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ai engineers agentic ai platform

D4 Insight

<div><p><b>Location:</b> Abu Dhabi<br>
<b>Experience:</b> 5+ Years</p>
<h3 class="jobSectionHeader"><b>
Role Overview:</b></h3>
<p>
This role focuses on building scalable Agentic AI platforms for enterprise banking use cases. Engineers will develop orchestration frameworks, AI pipelines, and governance controls supporting production AI systems.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3>
<ul><li>Build multi-agent AI workflows.</li>
<li>Develop LLM pipelines and prompt frameworks.</li>
<li>Implement AI safety, validation, and governance controls.</li>
<li>Support Azure AI integrations and orchestration layers.</li>
<li>Build scalable production AI solutions.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul><li>Python</li>
<li>LangGraph</li>
<li>Agentic AI</li>
<li>Azure AI</li>
<li>Prompt Engineering</li>
<li>APIs &amp; Workflow Automation</li>
</ul>
<p> <b>Apply Now: </b><b>[email protected]</b></p></div>

AI Engineers – Agentic AI Platform

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 6 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Applied Scientist

Systematic

<p></p><div><h1 class="jobSectionHeader"><b>Data and Solutions Engineer - Defence</b></h1>
<h2 class="jobSectionHeader"><b>Abu Dhabi, UAE</b></h2><br>
<p></p>
<p><b>
About the Role</b><br>
Join our UAE Defence Services team and help transform complex military data into actionable insights that support mission-critical decision-making. You will work at the intersection of data engineering, Artificial Intelligence (AI) including agentic, and system integration to deliver operational capabilities across land, maritime, and joint environments.</p>
<p>
Working closely with Defence customers, operators, and internal teams, you will design, implement, and support datadriven solutions within Systematic&rsquo;s SitaWare ecosystem, contributing directly to real-world operational effectiveness.</p><br>
<p></p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Data Integration &amp; Engineering: Ingest, process, and integrate data from multiple sources into unified workflows</li>
<li>Data Transformation &amp; Pipelines: Design and manage pipelines using low/no-code tools, and business logic</li>
<li>AI &amp; Agentic Capabilities: Integrate AI services, including agentic workflows, to automate data processing</li>
<li>System Integration: Configure and integrate systems to enable data exchange across complex architectures</li>
<li>Visualisation &amp; Reporting: Deliver dashboards, reports, and searchable datasets for operational use</li>
<li>Solution Delivery: Support end-to-end delivery of mission-critical C4I solutions within scope, time, and quality</li>
<li>Deployment &amp; Support: Configure, deploy, and provide lifecycle support for operational systems</li>
<li>Stakeholder Engagement: Engage users and stakeholders to capture requirements, drive solutions and adoption</li>
<li>Training &amp; Enablement: Train customers on data and AI tools to ensure effective operational use</li>
<li>Business Development Support: Support proposals, solution scoping, and capture activities, including technical inputs, estimates, and development of demonstrations and PoCs</li></ul><br>
<p></p>
<p><b>
Required Skills &amp; Experience</b></p><br>
<p></p>
<p>
Technical</p>
<ul>
<li>Experience in data engineering, system integration, or similar roles</li>
<li>Familiarity with data integration tools (e.g., Node-RED, Apache NiFi)</li>
<li>Experience with APIs, JSON/XML, and data processing</li>
<li>Exposure to cloud platforms (AWS/Azure)</li>
<li>Understanding of AI/ML services, models and agentic AI concepts</li></ul><br>
<p></p>
<p>
Professional Experience</p>
<ul>
<li>Customer-facing or consultancy experience working with complex stakeholders</li>
<li>Experience delivering solutions in Defence, security, or government environments</li>
<li>Experience working in multi-domain operational contexts (advantage)</li></ul><br>
<p></p>
<p>
Soft Skills</p>
<ul>
<li>Strong problem-solving and analytical skills</li>
<li>Excellent communication and stakeholder engagement capabilities</li>
<li>Ability to work independently and within multidisciplinary teams</li>
<li>Professional presence with Defence customers</li></ul><br>
<p></p>
<p>
Education</p>
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, IT, or related field</li></ul><br>
<p></p>
<p>
Additional Requirements</p><br>
<ul>
<li>Fluent in English; Arabic is a strong advantage</li>
<li>Eligible for UAE security clearance</li>
<li>Willingness to travel within the region and to HQ as required</li></ul><br>
<p></p>
<p><b>
Why Join Us?</b></p>
<ul>
<li>Work on mission-critical Defence systems with real-world impact</li>
<li>Be part of a high-performing, multidisciplinary team</li>
<li>Engage directly with end users and decision-makers</li>
<li>Contribute to cutting-edge capabilities spanning data, AI, and simulation</li>
</ul>
<div><div><div><p><b>Get in touch</b></p>
<div><b>
Greta Renner</b></div>
<div>
Senior Talent Acquisition Consultant</div>
<p></p>
</div></div></div><div></div><div><div><div><div><div>Location:
Abu Dhabi, Abu Dhabi, AE
</div></div></div></div><div><div><div><div>Business Unit: Defence
</div></div></div></div><div><div><div><div>Division: Defence Service Delivery
</div></div></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Get to know us</b></h2><h6 class="jobSectionHeader"><b>
Career in Systematic</b></h6>
<h6 class="jobSectionHeader"><b>Recruitment process</b></h6>
<h6 class="jobSectionHeader"><b>More than software</b></h6>
<h6 class="jobSectionHeader"><b>Our business</b></h6></div></div></div></div><p></p>

Data & Solutions Engineer

Jaheziya

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Design, deploy, and manage scalable AI platforms and MLOps pipelines, ensuring the performance, reliability, scalability, and security of AI systems throughout their lifecycle.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, deploy, and maintain scalable AI platforms and MLOps pipelines.
  </li>
  <li>
   Manage AI infrastructure, deployment, and CI/CD pipelines.
  </li>
  <li>
   Monitor AI systems and machine learning models to ensure performance, reliability, and availability.
  </li>
  <li>
   Ensure the scalability, security, and operational stability of AI platforms.
  </li>
  <li>
   Automate model deployment, monitoring, and lifecycle management.
  </li>
  <li>
   Collaborate with data scientists and software engineers to operate AI solutions.
  </li>
  <li>
   Troubleshoot and optimize AI infrastructure and production environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
  </li>
  <li>
   3&ndash;8 years of relevant experience in AI systems engineering, MLOps, or machine learning platform engineering.
  </li>
  <li>
   Strong experience with Python, Docker, Kubernetes, and cloud platforms.
  </li>
  <li>
   Experience with CI/CD pipelines and machine learning frameworks.
  </li>
  <li>
   Experience managing AI infrastructure and deploying machine learning solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Azure ML, AWS SageMaker, or Vertex AI.
  </li>
  <li>
   Experience with Terraform or other Infrastructure as Code (IaC) tools.
  </li>
 </ul>
</div>


AI Systems & Machine Learning Operations (MLOps) Engineer

Deeplight

<p></p><div><p>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.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
The DevOps Engineer owns the Agentic Workflow Automation (AWA) platform's deployment architecture, infrastructure-as-code (IaC), CI/CD pipelines, and continuous operational reliability. Operating within the AI Centre of Excellence (AICoE) at a Mid-level capacity, this position serves as the primary guardian of the cloud-native infrastructure within the bank's Azure UAE environment. The role ensures that every critical platform component&mdash;ranging from AKS namespaces and KEDA autoscalers to ADLS Gen2 storage lifecycles and firewall configurations&mdash;is entirely automated, secure, and reproducible strictly from code, eliminating manual interventions.</p>
Your responsibilities as the DevOps Engineer include:<ul><li>
Maintaining and governing all AWA Azure infrastructure utilizing Terraform or Bicep, covering multi-namespace AKS clusters, ADLS Gen2 accounts with WORM policies, API Management configurations, private endpoints, and Key Vault instances.</li><li>
Designing and optimising automated Azure DevOps pipelines managing the full lifecycle from container compilation, ACR pushing, and Notary v2 image signing, through to managed infrastructure deployments and validation testing gates.</li><li>
Managing multi-namespace AKS clusters, enforcing strict network policies, pod isolation, workload identities, and KEDA autoscaling rules based on active message queues or consumer lag.</li><li>
Overseeing container registries, enforce mandatory image signing, monitor vulnerability tracking outputs, and maintain admission control validation policies via OPA Gatekeeper.</li><li>
Administering access architectures, managed identity configurations, automated TLS certificate lifecycles, and cryptographic secret rotation schedules within Azure Key Vault.</li><li>
Constructing complex KQL queries and alerting conditions within Azure Monitor and Log Analytics to track service-level SLA breaches, runtime failures, and token utilization thresholds.</li><li>
Implementing platform security configurations, managing private connectivity endpoints, Azure Policy enforcement rules, and enterprise firewall architectures.</li><li>
Defining, implementing, and validating automated disaster recovery failover paths, maintaining target Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for storage accounts and model serving endpoints.</li></ul><br>
<b>
Requirements</b><p><br>
We need you to have:</p><ul><li>
A deep competence in building enterprise-grade, production-ready cloud architectures using infrastructure-as-code platforms (Terraform or Bicep).</li><li>
Technical mastery over Kubernetes (AKS) configuration, including Helm/Kustomize deployment engines, network policies, and cluster admission controls.</li><li>
Practical ability to implement automated horizontal scaling strategies using Kubernetes Event-Driven Autoscaling (KEDA) or equivalent streaming metrics.</li><li>
The capability to manage multi-stage, gated deployment pipelines across multi-environment setups using Azure DevOps or GitHub Actions.</li><li>
A solid understanding of enterprise network routing, including hub-and-spoke VNets, private link endpoints, network security groups, and cloud firewall boundaries.</li><li>
A minimum of 5 years of experience in dedicated DevOps, SRE, or Platform Engineering roles, with at least 2 years explicitly focused on Azure ecosystems.</li><li>
A documented history managing production Kubernetes deployments, implementing automated RBAC, policy layers, and namespace segmentation.</li><li>
Experience writing advanced KQL (Kusto Query Language) expressions to parse logs and feed operational dashboards.</li><li>
Hold a Bachelor's degree in Computer Science, Systems Engineering, or a related technical discipline.</li></ul><p></p><p>
It would also be great if you:</p><p></p><ul><li>
Are proficient with Kubernetes Workload Identity, managed identity architectures, and Azure Key Vault access security profiles.</li><li>
Are familiar with Azure AI Foundry and API Management platforms, specifically controlling token consumption quotas, routing, and rate limits.</li><li>
Are familiar with Azure Event Hubs or Kafka consumer groups, alongside immutable ADLS Gen2 storage structure management.</li><li>
Hold an active Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or Certified Kubernetes Administrator (CKA) designations.</li></ul><br>
<b>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
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.</i><br>
<br>
<i>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.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
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.</i></p></div>

DevOps Engineer

Dizzaract FZ LLC

<p><b>01. ABOUT THE COMPANY</b></p><p><b>Dizzaract</b> is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.</p><p><b>02. ABOUT THE ROLE</b></p><p>GAMED is an AI-as-a-Service (AIaS) platform and a unified operating system for the modern global gamer. We are building the foundational AI infrastructure layer for the global gaming ecosystem, aggregating a player's entire gaming footprint into a single unified identity known as the Gamer Passport. Powered by our proprietary 3-Tier AI Swarm Technology, the platform transforms gaming from a fragmented activity into a structured, financially rewarding career ecosystem. Following massive organic traction of our Telegram MVP (883K+ users), we are scaling toward full Web and Mobile platform launches.We are looking for a hands-on Project Manager who actually builds and delivers things. Not a &quot;strategy only&quot; person. You will own the project delivery lifecycle, manage cross-functional teams, and resolve bottlenecks as we scale from our MVP to mass market platforms.</p><p><b>03. WHO YOU ARE</b></p><ul><li>Product Delivery Owner</li></ul><p>You understand how to take a product from MVP to mass scaling, managing technical launches and full platform rollouts.</p><ul><li>Agile &amp; Performance Driver</li></ul><p>You have proven experience implementing performance management frameworks, especially OKRs, and running Agile/Scrum processes for cross-functional teams.</p><ul><li>Technical Integrator</li></ul><p>You understand modern software development, cloud native architecture, and can coordinate complex integrations with major platforms (Steam, Epic Games, PlayStation, Xbox) via OAuth 2.0 and APIs.</p><ul><li>AI &amp; Gaming Native</li></ul><p>You understand game development, platform infrastructure, and AI products &mdash; particularly AI-as-a-Service and autonomous agent systems.</p><ul><li>Problem Solver</li></ul><p>You switch seamlessly between technical discussions, timeline planning, and product strategy, identifying risks and removing blockers at 11 pm if needed.</p><p><b>04. RESPONSIBILITIES</b></p><ul><li>Project Lifecycle Management</li></ul><p>Own the end-to-end project delivery for the GAMED platform, ensuring full Web and Mobile platform launches.</p><ul><li>Agile Execution</li></ul><p>Run Agile/Scrum processes for cross-functional teams (engineering, AI, product, design) building the Gamer Passport and AIaS platform.</p><ul><li>Platform Integration</li></ul><p>Coordinate and track complex integrations with major gaming platforms (Steam, Epic Games, PlayStation, Xbox) and mobile app stores.</p><ul><li>Timeline &amp; Deliverables</li></ul><p>Manage timelines for our 3-Tier AI Swarm Technology development, cross-platform digital asset marketplace, and subscription monetization rollout.</p><ul><li>Metrics &amp; Reporting</li></ul><p>Track and report on key project metrics, ensuring alignment with our aggressive growth targets (aiming for 15M users by 2028).</p><ul><li>Cross-Functional Leadership</li></ul><p>Identify risks, remove blockers, and facilitate communication across a globally distributed team of AI operators and engineers. Keep ego out, ownership in.</p><p><b>05. REQUIREMENTS</b></p><ul><li>Experience at Big Tech, top startups, or high-growth gaming/AI companies as a Project Manager or Scrum Master.</li><li>You've personally managed the delivery of live products, platforms, or games with 1&ndash;2 million MAU minimum.</li><li>Strong understanding of modern software development life cycles, cloud native architecture, and edge computing.</li><li>Deep knowledge of project management tools (Jira, Confluence) and Agile methodologies, with proven OKR implementation experience.</li><li>Real experience managing projects involving complex databases, frontend frameworks, and AI/LLM integrations.</li><li>Fluent English (C1 level), with the ability to express ideas spontaneously and discuss a wide range of topics with ease.</li><li>Must be located in commutable distance to Abu Dhabi, UAE, or willing to relocate.</li><li>Bachelor's or Master's in CS, Engineering, Business, or related field, or equivalent real-world experience.</li></ul><p><b>06. NICE TO HAVE</b></p><ul><li>Experience scaling a product from MVP to mass market.</li><li>PMP or Agile/Scrum certifications.</li><li>Experience working in fast-paced, AI-first, or gaming environments.</li></ul><p><b>07. WHAT WE OFFER</b></p><ul><li>Real ownership and direct impact on a global AI infrastructure product.</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.</li><li>Exposure to cutting-edge AI, gaming platforms, and digital asset economies.</li><li>Competitive salary with performance-based incentives.</li><li>24 days annual leave, plus public holidays.</li><li>Health insurance.</li><li>Modern office in Yas Creative Hub.</li><li>Continuous learning through real-world problem solving &mdash; not just theory.</li><li>The opportunity to shape what you're working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul><p><b>08. HOW TO APPLY</b></p><p>As part of your application, please share:</p><ul><li>A brief description of a complex digital product or platform you successfully scaled or launched.</li><li>An example of how you implemented OKRs or Agile processes to unblock a struggling cross-functional team.</li><li>Your approach to managing integrations with external APIs or third-party platforms.</li></ul><p>Work Location: In person</p><p>Work Location: In person</p>

Senior Product Manager

<div><p><b>Location:</b> Abu Dhabi<br>
<b>Experience:</b> 5+ Years</p>
<h3 class="jobSectionHeader"><b>
Role Overview:</b></h3>
<p>
We are looking for AI Engineer specializing in Conversational AI, Virtual Assistants, and LLM-powered customer engagement solutions. The role involves building intelligent, context-aware conversational systems for banking environments.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3>
<ul><li>Design chatbot and virtual assistant experiences.</li>
<li>Build conversational workflows and dialogue management systems.</li>
<li>Integrate APIs and backend services.</li>
<li>Develop prompt libraries and response strategies.</li>
<li>Implement LLM evaluation, monitoring, and safety controls.</li>
<li>Ensure regulatory compliance and response quality.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul><li>LLMs &amp; Conversational AI</li>
<li>Prompt Engineering</li>
<li>API Integration</li>
<li>Agentic AI Frameworks</li>
<li>Evaluation &amp; Guardrails</li>
<li>Python</li>
</ul>
<p> <b>Apply Now: </b><b>[email protected]</b></p></div>

AI Engineer – Conversational AI

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