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interface engineer

ai engineer

COZMALABS

<p>We are looking for an experienced AI Engineer to develop, implement, and optimize AI models and algorithms. The ideal candidate will have a strong background in machine learning, data science, and software engineering. As a remote AI Engineer, you'll work closely with cross-functional teams to design and deploy AI solutions that address complex challenges and deliver impactful results.</p><p><b>Key Responsibilities:</b></p><ul><li><b>AI Model Development:</b> Design, build, and refine machine learning models and algorithms to solve specific problems.</li><li><b>Data Analysis:</b> Analyze and preprocess large datasets to extract meaningful insights and features for model training.</li><li><b>Collaboration:</b> Work with product managers, data scientists, and software engineers to integrate AI solutions into products and services.</li><li><b>Performance Optimization:</b> Monitor, evaluate, and improve the performance of AI models through rigorous testing and tuning.</li><li><b>Research &amp; Innovation:</b> Stay up-to-date with the latest advancements in AI and machine learning, and apply cutting-edge techniques to our projects.</li><li><b>Documentation:</b> Create and maintain comprehensive documentation for models, algorithms, and workflows.</li><li><b>Support &amp; Maintenance:</b> Provide ongoing support for deployed AI systems, addressing issues and implementing improvements as needed.</li></ul><p><b>Qualifications:</b></p><ul><li><b>Education:</b> Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus.</li><li><b>Experience:</b> Proven experience in AI/ML engineering, with a strong portfolio of projects or publications.</li><li><b>Skills:</b> Proficiency in programming languages such as Python, Java, or C++. Experience with AI frameworks like TensorFlow, PyTorch, or Keras.</li><li><b>Knowledge:</b> Solid understanding of machine learning algorithms, deep learning, natural language processing, and computer vision.</li><li><b>Tools:</b> Familiarity with data manipulation tools (e.g., Pandas, NumPy) and cloud platforms (e.g., AWS, Google Cloud, Azure).</li><li><b>Soft Skills:</b> Excellent problem-solving abilities, strong analytical skills, and effective communication skills. Ability to work independently and manage multiple projects in a remote environment.</li></ul><p>Job Type: Full-time</p>

AI Engineer

Scale AI

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:</p>
<ul>
<li>Creating custom AI applications that will impact millions of citizens</li>
<li>Generating high-quality training data for national LLMs</li>
<li>Upskilling and advisory services to spread the impact of AI</li>
</ul>
<div>We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.</div>
<div>
At Scale, we&rsquo;re not just building AI solutions&mdash;we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we&rsquo;d love to hear from you.</div>
<div><b>
You will:</b></div>
<ul>
<li>Partner with public sector clients to deeply understand their challenges and define AI-driven solutions</li>
<li>Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models</li>
<li>Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets</li>
<li>Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models</li>
<li>Participate in customer engagements, including occasional travel (approximately two weeks per quarter)</li>
<li>Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing</li>
</ul>
<div><b>Ideally you&rsquo;d have:</b></div>
<ul>
<li>A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)</li>
<li>7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.</li>
<li>2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines</li>
<li>Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)</li>
<li>Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets</li>
<li>Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment</li>
</ul>
<div><b>Nice to haves:</b></div>
<ul>
<li>Experience working at a startup, particularly as founding engineer</li>
<li>Experience building and deploying large-scale AI solutions</li>
<li>Strong written and verbal communication skills to operate in a cross-functional team environment</li>
<li>Proficiency in Arabic (if focused on language models)</li>
</ul><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Applied AI Engineer, International Public Sector

Protiviti Middle East Member Firm

<div>
 <p>
  <strong>
   Data Scientist / AI Engineer (Bilingual &ndash; English and Arabic Full Proficiency)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking an experienced Data Scientist / AI Engineer (4+ years overall experience) (Bilingual &ndash; Arabic &amp; English proficient) with deep hands-on expertise in designing and deploying Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) solutions on Microsoft Azure.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The ideal candidate will have prior experience developing Chat-with-Documents or internal enterprise LLM based assistants using Azure OpenAI Service, Cognitive Search, and Azure Machine Learning, ideally within regulated or enterprise environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role involves building and optimizing GenAI-powered internal chatbots that enable employees to query organizational documents, policies, and knowledge bases through natural language queries.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position is based in Doha, with occasional travel to other Middle East client locations as required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ol>
  <li>
   Design and implement GenAI and RAG-based chatbots using Azure OpenAI, Cognitive Search, and Azure ML.
  </li>
  <li>
   Build document ingestion, embedding, and retrieval pipelines for enterprise knowledge sources.
  </li>
  <li>
   Prepare and process multilingual (English&ndash;Arabic) data ensuring quality and semantic accuracy.
  </li>
  <li>
   Deploy and manage AI solutions.
  </li>
  <li>
   Evaluate model accuracy, latency, and hallucination rates with ongoing monitoring.
  </li>
  <li>
   Ensure compliance with Responsible AI and data privacy frameworks.
  </li>
  <li>
   Collaborate with business and IT teams to align solutions with real use cases.
  </li>
  <li>
   Support Presales activities &ndash; Develop point of view and thought leadership documentations, Develop quick AI prototypes, proof-of-concepts (PoCs), and client demos to support business development and pre-sales efforts.
  </li>
  <li>
   Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
  </li>
  <li>
   Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
  </li>
  <li>
   4+ years of experience in AI/ML, with a strong consulting background
  </li>
  <li>
   Proven experience of implementing at least one LLM based solution
  </li>
  <li>
   Must have worked on at least one of the the following use cases types &ndash; Predictive Modeling &amp; Classification , Simulation &amp; Optimization , Recommender Systems , Time Series Forecasting
  </li>
  <li>
   Proven track record in deploying AI solutions on Microsoft Azure
  </li>
  <li>
   Must be bilingual (Arabic and English language proficiency)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Expertise
  </strong>
 </p>
 <ul>
  <li>
   Strong programming skills in Python, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
  </li>
  <li>
   Proficiency in designing end-to-end AI pipelines, integrating ML Models with data sources, business applications; MLOps implementation, including automated model deployment, CI/CD, &amp; monitoring strategies.
  </li>
  <li>
   Hands-on experience in Responsible AI implementation, ensuring fairness, explainability, and ethical AI governance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Industry Experience
  </strong>
 </p>
 <ul>
  <li>
   Prior experience in AI implementation within at least one of the following sectors: Financial Services (Preferred) , Oil &amp; Gas , Manufacturing, Government/Citizen Services , Energy &amp; Utilities, Telecom
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Consulting &amp; Leadership Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong stakeholder management and client engagement skills, with experience in working on AI consulting projects.
  </li>
  <li>
   Pre-sales experience with the ability to build quick PoCs, AI demos, and support business development efforts.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist / AI Engineer - Consultant to Senior Consultant (Arabic Speaker)

<div>
 <strong>
  Job Reference #
  <br/>
 </strong>
 327972BR
 <br/>
 <br/>
 <strong>
  Job Type
  <br/>
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Your role
  <br/>
 </strong>
 Are you an analytic thinker? Do you enjoy creating valuable insights with data? Do you want to play a key role in transforming our firm into an agile and digital organization?
 <br/>
 <br/>
 At UBS, we re-imagine the way we work, the way we connect with each other &ndash; our colleagues, clients and partners &ndash; and the way we deliver value.
 <br/>
 <br/>
 As an AI Business Engineer, you will help design, develop, and deploy AI solutions that enhance operational efficiency, improve user experience, and drive innovation. This role involves close collaboration with cross-functional teams to ensure seamless AI implementation and maintenance.
 <br/>
 <br/>
 We&rsquo;re looking for an AI Business Engineer to:
 <br/>
 <br/>
 <ul>
  <li>
   work with the crew to AI solution design and development to address business challenges.
  </li>
  <li>
   collaborate with software engineers, and domain experts to identify and clarify use cases suitable for AI.
  </li>
  <li>
   transform data into valuable insights that inform business decisions, making use of our internal.
   <br/>
   <br/>
  </li>
 </ul>
 data platforms and applying appropriate analytical techniques.
 <br/>
 <br/>
 <ul>
  <li>
   partner with the crew to develop, train, and apply machine-learning models to make better predictions, automate.
   <br/>
   <br/>
  </li>
 </ul>
 manual processes, and solve challenging business problems.
 <br/>
 <br/>
 <ul>
  <li>
   ensure the quality, security, reliability, and compliance of our solutions by applying our digital.
   <br/>
   <br/>
  </li>
 </ul>
 principles and implementing both functional and non-functional requirements.
 <br/>
 <br/>
 <ul>
  <li>
   understand, represent, and advocate for client needs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your team
  <br/>
 </strong>
 In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You&rsquo;ll be working in the AI Transformation crew in Qatar focusing on driving the adoption of artificial intelligence across the bank to enhance efficiency, decision-making, and customer experiences.
 <br/>
 <br/>
 <strong>
  Your expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   working in agile environments with understanding of agile delivery frameworks and DevOps environments.
  </li>
  <li>
   background in data science, machine learning engineering, or applied research is a significant plus.
  </li>
  <li>
   understanding and ability to apply AI engineering techniques.
  </li>
  <li>
   ability to break down complex problems, analyze data, and develop innovative solutions.
  </li>
  <li>
   flexibility to learn new technologies, frameworks, and methodologies as the field evolves.
  </li>
  <li>
   strong communicator, from making presentations to technical writing.
  </li>
  <li>
   willingness to experiment and think outside the box to push boundaries in AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
 </strong>
 UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.
 <br/>
 <br/>
 We have a presence in all major financial centers in more than 50 countries.
 <br/>
 <br/>
 <strong>
  How We Hire
  <br/>
  <br/>
 </strong>
 We may request you to complete one or more assessments during the application process. Learn more
 <br/>
 <br/>
 <strong>
  Join us
  <br/>
 </strong>
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 <br/>
 <br/>
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 <br/>
 <br/>
 <strong>
  Disclaimer / Policy Statements
  <br/>
 </strong>
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
</div>


AI Business Engineer

<div><div><div><div>Qatar</div>
</div><div><div>Information Technology (IT)
</div></div><div><div>Group Functions
</div></div><div><p><b>Job Reference #</b></p>
<div>327972BR</div>
</div><div><p><b>City</b></p>
<div>Doha</div>
</div><div><p><b>Job Type</b></p>
<div>Full Time
</div></div><div><p><b>Your role</b></p>
<div>Are you an analytic thinker? Do you enjoy creating valuable insights with data? Do you want to play a key role in transforming our firm into an agile and digital organization?
<br>
<br>
At UBS, we re-imagine the way we work, the way we connect with each other &ndash; our colleagues, clients and partners &ndash; and the way we deliver value.<br>
<br>
As an AI Business Engineer, you will help design, develop, and deploy AI solutions that enhance operational efficiency, improve user experience, and drive innovation. This role involves close collaboration with cross-functional teams to ensure seamless AI implementation and maintenance.<br>
<br>
We&rsquo;re looking for an AI Business Engineer to:<br>
<br>
<ul><li>work with the crew to AI solution design and development to address business challenges.</li><li>collaborate with software engineers, and domain experts to identify and clarify use cases suitable for AI.</li><li>transform data into valuable insights that inform business decisions, making use of our internal.</li></ul>
data platforms and applying appropriate analytical techniques.<br>
<ul><li>partner with the crew to develop, train, and apply machine-learning models to make better predictions, automate.</li></ul>
manual processes, and solve challenging business problems.<br>
<ul><li>ensure the quality, security, reliability, and compliance of our solutions by applying our digital.</li></ul>
principles and implementing both functional and non-functional requirements.<br>
<ul><li>understand, represent, and advocate for client needs.</li></ul></div>
</div><div><p><b>Your team</b></p>
<div>In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You&rsquo;ll be working in the AI Transformation crew in Qatar focusing on driving the adoption of artificial intelligence across the bank to enhance efficiency, decision-making, and customer experiences.</div>
</div><div><p><b>Your expertise</b></p>
<ul><li>working in agile environments with understanding of agile delivery frameworks and DevOps environments.</li><li>background in data science, machine learning engineering, or applied research is a significant plus.</li><li>understanding and ability to apply AI engineering techniques.</li><li>ability to break down complex problems, analyze data, and develop innovative solutions.</li><li>flexibility to learn new technologies, frameworks, and methodologies as the field evolves.</li><li>strong communicator, from making presentations to technical writing.</li><li>willingness to experiment and think outside the box to push boundaries in AI.</li></ul>
</div><div><p><b>About us</b></p>
<div>UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.<br>
<br>
We have a presence in all major financial centers in more than 50 countries.</div>
</div><div><p><b>How we hire</b></p>
<div>We may request you to complete one or more assessments during the application process. Learn more</div>
</div><div><p><b>Join us</b></p>
<div>At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.<br>
<br>
We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.</div>
</div><div><p><b>Contact Details</b></p>
<div>UBS Business Solutions SA<br>
UBS Recruiting</div>
</div><div><p><b>Disclaimer / Policy statements</b></p>
<div>UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.</div></div></div></div><div></div>

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:</p>
<ul>
<li>Creating custom AI applications that will impact millions of citizens</li>
<li>Generating high-quality training data for custom LLMs</li>
<li>Upskilling and advisory services to spread the impact of AI</li>
</ul>
<div>As a Software Engineer (Forward Deployed), you&rsquo;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications to solve their most pressing challenges and achieve meaningful impact for citizens.</div>
<div>
At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.</div>
<div><b>
You will:</b></div>
<ul>
<li>Partner with public sector clients to deeply understand their challenges and define AI-driven solutions</li>
<li>Scope and implement comprehensive solutions to ambiguous customer problems</li>
<li>Build and maintain end-to-end web applications using modern frameworks and technologies.</li>
<li>Leverage database systems to manage and query data efficiently</li>
<li>Deploy and manage infrastructure on cloud service environments for scalability and reliability</li>
<li>Build customer facing products and integrate with AI models to deliver intelligent and interactive user experiences</li>
<li>Work cross-functionally with design, product, and data teams to create robust applications</li>
<li>Spend significant time onsite with clients, including traveling up to 1-2 weeks per month as needed</li>
</ul>
<div><b>Ideally you&rsquo;d have:</b></div>
<ul>
<li>A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)</li>
<li>5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in Python, Node, React, Next.js, TypeScript/JavaScript, or similar</li>
<li>Can-do attitude with a good handle on infrastructure and system design</li>
<li>Experience working directly with customers and within customer infrastructure</li>
</ul>
<div><b>Nice to haves:</b></div>
<ul>
<li>Proficient in Arabic</li>
<li>Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role</li>
<li>Experience working cross functionally with operations</li>
<li>Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape</li>
</ul><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Software Engineer (Forward Deployed), International Public Sector

RITS

<p><b>LLM &amp; Multi-Agent Solutions Engineer</b></p><p><b>Role Summary:</b><br/>Build intelligent AI solutions using Large Language Models (LLMs) and multi-agent frameworks for automation, reasoning, and advanced workflows.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop LLM-powered applications using GPT, Llama, Claude, or similar.</li><li>Build multi-agent systems using LangChain, AutoGen, or custom frameworks.</li><li>Integrate LLMs with external tools, APIs, and enterprise systems.</li><li>Optimize prompts, fine-tune models, and manage vector databases.</li><li>Ensure security, compliance, and performance of AI pipelines.</li></ul><p><b>Requirements:</b></p><ul><li>Strong experience in generative AI, LLMs, and prompt engineering.</li><li>Familiarity with LangChain, LlamaIndex, AutoGen, or similar frameworks.</li><li>Proficiency in Python, REST APIs, and cloud AI services (Azure OpenAI, AWS Bedrock, etc.).</li><li>Understanding of embeddings, vector databases (FAISS, Pinecone, Chroma), and RAG.</li><li>Experience with MLOps or AI orchestration tools is a plus.</li></ul><p>Job Types: Full-time, Permanent</p><p>Application Question(s):</p><ul><li>Are you familiar with LangChain, LlamaIndex, AutoGen, or similar frameworks. ?</li><li>What is your expected salary?</li><li>What is your earliest availability to join?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>LLM &amp; Multi-Agent Solutions Engineer: 3 years (Preferred)</li><li>generative AI, LLMs, and prompt engineering: 2 years (Preferred)</li><li>Python, REST APIs, and cloud AI services: 2 years (Preferred)</li></ul>

LLM & Multi-Agent Solutions Engineer

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