li>
Code reviews</li><li>
Pull Requests</li><li>
Merge conflict resolution</li><li>
Collaborative development workflows</li></ul>
Testing &amp; Debugging<ul><li>Experience with:</li></ul><ul><li>
Unit Testing</li><li>
Integration Testing</li><li>
Logging</li><li>
Monitoring</li><li>
Performance Troubleshooting</li><li>
Production Support</li></ul>
Nice to Have<ul><li>Experience with AWS, Azure, or GCP.</li><li>Experience with Docker and Kubernetes.</li><li>Exposure to cloud-native architectures.</li><li>Knowledge of data governance, compliance, privacy, and security standards.</li><li>Experience supporting large-scale enterprise data platforms.</li></ul>
Required Competencies<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management capabilities.</li><li>Strong collaboration and teamwork skills.</li><li>Ability to work effectively in Agile/Scrum environments.</li><li>Strong ownership mindset with attention to detail.</li><li>Ability to document solutions and communicate technical concepts clearly.</li></ul>
Education
Bachelor&rsquo;s Degree in Computer Science, Information Technology, Engineering, Data Engineering, or a related field.</div>

Data Engineer - Python & Microservices

Splash Software

<div>Role Overview
We are seeking a Senior Front-End Engineer with deep expertise in Next.js 16+ to architect and deliver high-performance, secure, and scalable web applications. The ideal candidate has 5+ years of effective front-end experience working on complex, production-grade systems and demonstrates strong ownership of architecture, performance, and browser-level behavior.
Core Responsibilities
<ul><li>Architect and develop large-scale applications using Next.js 16+ (App Router).
</li><li>Design systems and reusable component libraries aligned with accessibility and scalability standards.
</li><li>Implement modern rendering strategies (static, dynamic, streaming, PPR).
</li><li>Leverage Cache Components (&quot;use cache&quot;), revalidateTag(), updateTag(), and cache invalidation strategies effectively.
</li><li>Optimize navigation and prefetching strategies (layout deduplication, incremental prefetch).
</li><li>Integrate and optimize RESTful APIs with proper caching, error handling, and data consistency.
</li><li>Apply advanced browser performance optimization (hydration control, critical rendering path, reflow/repaint minimization).
</li><li>Ensure security best practices across Server and Client Components (XSS, CSRF, auth boundaries, RSC attack surface awareness).</li><li>
Collaborate with backend and DevOps teams on CDN, edge runtime, and caching-layer strategies.
</li><li>Lead code reviews, mentor engineers, and define engineering standards.
</li></ul>Required Technical Expertise
<ul><li>Next.js 16+
</li><li>App Router architecture</li><li>
React Server Components (RSC)</li><li>
Client/Server boundary management (use client)
</li><li>Server Actions
</li><li>Advanced SEO techniques
</li><li>Cache Components (&quot;use cache&quot;)
</li><li>Data cache control (revalidateTag, updateTag)
</li><li>Streaming &amp; Suspense
</li><li>Partial Prerendering (PPR)
</li><li>Route groups, parallel routes, loading/error boundaries
</li><li>Proxy model (proxy.ts)
</li><li>Edge vs Node runtimes
</li><li>Advanced state management
</li></ul>React &amp; TypeScript
<ul><li>Advanced React patterns
</li><li>Hooks, context, composition patterns
</li><li>React Compiler awareness
</li><li>Strong TypeScript typing patterns for large codebases
</li></ul>Performance &amp; Tooling
<ul><li>Bundlers and build optimization
</li><li>Bundle analysis &amp; performance profiling
</li><li>Hydration debugging &amp; mismatch resolution
</li><li>Web Vitals optimization
</li><li>Lazy loading &amp; code splitting strategies
</li></ul>Browser &amp; Web Fundamentals
<ul><li>Deep understanding of:
</li><li>Event loop &amp; task queues
</li><li>Rendering lifecycle (layout, paint, compositing)
</li><li>Memory management
</li><li>Network layers &amp; HTTP caching
</li><li>Accessibility (WCAG compliance)
</li><li>Modern CSS architecture &amp; scalable styling systems
</li></ul>Security
<ul><li>Secure RSC boundaries
</li><li>API layer protection
</li><li>Secure headers &amp; CSP
</li><li>Authentication/authorization flows
</li><li>Awareness of framework-level vulnerabilities and patch management
</li></ul>Experience Requirements
<ul><li>Minimum 5 years professional front-end development experience
</li><li>Proven involvement in complex, high-traffic, or mission-critical applications
</li><li>Demonstrated ownership of architectural decisions and performance improvements
</li><li>Experience building and maintaining design systems in production
</li></ul>Preferred
<ul><li>Familiarity with distributed caching strategies (CDN, edge caching)
</li><li>CI/CD and deployment optimization experience
</li><li>Backend familiarity (Node.js, NestJS or similar)
</li></ul>If you tick all the boxes and this sounds like your kind of challenge, drop your details below. We're looking for our next frontend superstar.</div>

Senior Front-End Engineer

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - Dubai, United Arab Emirates

Cohere

<div>
 
 Who are we?
 
 
 
 Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
 
 
 We&rsquo;re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
 
 
 We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
 
 
 We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!
 
 
 
 About North
 
 
 
 North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
 
 
 Why This Role?
 
 
 This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients&rsquo; engineering teams, you&rsquo;ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
 
 
 We&rsquo;re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You&rsquo;ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
 
 
 
 Note: between 20 - 40% travel anticipated
 
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
 </li>
 <li>
 Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
 </li>
 <li>
 Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
 </li>
 <li>
 Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
 </li>
 <li>
 Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
 </li>
 <li>
 Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
 </li>
 <li>
 Travel up to 20&ndash;40% to work on-site with customers and partners
 
 
 </li>
 </ul>
 
 You May Be a Good Fit If
 
 
 
 <ul>
 <li>
 You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
 </li>
 <li>
 You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
 </li>
 <li>
 You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
 </li>
 <li>
 You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
 </li>
 <li>
 You&rsquo;re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
 </li>
 <li>
 You have experience owning the full scope of a use case end-to-end
 </li>
 <li>
 You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
 
 
 </li>
 </ul>
 
 It's a Bonus If You Have
 
 
 
 <ul>
 <li>
 Experience setting architectural standards for AI and agentic systems across distributed teams
 </li>
 <li>
 Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
 </li>
 <li>
 Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
 </li>
 <li>
 Experience with enterprise security, compliance, or auditability requirements for AI systems
 
 
 </li>
 </ul>
 We are open to candidates currently based in the Middle East or who are open to travelling or relocating.
 
 
 
 Full-Time Employees At Cohere Enjoy These Perks
 
 
 
 <ul>
 <li>
 A weekly lunch stipend of $75/&pound;75 or equivalent in your local currency for lunch.
 </li>
 <li>
 Full health and dental benefits, including a separate budget for mental health.
 </li>
 <li>
 RRSP matching, 401K, Pension Scheme.
 </li>
 <li>
 100% Parental Leave top-up for up to 6 months, for either parent.
 </li>
 <li>
 Annual enrichment benefits:
 
 
 </li>
 </ul>
 Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.
 
 
 Education &amp; learning stipend for conferences, courses, and coaching.
 
 
 <ul>
 <li>
 6 weeks of paid vacation (30 working days!)
 </li>
 <li>
 Budget for traveling to other offices if you are remote, plus an annual company offsite.
 
 
 </li>
 </ul>
 
 How And Where We Work
 
 
 
 <ul>
 <li>
 Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
 </li>
 <li>
 For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
 </li>
 <li>
 For those not near an office: a co-working benefit so you can work alongside others in your city.
 </li>
 <li>
 Everyone receives a $500 home office stipend to set up your workspace properly.
 
 
 </li>
 </ul>
 If any of the above doesn&rsquo;t line up exactly with your experience, we still encourage you to apply.
 
 
 We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
 
 
 We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
</div>

Forward Deployed Engineer, Agentic Platform

Explore 284+ Backend engineer in Dubai this July. Find roles across top companies and apply now to boost your career.