civil engineer

electrical engineer

project engineer

sales engineer

estimation engineer

ai engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Artificial Intelligence (AI) Engineer is a specialist role focused on the engineering, deployment, and scaling of advanced AI systems to drive the Bank&rsquo;s digital and operational transformation. This position is responsible for building the robust technical foundations required for enterprise-grade applications, including Conversational AI agents, operations automation, and Generative AI initiatives. By developing high-performance pipelines and reusable components, you will ensure that AI products are reliable, compliant, and capable of delivering next-generation experiences for both customers and employees.
As the AI Engineer with Deeplight, your responsibilities will include:<ul>
<li>
Building and scaling next-generation Conversational AI platforms (voice and chat) using LLM-based agents and multi-agent orchestration frameworks.</li>
<li>Developing automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer service.</li>
<li>Implementing Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases and knowledge graphs to power enterprise search.</li>
<li>Model Optimization: Design and refine prompts to optimize LLM performance and apply advanced parameter-efficient fine-tuning techniques.</li>
<li>Operationalizing embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management.</li>
<li>Establishing engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience.</li>
<li>Acting as an analytics translator, identifying opportunities for leveraging data to solve complex business problems across functional teams.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
What we need from you:<ul><li><ul>
<li>
Bachelor&rsquo;s degree in a quantitative field (Computer Science, AI, Software Engineering, or Mathematics); a Master&rsquo;s degree in AI/ML is highly preferred.</li>
<li>5+ years in AI/ML engineering or large-scale digital product engineering, ideally within a major digital transformation or digital-only bank project.</li>
<li>Proven experience deploying large-scale AI/ML solutions within a regulated environment (Banking or Financial Services preferred).</li>
<li>Hands-on experience with MLOps tools (MLflow, CI/CD) and data visualization platforms (Tableau, Power BI)</li>
<li>Expert-level programming in Python specifically for ML/AI engineering and Generative AI applications.</li>
<li>Deep knowledge of transformer models, multimodal architectures, and agentic AI systems (multi-agent frameworks/human-in-the-loop).</li>
<li>Expertise in vector databases (Pinecone, Weaviate, Milvus), knowledge graphs, and both SQL/NoSQL systems (Postgres, MongoDB).</li>
<li>Proficiency in Azure AI Foundry or AWS SageMaker, including serverless deployments (Lambda/Azure Functions) and containerization (Docker, Kubernetes).</li>
<li>Deep understanding of LLM evaluation metrics and observability frameworks for monitoring agentic workflows.</li></ul></li></ul> 
It would also be beneficial if you have experience of the following:<ul>
<li>
Ability to quickly build and test AI prototypes while maintaining a focus on enterprise-grade security and compliance.</li>
<li>Active engagement in the AI community with a track record of evaluating emerging tools like LangChain, CrewAI, and Bedrock.</li>
<li>Exceptional communication skills to bridge the gap between technical requirements and business objectives for non-technical stakeholders.</li>
<li>Deep understanding of emerging trends such as Reinforcement Learning from Human Feedback (RLHF) and multimodal AI.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul>
<li>
Competitive salary.</li>
<li>Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li>
<li>Opportunity to work on cutting-edge AI projects.</li>
<li>Career advancement opportunities in a rapidly growing AI company.</li>
</ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

AI Engineer

OneBullEx

<div><div>OneBullEx is transitioning into an AI exchange. As an AI Engineer in our Data &amp; AI department, you will not just manage tools; you will architect the autonomous systems that power our trading ecosystem. You will be responsible for deploying AI agents that can reason, execute code, and manage complex financial workflows with minimal human intervention.</div>
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li><div>Agentic System Development: Architect and deploy multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen to automate exchange operations (e.g., automated risk assessment, fraud detection, and 24/7 liquidity monitoring).</div>
</li><li><div>AI-Driven Software Engineering: Champion the use of Claude Code, OpenAI Codex, and Cursor to build and refactor exchange infrastructure. You are expected to use these tools to achieve a &quot;10x developer&quot; output, maintaining high-performance C++ or Python backends.</div>
</li><li><div>Protocol &amp; API Integration: Implement the Model Context Protocol (MCP) to allow AI agents to securely interact with our internal trading engines, real-time market data feeds, and third-party DeFi protocols.</div>
</li><li><div>Prompt Engineering &amp; Logic Tuning: Design sophisticated &quot;Chain-of-Thought&quot; and &quot;Plan-and-Execute&quot; reasoning paths to ensure agents remain reliable during high-volatility events in the crypto market.</div>
</li><li><div>Internal Tooling: Build custom internal AI dashboards that allow other departments (Risk, Ops, BD, Marketing etc.) to spin up their own specialized &quot;micro-agents&quot; for specific tasks.</div>
</li></ul><h3 class="jobSectionHeader">Candidate Requirements</h3>
<h4 class="jobSectionHeader">Technical Skills (The &quot;Must-Haves&quot;)</h4>
<ul><li><div>Latest AI Tooling: Deep, hands-on experience with Claude Code, Codex, and AI-native IDEs like Cursor.</div>
</li><li><div>Agentic Frameworks: Proven ability to build autonomous agents using LangGraph, AutoAgent, or Semantic Kernel.</div>
</li><li><div>Advanced Prompting: Mastery of ReAct, Few-Shot, and System Persona optimization to reduce hallucination in financial contexts.</div>
</li><li><div>Programming: Proficiency in Python (specifically for AI/ML libraries) and an understanding of Rust or Go (for high-frequency exchange environments).</div>
</li></ul><h4 class="jobSectionHeader">Preferred Background</h4>
<ul><li><div>Crypto/FinTech: Familiarity with futures trading, perpetuals, or blockchain data structures (Web3.js, Ethers.js).</div>
</li><li><div>Security First: Experience in &quot;Red Teaming&quot; AI agents to ensure they cannot be manipulated into unauthorized withdrawals or data leaks.</div>
</li><li><div>Education: Bachelor's or Master's in Computer Science, Mathematics, or a related quantitative field.</div>
</li></ul><h3 class="jobSectionHeader">The OneBullEx &quot;Edge&quot;</h3>
<ul><li><div>AI-Native Environment: We don't just use AI to write emails; we use it to run the exchange. You will have the freedom to experiment with the latest models (Gemini 3, GPT-5, Claude 4.5+) as they launch.</div>
</li><li><div>Competitive Package: Top-tier salary, performance bonuses tied to automation efficiency, and full relocation to the crypto-friendly hub of Dubai.</div>
</li><li><div>Remote Flexibility: While we have a core team in Dubai, we are open to elite talent working remotely in compatible time zones.</div></li></ul></div>

Printerpix

<div><div>Printerpix is a fast-growing e-commerce brand making waves in the online photo printing and personalised gifting sector. Our team is growing rapidly as we expand into new marketing channels and new markets, and we need you to help us achieve our goals. This is your opportunity to join a fast-paced organisation that&rsquo;ll give you the chance to take on responsibility and progress your career quickly. 
</div><div>
At Printerpix, we&rsquo;re there for the milestones and the everyday. From a blanket printed with your family photos, to a photobook full of your greatest moments, bringing joy is what we do best. 
</div><div>
The Role: 
We&rsquo;re looking for a self-starting AI Engineer to join our Dubai team and build the intelligent systems that power our marketing. You&rsquo;ll architect agentic workflows that automate digital marketing across paid search, organic search, email, social media, and affiliate channels, driving measurable e-commerce growth across 9 international markets. This isn&rsquo;t a role where you wait for a ticket. You&rsquo;ll work alongside a small, fast-moving AI team that spots opportunities, prototypes solutions, and ships them. 
</div><div>
What You'll Do:</div><ul><li>
Design and build AI-powered workflows that automate marketing operations across paid search, SEO, email, social, and affiliate channels.</li><li>
Develop multi-agent systems and copilots for campaign planning, content generation, data analysis, and performance optimisation.</li><li>
Integrate AI systems with marketing platforms (Google Ads, Klaviyo, Meta, Search Console) via APIs for real-time data flow and automated decision-making.</li><li>
Build and maintain RAG pipelines connecting AI agents to company knowledge, product catalogues, and performance data.</li><li>
Collaborate with London team to identify and deliver high-impact automation.</li></ul><div>
</div><div>
What We're Looking For:</div><ul><li>
Experience with agentic AI frameworks (CrewAI, LangChain, LangGraph, or similar), you&rsquo;ve designed agents, defined tools, and built multi-step workflows.</li><li>
Hands-on experience building RAG pipelines including embedding models, chunking strategies, and vector databases (Pinecone, Chroma, FAISS).</li><li>
Strong Python skills, you write production code, not just notebook experiments.</li><li>
Experience with LLM APIs (OpenAI, Claude, Gemini, Mistral) including prompt engineering and structured output parsing.</li><li>
Ability to build API integrations and event-driven pipelines connecting marketing platforms and business systems.</li><li>
Understanding of digital marketing channels: Paid Search (Google Ads), SEO, Email Marketing, Social Media, and Affiliate.</li><li>
Self-starter mentality, you identify problems and build solutions without being asked. Show us what you&rsquo;ve built that nobody asked you to build.</li></ul><div>
 
Nice to have: MCP (Model Context Protocol), AI-assisted dev tools (Claude Code, Cursor, Copilot), Docker/CI/CD, e-commerce operations, or marketing platform API experience (Google Ads, Klaviyo, Meta, GA4). 
</div><div>
What You Get:</div><ul><li>
Modern tech stack, Claude Code, Cursor, CrewAI, LangChain, and the latest AI models.</li><li>
Small, high-output team where your ideas ship fast and your contributions are visible from day one.</li><li>
Real impact, AI you build directly drives marketing performance and revenue across 9 markets.</li><li>
Career growth, mentorship, and the opportunity to lead AI initiatives in a multinational enterprise.</li></ul><div>
 
APPLY NOW &mdash; BUILD THE AI THAT POWERS GLOBAL MARKETING 
 
Ahead of your interview, please be prepared to walk us through an AI project you&rsquo;ve built end-to-end, your architecture decisions, and something you built because you saw the opportunity, not because you were asked to.\</div></div>

AI Engineer (Marketing)

ICEYE

<div>Role highlights: 
<ul>
<li>
Role: Forward Deployed AI Engineer</li>
<li>Department: Forward Deployed Engineering</li>
<li>Location: Finland, Sweden, Netherlands, Poland, UAE, Germany (Must be based in-country)</li>
<li>Reports to: VP, Forward Deployed Engineering</li>
<li>Working type: Hybrid (On-site at customer locations 30-50% of time)</li>
<li>Must be eligible and able to attain relevant national and NATO security clearances at the highest level.</li>
</ul>
The Mission of the Forward Deployed AI Engineer
In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You&rsquo;ll deploy ICEYE&rsquo;s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it&mdash;everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations.
Who are we?
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy &ndash; day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, Germany, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation
Day to day responsibilities:
Platform Deployment &amp; Integration<ul>
<li>
Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers).</li>
<li>Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters.</li>
<li>Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools.</li>
Troubleshoot deployment issues in disconnected environments without external internet access. 
<li>
</li>
</ul>AI Solution Development &amp; Customization<ul>
<li>
Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis.</li>
<li>Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks.</li>
<li>Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language.</li>
<li>Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources.</li>
</ul>
Data Fusion &amp; Intelligence Workflows<ul>
<li>
Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT).</li>
<li>Develop automated workflows that correlate and cross-reference information across different data modalities.</li>
<li>Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs.</li>
</ul>
Customer Engagement &amp; Rapid Prototyping<ul>
<li>
Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems.</li>
<li>Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements.</li>
<li>Conduct hands-on training sessions on platform capabilities and AI workflow usage.</li>
<li>Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams.</li>
</ul>
Requirements
Must have skills:<ul>
<li>
3+ years hands-on software engineering building and deploying production systems.
</li><li>Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust.
</li><li>Hands-on experience with LLMs, prompt engineering, and RAG systems.
</li><li>Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases.
</li><li>Experience with Docker and deploying in secure / isolated / air-gapped environments.
</li><li>Practical experience with APIs, data pipelines, and integrating systems in production,</li>
<li>Familiarity with Linux and basic Kubernetes operations.
</li><li>Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture.</li>
<li>Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators.
</li><li>Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
</li>Willingness to travel 40&ndash;60% to customer sites within the region. 
<li>
 
</li></ul>Nice to have skills:<ul>
<li>
Experience in defense, intelligence, or government operational environments.
</li><li>Deploying to on-prem data centers and/or air-gapped networks.
</li><li>Familiarity with geospatial data, satellite imagery, or remote sensing.
</li><li>Experience with MCP integrations, multi-agent systems, or agentic workflows.
</li><li>Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD.
</li><li>Understanding of intelligence analysis workflows and defense/government requirements.
</li><li>Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS).
</li><li>Background in solution engineering, technical consulting, or customer success.
</li><li>Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups).</li>
</ul>
Application process<ul>
<li>
Talent Acquisition Interview</li>
<li>Hiring Manager Interview</li>
<li>Technical Interview (onsite or virtual), including a Technical Challenge</li>
<li>Hiring Team Interview</li>
<li>Offer Decision</li>
</ul>
Benefits
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.<ul>
<li>
Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the &ldquo;why&rdquo; behind decisions.</li>
<li>See the big picture: Stay close to what&rsquo;s happening across the company so you can make better decisions. Consider how your work affects others.</li>
<li>Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.</li>
<li>Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.</li>
<li>Have fun: What we do matters&mdash;and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. 
</li>
</ul>Benefits:
Our benefits are designed to support your health and wellbeing&mdash;at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our commitment to Diversity, Equity and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We&rsquo;re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us&mdash;we&rsquo;ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com</div>

Forward Deployed AI Engineer

Andersen

Andersen is hiring an AI Platform Engineer to enhance a secure cloud-based platform by building scalable AI infrastructure, orchestration, and observability for reliable, intelligent performance.The customer is an international company delivering professional and technology-enabled solutions that support effective collaboration, structured communication, and operational efficiency for organizations. It operates in a fast-growing environment, focusing on scalability, security, and continuous improvement while developing digital platforms used by diverse clients worldwide.The project is focused on enhancing a secure, cloud-based board management platform with intuitive meeting tools, real-time collaboration, and advanced analytics. It also includes building and maintaining scalable AI infrastructure, orchestration patterns, and observability to ensure reliable and intelligent platform performance.Responsibilities: <ul><li>Implementing multi-agent orchestration and tool-calling patterns.</li><li>Building observability infrastructure (tracing, logging, cost tracking).</li><li>Establishing API gateway patterns and runtime consistency.</li><li>Designing failure handling, retry logic, and context routing.</li><li>Enforcing tool schema standards across teams.</li><li>Documenting and evangelizing platform patterns.</li></ul>Must-have: <ul><li>Experience as an AI Platform Engineer, LLM Infrastructure Engineer or in a similar role for 4+ years.</li><li>Solid experience working with LLM system architecture and infrastructure, including multi‑agent orchestration and tool‑calling.</li><li>Practical experience with LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or equivalents).</li><li>Knowledge of major cloud platforms (Azure/AWS/GCP) and distributed systems services.</li><li>Experience with logging, metrics, and tracing tools: OpenTelemetry, Prometheus, Grafana, Elastic, Datadog.</li><li>Strong proficiency in Python or another commonly used ML/infrastructure language.</li><li>Good understanding of API design principles (REST, gRPC), JSON Schema, and OpenAPI specifications.</li><li>Hands‑on experience implementing agent orchestration patterns and tool invocation in high‑load AI environments.</li><li>Level of English &ndash; from Upper-Intermediate and above.</li></ul>Nice to have: <ul><li>Proven ability to build observability infrastructure, including distributed tracing, logging, metrics, and cost tracking.</li><li>Experience designing and implementing API gateway patterns: request routing, version control, unified responses, and runtime consistency.</li><li>Strong understanding of resilience mechanisms such as error handling, retry logic, fallback strategies, and context routing.</li><li>Experience establishing and enforcing tool schema standards across cross‑functional teams.</li><li>Ability to document technical solutions and promote architectural patterns across the organization.</li></ul>Reasons why this job would be interesting to you: <ul><li>Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson &amp; Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..</li><li>The opportunity to change the project and/or develop expertise in an interesting business domain.</li><li>Job conditions &ndash; you can work both fully remotely and from the office or can choose a hybrid variant.</li><li>Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.</li><li>The opportunity to earn an additional up to 1,000 USD per month by participating in the company's activities.</li><li>Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.</li><li>Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).</li><li>Certification compensation (AWS, PMP, etc).</li><li>Referral program.</li><li>English courses.</li><li>Private health insurance and compensation for sports activities.</li></ul>Join us! Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policyhttps://people.andersenlab.com/Job Type: Full-timePay: From AED12,000.00 per monthWork Location: Remote

AI Platform Engineer

Marcura

<div>The Managed Port Calls team requires a Staff AI Engineer to drive AI innovation across our Marcura platform. This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.
The role is hands-on execution&mdash;building production-grade AI systems, mentoring engineers on AI/ML best practices, and selecting appropriate technologies and frameworks. Working closely with product, backend, and data teams, you'll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.
Sample use cases that the role will require to build and manage:
<ul><li>Convert manual processes to fully automated processes</li>
<li>Partially automate processes when full automation is not achievable</li>
<li>Help improve efficiency for both operations team and customers</li>
<li>Reduce the amount of manual (especially repetitive) work mainly for operations team</li>
<li>Predict answers to questions based on an existing historical knowledge base</li>
<li>Predict costs based on historical knowledge</li>
<li>Chat bot style task automation</li>
</ul>
Requirements<ul><li>
Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields</li><li>
Minimum of 8 years of experience in relevant fields including data science and AI
</li></ul>Machine Learning &amp; AI:<ul>
<li>
Experience with LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith
</li><li>Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration</li>
<li>Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management</li>
<li>Proven experience designing, training, and deploying ML models in production environments</li>
<li>Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines</li>
<li>Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).</li>
</ul>
Programming:<ul>
<li>
Strong coding skills in languages such as Python,
</li><li>Good to have programming experience in Java,</li>
<li>Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).</li>
</ul>
Cloud Computing:<ul><li>
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. [Azure is the preference]</li></ul>
Software Development:<ul>
<li>
Understanding of software development life cycle (SDLC) and agile methodologies.</li>
<li>Experience with version control systems (e.g., Git).</li>
</ul>
Data Analysis:<ul><li>
Ability to analyze and interpret complex datasets.</li></ul>
Problem-Solving:<ul>
<li>
Strong analytical thinking to identify and solve operational inefficiencies.</li>
<li>Ability to design and implement AI-driven solutions.</li>
</ul>
Communication:<ul>
<li>
Ability to explain complex technical concepts to non-technical stakeholders.</li>
<li>Strong written and verbal communication skills.</li>
</ul>
Collaboration:<ul>
<li>
Experience working in cross-functional teams.</li>
<li>Ability to collaborate with other developers, data scientists, and business analysts.</li>
</ul>
Benefits<ul>
<li>
Competitive Salary and Bonus: We reward your expertise and contributions.</li>
<li>Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.</li>
<li>Marcura Wellness Zone: We value your work-life balance and well-being.</li>
<li>Global Opportunities: Be part of an ambitious, expanding company with a local touch.</li>
<li>Diverse, Supportive Work Culture: We&rsquo;re committed to inclusion, diversity, and a sense of belonging for all team members.</li></ul></div>

Generative AI Solutions Engineer

BRAIN

<div>About Brain Co.
Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley&rsquo;s leading builders &mdash; including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world&rsquo;s most important institutions - delivering impact on real-world problems.Our progress so far<ul><li>
Automated construction permitting for a sovereign government 80% faster, unlocking $375M+ in value</li><li>
Optimized supply chains for a leading global energy company 30% lower cost, 99% reliability, preventing $100M+ in losses</li><li>
Streamlined hospital patient care across national health systems 40% better outcomes, 80% less admin work</li><li>
Raised a $30M Series A from top investors</li><li>
Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks</li></ul>
At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.
About The Role
As an AI Product Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces to developing scalable back-end systems, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
In This Role, You Will:<ul><li>
Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.</li><li>
Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills.</li><li>
Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.</li><li>
Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.</li><li>
Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.</li></ul>
You Might Thrive In This Role If You:<ul><li>
Are eager to travel to customer locations globally for 6+ months and work directly with SMEs and end-users</li><li>
Minimum 2+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zero</li><li>
Experience with front-end and back-end technologies, microservices, and cloud platforms</li><li>
Experience with modern web tooling such as React, Typescript, RESTful APIs, and database management systems</li><li>
Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges</li><li>
Enjoys working collaboratively with cross-functional teams</li><li>
Thrive in fast-paced environments where priorities or deadlines may compete.</li><li>
Eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done</li></ul>
Nice to Have:<ul><li>
Experience working on on-site engineering projects or in client-facing roles (Forward-Deployed Engineer, Solutions Engineer, Integration Engineer, Sales Engineer, Customer Engineer)</li><li>
Knowledge of Arabic or other regional languages is a plus.</li><li>
Possess a strong foundation in software design principles, data structures, and algorithms</li><li>
Hold a Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Software Engineering, or a related field</li></ul>
Benefits<ul><li>
Competitive salary plus equity</li><li>
Commuter benefits</li><li>
401(k)</li><li>
Medical, Dental and Vision</li><li>
Unlimited PTO</li></ul>
Why Join Us<ul><li>
Ship quickly, iterate constantly and see your work deployed at global scale</li><li>
Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more</li><li>
Accelerate your career with ownership based on impact, not tenure</li><li>
Earn competitive compensation + meaningful equity in a high-growth company</li><li>
Thrive in a culture built on speed, curiosity, and impact</li></ul>
If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.</div>

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