ai agent developer

Webers Ink IT Architects

We are looking for a highly skilled AI Developer with strong experience in Generative AI and AI Agent systems. The ideal candidate should have hands-on experience building LLM-based applications, autonomous agents, and AI-powered automation workflows.Responsibilities:<ul><li>Design and build AI agents using LLMs (OpenAI, Claude, Qwen, Llama, etc.)</li><li>Develop RAG (Retrieval-Augmented Generation) systems</li><li>Fine-tune and optimize open-source LLMs</li><li>Build multi-agent workflows and tool integrations</li><li>Implement vector databases (Pinecone, Weaviate, FAISS, etc.)</li><li>Deploy AI systems into production</li><li>Work with APIs, embeddings, prompt engineering</li></ul>Required Skills:<ul><li>Strong Python skills</li><li>Experience with LangChain / LlamaIndex / AutoGen / CrewAI</li><li>Understanding of LLM fine-tuning (Hugging face, LoRA, PEFT)</li><li>Experience with AI agent frameworks</li><li>Knowledge of Docker, cloud deployment</li><li>Familiarity with HuggingFace &amp; open-source models</li><li>MAC friendly (optional)</li></ul>Nice to Have:<ul><li>Experience with Ollama or local LLM deployment</li><li>Experience building chatbots or internal AI tools</li><li>Knowledge of vector search systems</li><li>Experience with memory + planning in agents</li></ul>How to apply:Send your resume to info@webersink.com or webersinkit@gmail.comJob Types: Full-time, Part-timePay: From ₹18,000.00 per monthExpected hours: 48 per weekBenefits:<ul><li>Flexible schedule</li></ul>Work Location: In person

Generative AI & AI Agent Developer

Division50

<div><h3 class="jobSectionHeader">About D50 AI</h3>
D50 AI is building the future of AI-powered marketing &amp; business automation. We're a fast-growing startup that combines cutting-edge AI technology with practical business solutions.
We're looking for an exceptional Full-Stack Developer who can take ownership of the entire platform and drive it forward independently.<h3 class="jobSectionHeader">
 The Role</h3>
Position: Full-Stack Developer (Full-Time, Hybrid)
Location: Dubai, UAE
Compensation: Competitive salary + equity
Start Date: Immediate
You'll be the lead developer responsible for:<ul><li>Building and maintaining our multi-engine SaaS platform</li><li>Implementing new features across Lead Gen, Content, and AI Agent engines</li><li>Integrating external APIs (VAPI, HeyGen, Stripe, etc.)</li><li>Deploying and managing production infrastructure</li><li>Working directly with the founder to shape product direction</li></ul>
This is a high-impact role where you'll have full ownership and autonomy.<h3 class="jobSectionHeader">
 Key Responsibilities</h3><h3 class="jobSectionHeader">
Development (70%)</h3><ul><li>Implement new features across all engines</li><li>Build tRPC procedures and frontend UI</li><li>Integrate external APIs (VAPI, HeyGen, Workable, etc.)</li><li>Write database migrations and queries</li><li>Optimize performance and scalability</li></ul><h3 class="jobSectionHeader">
Infrastructure (15%)</h3><ul><li>Deploy to Railway</li><li>Manage environment variables and secrets</li><li>Monitor production health</li><li>Debug and fix issues</li><li>Set up CI/CD pipelines</li></ul><h3 class="jobSectionHeader">
Collaboration (15%)</h3><ul><li>Work directly with founder on product direction</li><li>Document code and architecture</li><li>Review and refactor existing code</li><li>Communicate progress and blockers</li><li>Participate in planning and strategy</li></ul><h3 class="jobSectionHeader">
✅ Must-Have Qualifications</h3>
1.5+ years of full-stack development experience
2+ years working with the exact tech stack listed above (React, TypeScript, tRPC, Drizzle)
3+ years building AI agents or agentic systems
4.Proven experience with complex SaaS platforms (multi-tenant, payments, integrations)
5.Strong portfolio of production applications you've built
6.Excellent English communication (written and verbal)
7.Self-starter who can work independently without constant supervision
8.Problem solver who can debug complex issues across the stack
9.Fast learner who can pick up new APIs and technologies quickly
10.Available full-time (40+ hours/week)<h3 class="jobSectionHeader">
 Nice-to-Have Qualifications</h3><ul><li>Experience with Inngest (background jobs)</li><li>Experience with VAPI or Bland AI (AI calling platforms)</li><li>Experience with HeyGen (AI avatar videos)</li><li>Experience with Stripe Connect (marketplace payments)</li><li>Experience with OpenClaw or Puppeteer (browser automation)</li><li>Experience with LangChain or LangGraph (agent frameworks)</li><li>Experience with MongoDB and MySQL together</li><li>Experience with Railway deployment</li><li>Experience building recruitment/hiring tools</li><li>Experience building content creation tools</li><li>Experience building lead generation tools</li></ul><h3 class="jobSectionHeader">
 What Makes You Stand Out</h3><ul><li>You've built and deployed AI agents in production</li><li>You've worked on multi-engine SaaS platforms before</li><li>You can show us GitHub repos of complex projects you've built</li><li>You have experience with Manus, Cursor, or Claude Code</li><li>You've integrated 10+ external APIs in a single project</li><li>You've managed 200+ database tables in production</li><li>You've built marketplace platforms with payments</li><li>You're comfortable working with both SQL and NoSQL databases</li><li>You can work independently and make architectural decisions</li><li>You're passionate about AI and automation</li></ul><h3 class="jobSectionHeader">
 Automatic Disqualifiers</h3>
We will NOT consider applications if:<ul><li>❌ You don't have AI agent experience</li><li>❌ You haven't worked with our tech stack (React, TypeScript, tRPC, Drizzle)</li><li>❌ You don't answer ALL screening questions</li><li>❌ You provide generic/copy-paste answers</li><li>❌ You can't provide portfolio links</li><li>❌ You're not available full-time</li><li>❌ You can't start within 2 weeks</li><li>❌ You don't have strong English communication skills</li></ul><h3 class="jobSectionHeader">
 Ideal Candidate Profile</h3>
You are:<ul><li>A senior full-stack developer with 5+ years experience</li><li>An AI agent enthusiast who's built autonomous systems</li><li>A fast learner who can pick up new technologies quickly</li><li>A problem solver who thrives on complex challenges</li><li>A self-starter who doesn't need hand-holding</li><li>Passionate about AI and automation</li><li>Excited about startups and high-growth environments</li><li>Available immediately and ready to hit the ground running</li></ul>
You have:<ul><li>Built production SaaS platforms with payments and integrations</li><li>Worked with complex databases (100+ tables)</li><li>Integrated multiple external APIs (10+)</li><li>Built AI agents that make decisions autonomously</li><li>Used AI coding tools (Manus, Cursor, Claude Code, etc.)</li><li>A strong portfolio of projects you can show</li><li>Excellent communication skills (English)</li><li>A growth mindset and hunger to learn</li></ul>
You want:<ul><li>High impact - your work matters</li><li>Autonomy - you own the product</li><li>Growth - become CTO as we scale</li><li>Cutting-edge tech - work with latest AI</li><li>Remote flexibility - work from anywhere</li><li>Equity stake - share in company success</li></ul><h3 class="jobSectionHeader">
 How to Apply</h3>
Send your application to: div@d50.ai
Subject Line: &quot;Full-Stack Developer - [Your Name]&quot;
Include:
1.Answers to ALL 10 screening questions
2.Your resume/CV
3.Links to 3 portfolio projects
4.Links to your GitHub, LinkedIn, and personal website (if any)
5.A brief video introduction (2-3 minutes) explaining:<ul><li>Who you are</li><li>Your experience with our tech stack</li><li>The most complex AI agent you've built</li><li>Why you want to work at D50 AI</li></ul>
Applications without complete answers will be automatically rejected.<h3 class="jobSectionHeader">
 About the Founder</h3>
Soltane is an entrepreneur and AI enthusiast who's building D50 AI to revolutionize marketing &amp; business automation. He's founded a well established marketing, recruitment and sales development company worked with AI agents extensively and uses tools like Manus, Codex, and Claude Code daily. He's looking for a technical partner who can take the platform to the next level.<h3 class="jobSectionHeader">
 Company Stage</h3><ul><li>Stage: Early-stage startup (pre-seed)</li><li>Product: Live in production with paying customers</li><li>Revenue: Growing MRR</li><li>Team: Small (founder + contractors)</li><li>Funding: Bootstrapped (profitable)</li><li>Growth: Expanding rapidly</li></ul><ul><li>Why Join Now?</li><li>Ground floor opportunity - shape the product from day 1</li><li>High equity stake - get in before Series A</li><li>Technical ownership - you own the entire stack</li><li>AI revolution - be part of the agentic automation wave</li><li>Fast growth - company is scaling quickly</li><li>Direct impact - your code affects real customers</li><li>Career acceleration - CTO path within 12 months</li></ul><h3 class="jobSectionHeader">
 Ready to Apply?</h3>
If you meet ALL the requirements and are excited about building AI-powered automation, we want to hear from you!
Apply now: div@d50.ai
Questions? Email us at div@d50.ai
D50 AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Last Updated: February 14, 2026
Job ID: FSDEV-001
Department: Engineering
Reports to: Founder/CEO
Requirements<h3 class="jobSectionHeader">
️ Required Tech Stack Experience</h3><h3 class="jobSectionHeader">
Frontend</h3><ul><li>✅ React 19 (with hooks, context, modern patterns)</li><li>✅ TypeScript (strong typing, interfaces, generics)</li><li>✅ Tailwind CSS 4 (utility-first styling)</li><li>✅ shadcn/ui (component library)</li><li>✅ Wouter (routing)</li></ul><h3 class="jobSectionHeader">
Backend</h3><ul><li>✅ Node.js (Express 4)</li><li>✅ tRPC 11 (end-to-end type safety)</li><li>✅ Drizzle ORM (database queries and migrations)</li><li>✅ Superjson (serialization)</li></ul><h3 class="jobSectionHeader">
Database</h3><ul><li>✅ MySQL/TiDB (relational database)</li><li>✅ MongoDB (document database)</li><li>✅ Complex schema design (200+ tables)</li></ul><h3 class="jobSectionHeader">
Infrastructure</h3><ul><li>✅ Railway (deployment platform)</li><li>✅ AWS S3 (file storage)</li><li>✅ GitHub (version control, CI/CD)</li></ul><h3 class="jobSectionHeader">
APIs &amp; Integrations</h3><ul><li>✅ Stripe (payments, subscriptions, webhooks)</li><li>✅ OAuth (Supabase, Google, GitHub)</li><li>✅ RESTful APIs (integration with external services)</li><li>✅ Webhooks (event-driven architecture)</li></ul><h3 class="jobSectionHeader">
Testing &amp; Quality</h3><ul><li>✅ Vitest (unit and integration testing)</li><li>✅ TypeScript strict mode (type safety)</li><li>✅ Code review (best practices)</li></ul><h3 class="jobSectionHeader">
 CRITICAL REQUIREMENT: AI Agent Experience</h3>
This is non-negotiable. You MUST have hands-on experience with:<h3 class="jobSectionHeader">
Agentic Programming</h3><ul><li>✅ Building autonomous AI agents that make decisions</li><li>✅ LLM integration (OpenAI, Anthropic, etc.)</li><li>✅ Tool calling / Function calling patterns</li><li>✅ Agent workflows (planning, execution, reflection)</li><li>✅ Multi-agent systems (coordination between agents)</li></ul><h3 class="jobSectionHeader">
AI Development Tools</h3>
Experience with at least 2 of these:<ul><li>Manus (AI agent platform)</li><li>OpenClaw (browser automation agents)</li><li>LangChain (agent frameworks)</li><li>AutoGPT / AgentGPT (autonomous agents)</li><li>Cursor / Codex / Claude Code (AI coding assistants)</li></ul>
Benefits<h3 class="jobSectionHeader">
 Compensation &amp; Benefits</h3><ul><li>Competitive salary based on experience</li><li>Equity stake in the company (0.5%-2%)</li><li>Growth opportunity - become lead as company scales</li><li>Cutting-edge tech - work with latest AI tools</li><li>High impact - your work directly affects product success</li><li>Direct access to founder - no bureaucracy</li></ul>
 What We Offer<h3 class="jobSectionHeader">
Technical Growth</h3><ul><li>Work with cutting-edge AI technology</li><li>Build autonomous agents that make real decisions</li><li>Integrate with 20+ external APIs</li><li>Manage complex multi-engine architecture</li><li>Learn from founder with deep AI expertise</li></ul><h3 class="jobSectionHeader">
Career Growth</h3><ul><li>Start as Lead Developer</li><li>Become CTO as company scales</li><li>Equity stake in fast-growing startup</li><li>Direct impact on product direction</li><li>Build and lead team as we grow</li></ul><h3 class="jobSectionHeader">
Culture</h3><ul><li>Fast-paced startup environment</li><li>High autonomy and ownership</li><li>Direct access to founder</li><li>No bureaucracy or politics</li><li>Focus on shipping and impact</li></ul></div>

Full-Stack Developer - AI-Powered SaaS Platform (D50 AI)

RocketDevs

<div>
 
 RocketDevs empowers software engineers by bridging talent with global tech opportunities. We connect skilled developers with innovative projects, fostering an inclusive tech community.
 
 
 
 
 
 We are seeking a
 
 AI Engineer
 
 with a strong focus on
 
 AI systems and agent development
 
 to join our team and work on client projects that leverage modern AI capabilities. This is a
 
 full-time, remote position
 
 focused on building intelligent, scalable backend systems and AI-powered agents for global clients.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain backend systems that power AI-driven applications.
 </li>
 <li>
 Develop and deploy
 
 AI agents
 
 capable of reasoning, planning, tool usage, and multi-step workflows.
 </li>
 <li>
 Integrate Large Language Models (LLMs) and AI APIs (e.g., OpenAI, Anthropic, Hugging Face) into backend services.
 </li>
 <li>
 Build and manage RESTful or GraphQL APIs for AI-powered features.
 </li>
 <li>
 Design data pipelines for storing prompts, embeddings, agent memory, and model outputs.
 </li>
 <li>
 Implement vector search and retrieval systems (e.g., embeddings, RAG pipelines).
 </li>
 <li>
 Optimize AI workflows for performance, cost, and reliability.
 </li>
 <li>
 Handle authentication, authorization, and secure access to AI services.
 </li>
 <li>
 Collaborate in architecture discussions, code reviews, and sprint planning.
 </li>
 <li>
 Explore and implement AI tooling to improve developer productivity and client outcomes.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong software engineering experience with
 
 Python (FastAPI, Flask, Django)
 
 or
 
 Node.js (Express, NestJS)
 
 .
 </li>
 <li>
 Hands-on experience integrating
 
 LLMs or AI APIs
 
 into production systems.
 </li>
 <li>
 Experience building or experimenting with
 
 AI agents
 
 , including:
 </li>
 </ul>
 <ol>
 <li>
 Tool calling / function calling
 </li>
 <li>
 Multi-step reasoning or workflows
 </li>
 <li>
 Agent memory or state management
 </li>
 </ol>
 <ul>
 <li>
 Solid understanding of API design, async processing, and background jobs.
 </li>
 <li>
 Experience with databases such as:
 </li>
 </ul>
 <ol>
 <li>
 SQL (PostgreSQL - PgVector, MySQL)
 </li>
 <li>
 NoSQL (MongoDB)
 </li>
 <li>
 Vector databases (e.g., Pinecone, Weaviate, FAISS, Elasticsearch)
 </li>
 <li>
 Familiarity with Redis or similar caching layers.
 </li>
 </ol>
 <ul>
 <li>
 Experience with Git &amp; GitHub, Docker, and basic CI/CD workflows.
 </li>
 <li>
 Experience with
 
 web scraping and document parsing (HTML, PDFs).
 
 </li>
 <li>
 A
 
 deployed project
 
 (personal or professional) demonstrating an AI-powered backend system or agent is required.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with RAG (Retrieval-Augmented Generation) systems.
 </li>
 <li>
 Familiarity with agent frameworks (e.g., LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen).
 </li>
 <li>
 Experience with embeddings, prompt versioning, and evaluation.
 </li>
 <li>
 Familiarity with
 
 Model Context Protocol (MCP)
 
 or similar standards for connecting AI models to tools, data sources, and environments.
 </li>
 <li>
 Experience building or integrating
 
 automation workflows
 
 for AI systems (e.g., background jobs, task orchestration, event-driven workflows, or tools like Temporal, Airflow, n8n, Zapier).
 </li>
 <li>
 Knowledge of Kubernetes, serverless platforms, or Supabase.
 </li>
 <li>
 Understanding of AI safety, cost optimization, and observability.
 </li>
 <li>
 Familiarity with AI-assisted development tools or platforms.
 </li>
 </ul>
 
 
 
 
 
 Hiring Process
 
 
 
 We ensure a fair and transparent process for every applicant:
 
 
 
 Apply &rarr; Take a Compulsory 30-minute Assessment &rarr; 30-minute Onboarding Interview &rarr; Final interview &amp; selection
 
 
 
 
 
 
 
 Note
 
 
 <ul>
 <li>
 The assessment is mandatory. Please apply only if you&rsquo;re willing to take it.
 </li>
 <li>
 Having a deployed AI-powered backend project (personal or professional) is a must.
 </li>
 </ul>
</div>

AI Engineer (2+ years of Experience)

Brainlake Advertising LLC

<div>Seeking a high-performing Prompt &amp; Agent Engineer (Senior Associate / Manager) to join a fast-paced engagement on-site in Doha, Qatar. This is a 3-month contract, extendable based on performance and project needs.
The primary purpose of the role is to rapidly design, build, and deploy AI agents and prompt-engineered solutions for different use cases. You will work hands-on with large language models &mdash; particularly Google Gemini &mdash; to develop production-ready agents that automate workflows, enhance citizen services, and drive operational efficiency across certain initiatives<ul>
<li>
Agent Development - Design, build, and deploy AI agents using Google Gemini and related frameworks to automate workflows and service delivery processes</li>
<li>Prompt Engineering - Craft, test, and optimize advanced prompts and prompt chains to maximize LLM output quality, accuracy, and reliability for production use cases
</li><li>Rapid Prototyping - Quickly build functional prototypes and MVPs of AI-powered tools, iterating fast based on stakeholder feedback and real-world testing</li>
<li>Integration and Orchestration - Connect AI agents with APIs, databases, and existing government systems using orchestration tools such as LangChain, Vertex AI Agent Builder, or similar frameworks</li>
<li>Evaluation and Testing - Develop evaluation benchmarks, test suites, and guardrails to ensure agent outputs are accurate, safe, and aligned with compliance requirements</li>
<li>Knowledge Transfer - Document agent architectures, prompt libraries, and best practices. Support internal teams in adopting and maintaining deployed solutions</li>
<li>Stakeholder Collaboration - Work closely with project leads, solution architects, and government stakeholders to translate business requirements into AI agent specifications and deliverables</li>
</ul>
Requirements<ul>
<li>
3-5 years of hands-on experience in AI/ML engineering, prompt engineering, or agent development with a strong bias for speed and execution</li>
<li>Demonstrated experience building agents and applications using Google Gemini (required), with familiarity in Vertex AI, Gemini API, and Agent Builder</li>
<li>Strong programming skills in Python with experience in LLM orchestration frameworks (LangChain, Llama Index, or equivalent)</li>
<li>Experience with RAG architectures, function calling, tool use, and multi-agent systems</li>
<li>Ability to work on-site in Doha, Qatar for the full engagement duration (3 months, extendable)</li>
<li>Fast learner who thrives under pressure with a ship-fast, iterate-fast mentality</li>
<li>Public sector or government consulting experience is a plus (Arabic is a plus)</li>
<li>Google Cloud or AI-related certifications are a bonus</li></ul></div>

Prompt and Agent Engineer

Lucidya | لوسيديا

<div>
 
 About Lucidya
 
 
 
 Lucidya is a fast-growing SaaS company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.
 
 
 We are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience - securely, responsibly, and at scale.
 
 
 
 Role Overview
 
 
 
 As an AI Engineer, you will be responsible for designing, building, and deploying intelligent AI agents that solve real business problems. You will work at the intersection of machine learning, deep learning, and production AI, turning advanced models into reliable, scalable systems used by enterprise customers.
 
 
 This role goes beyond experimentation - you will help take AI from concept to production, ensuring performance, ethical compliance, and real-world impact.
 
 
 You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value
 
 
 What You'll Do
 
 
 
 AI &amp; Agent Development
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI Agents
 </li>
 <li>
 Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected
 </li>
 <li>
 Research and optimise the way we do things
 </li>
 <li>
 Contribute to the development of the Lucidya AI Agent platform
 
 
 </li>
 </ul>
 
 Production &amp; Scalability
 
 
 
 <ul>
 <li>
 Deploy AI models into production environments with a focus on scalability, performance, and reliability
 </li>
 <li>
 Collaborate on MLOps practices to support continuous integration, monitoring, and improvement
 </li>
 <li>
 Ensure AI systems integrate smoothly with existing platforms and workflows
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with software engineers, product managers, and domain experts
 </li>
 <li>
 Translate business problems into effective AI solutions with measurable outcomes
 </li>
 <li>
 Contribute to solution design for enterprise solutions and long-term deployments
 
 
 </li>
 </ul>
 
 Governance &amp; Quality
 
 
 
 <ul>
 <li>
 Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations
 </li>
 <li>
 Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders
 </li>
 <li>
 Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we're looking for
 
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building and deploying AI-driven systems, with a proven track-record of achieving business value from AI agents - not just using self-serve frameworks like n8n
 </li>
 <li>
 Strong programming skills in Python (Java is a plus)
 </li>
 <li>
 Hands-on experience with machine learning and deep learning techniques
 </li>
 <li>
 Practical experience using TensorFlow, OpenAISDK or similar frameworks
 </li>
 <li>
 Experience deploying AI models into production or production-like environments
 </li>
 <li>
 Strong understanding of AI evals and guardrails
 
 
 </li>
 </ul>
 
 Problem-Solving &amp; Mindset
 
 
 
 <ul>
 <li>
 Ability to analyze complex problems and design innovative AI-driven solutions
 </li>
 <li>
 Strong systems thinking, understanding how models behave in real-world environments
 </li>
 <li>
 Curiosity and commitment to continuous learning in a fast-evolving AI landscape
 </li>
 <li>
 Proactivity is key - not just a task doer
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Comfortable working in cross-functional, product-driven teams
 </li>
 <li>
 Able to clearly document and explain technical concepts to diverse stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NLP, conversational AI, or agent-based systems
 </li>
 <li>
 Exposure to enterprise AI deployments or SaaS platforms
 </li>
 <li>
 Familiarity with MLOps, monitoring, and model lifecycle management
 </li>
 <li>
 Experience working with multilingual or Arabic language data
 
 
 </li>
 </ul>
 
 Why Join Lucidya's AI Agents Team?
 
 
 
 <ul>
 <li>
 Work on real, enterprise-grade AI agents, not just experiments
 </li>
 <li>
 Shape a new business unit from the ground up
 </li>
 <li>
 Solve meaningful CX and operational challenges across the MENA region
 </li>
 <li>
 Collaborate with a highly skilled AI, data, and product team
 </li>
 <li>
 Build AI that is responsible, scalable, and impactful
 </li>
 </ul>
</div>

AI Engineer (mid-level/senior)

Lucidya

<div><h3 class="jobSectionHeader">About Lucidya</h3>
Lucidya is a fast-growing SaaS company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.
We are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience - securely, responsibly, and at scale.<h3 class="jobSectionHeader">
Role Overview</h3>
As an AI Engineer, you will be responsible for designing, building, and deploying intelligent AI agents that solve real business problems. You will work at the intersection of machine learning, deep learning, and production AI, turning advanced models into reliable, scalable systems used by enterprise customers.
This role goes beyond experimentation - you will help take AI from concept to production, ensuring performance, ethical compliance, and real-world impact.
You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value
What You&rsquo;ll Do
AI &amp; Agent Development<ul>
<li>
Design, develop, and optimize AI Agents
</li><li>Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected</li>
<li>Research and optimise the way we do things</li>
<li>Contribute to the development of the Lucidya AI Agent platform</li>
</ul>
Production &amp; Scalability<ul>
<li>
Deploy AI models into production environments with a focus on scalability, performance, and reliability.</li>
<li>Collaborate on MLOps practices to support continuous integration, monitoring, and improvement.</li>
<li>Ensure AI systems integrate smoothly with existing platforms and workflows.</li>
</ul>
Cross-Functional Collaboration<ul>
<li>
Work closely with software engineers, product managers, and domain experts</li>
<li>Translate business problems into effective AI solutions with measurable outcomes.</li>
<li>Contribute to solution design for enterprise solutions and long-term deployments.</li>
</ul>
Governance &amp; Quality<ul>
<li>
Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations.</li>
<li>Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders.</li>
<li>Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable.</li>
</ul>
Requirements<h3 class="jobSectionHeader">
What we&rsquo;re looking for</h3>
Technical Skills<ul>
<li>
3+ years of hands-on experience building and deploying AI-driven systems, with a proven track-record of achieving business value from AI agents - not just using self-serve frameworks like n8n</li>
<li>Strong programming skills in Python (Java is a plus).</li>
<li>Hands-on experience with machine learning and deep learning techniques.</li>
<li>Practical experience using TensorFlow, OpenAISDK or similar frameworks.</li>
<li>Experience deploying AI models into production or production-like environments.</li>
<li>Strong understanding of AI evals and guardrails
</li></ul>Problem-Solving &amp; Mindset<ul>
<li>
Ability to analyze complex problems and design innovative AI-driven solutions.</li>
<li>Strong systems thinking, understanding how models behave in real-world environments.</li>
<li>Curiosity and commitment to continuous learning in a fast-evolving AI landscape.</li>
<li>Proactivity is key - not just a task doer
</li></ul>Collaboration &amp; Communication<ul>
<li>
Comfortable working in cross-functional, product-driven teams.</li>
<li>Able to clearly document and explain technical concepts to diverse stakeholders.</li>
</ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul>
<li>Experience with NLP, conversational AI, or agent-based systems.</li>
<li>Exposure to enterprise AI deployments or SaaS platforms.</li>
<li>Familiarity with MLOps, monitoring, and model lifecycle management.</li>
<li>Experience working with multilingual or Arabic language data.</li>
</ul><h3 class="jobSectionHeader">
Why Join Lucidya&rsquo;s AI Agents Team?</h3><ul>
<li>Work on real, enterprise-grade AI agents, not just experiments.</li>
<li>Shape a new business unit from the ground up.</li>
<li>Solve meaningful CX and operational challenges across the MENA region.</li>
<li>Collaborate with a highly skilled AI, data, and product team.</li>
<li>Build AI that is responsible, scalable, and impactful.</li></ul></div>

Ericsson

<div><div><div><div><h2 class="jobSectionHeader">Join our Team</h2>
</div><div>
About this opportunity: 
Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. If you&rsquo;ve ever thought &ldquo;GenAI can do way more in Telecom than chatbots&rdquo; &mdash; this role is for you. We&rsquo;re building production-grade GenAI systems, AI agents, and enterprise copilots for Telecom OSS/BSS platforms&mdash;automation, intelligence, and decisioning at scale. No demos. No fluff. Real systems, real impact.
What you will do: 
MCP-based applications and tools integrated with enterprise systems 
Building GenAI Agents 
RAG pipelines over network, service, customer &amp; operational data 
Scalable Python services &amp; APIs powering GenAI workloads 
Optimized SLMs for cost-efficient, low-latency deployment 
Training of SLM/LLM based on domain requirements.
The skills you bring: 
Statistics, Machine Learning Fundamentals, Deep learning expertise. 
Feature Engineering &amp; Model Selection. 
Strong Python with hands-on ML / NLP and GenAI Agent development E2E experience (production grade not experimentation. 
Experience in Training of LLM/SLM models and changing the network Architecture. 
Track record of delivering business value in real production grade GenAI Agent. 
Solid experience with LLMs, embeddings, retrieval systems and agent orchestration frameworks. 
Proven expertise building GenAI copilots, persona-based agents. 
Hands-on experience developing applications using MCP. 
Experience with production grade cloud-native ML deployments. 
Hands on experience in either of AWS Bedrock or GCP Vertex AI.
Good to have: 
Strong academic background. 
Experience in having journals &amp; patents(US/India). 
Telecom OSS/BSS domain ( business and data ) knowledge. 
Experience in reasoning , knowledge graph. 
Awareness of AI risk, observability, explainability &amp; responsible AI. 
Bonus: experience with Databricks, Snowflake, DataRobot, or similar AI platforms.</div></div></div></div>

Data Scientist

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