intelligence agent

MVP Application and game design L.L.C

Role OverviewWe are looking for a highly skilled AI Agent &amp; Routing Engineer to design, build, and scale intelligent AI systems powered by LLMs. This role focuses on developing AI agents, orchestration layers, and routing logic that enable dynamic decision-making across multiple tools, models, and workflows.You will work on cutting-edge systems including AI agents, tool-use frameworks, multi-model routing, and MCP-based architectures, helping us build next-generation AI products.Key ResponsibilitiesAI Agents &amp; Orchestration<ul><li>Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks</li><li>Implement tool-calling systems (APIs, functions, plugins, external services)</li><li>Build multi-step agent workflows with memory, context handling, and retries</li></ul>AI Routing Systems<ul><li>Develop intelligent AI routers that dynamically select:</li><li>Models (GPT, open-source, etc.)</li><li>Tools / APIs</li><li>Execution paths</li><li>Optimize routing based on latency, cost, and task complexity</li><li>Build fallback and failover logic across models and services</li></ul>MCP &amp; Integration<ul><li>Implement and integrate MCP (Model Context Protocol) for structured tool interaction</li><li>Design scalable agent-tool communication pipelines</li><li>Connect AI systems with internal and external services</li></ul>LLM Engineering<ul><li>Work with LLM APIs and frameworks (OpenAI, open-source models, etc.)</li><li>Implement prompt engineering, structured outputs, and guardrails</li><li>Handle context windows, embeddings, and retrieval workflows</li></ul>Backend Development<ul><li>Build scalable backend services using Node.js or Python</li><li>Design APIs for agent orchestration and routing</li><li>Ensure performance, reliability, and observability</li></ul>RequirementsMust-Have<ul><li>Strong experience in JavaScript (Node.js) or Python</li><li>Experience building AI agents or LLM-powered applications</li><li>Understanding of:</li><li>Function/tool calling</li><li>Prompt engineering</li><li>Multi-step workflows</li><li>Experience with AI routing / orchestration logic</li><li>Familiarity with MCP (Model Context Protocol) or similar architectures</li></ul>Nice to Have<ul><li>Experience with frameworks like:</li><li>LangChain / LlamaIndex / custom agent frameworks</li><li>Knowledge of:</li><li>Vector databases (Pinecone, Weaviate, etc.)</li><li>RAG systems</li><li>Experience with multi-model systems (OpenAI + open-source)</li><li>DevOps experience (Docker, cloud deployment, scaling AI workloads)</li></ul>What You&rsquo;ll Build<ul><li>AI agent systems that think, decide, and act autonomously</li><li>Smart routers that choose the best model/tool per request</li><li>MCP-based ecosystems connecting AI to real-world tools</li><li>Production-grade AI infrastructure used by thousands of users</li></ul>Ideal Candidate<ul><li>Thinks like a system designer, not just a coder</li><li>Obsessed with AI architecture and performance optimization</li><li>Can turn vague ideas into working intelligent systems</li><li>Comfortable working in fast-moving, experimental environments</li></ul>Why Join Us<ul><li>Work on cutting-edge AI systems (agents, routing, orchestration)</li><li>High ownership and impact on core product architecture</li><li>Opportunity to shape the future of AI products in the region</li></ul>Job Type: Full-timePay: AED4,000.00 - AED5,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Agent &amp; Routing Engineer: 1 year (Required)</li><li>Software Development: 3 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

AI Agent Developer

FocusKPI Inc.

<div>We are seeking an Agentic AI Engineer to support the development of a customized AI agent solution for one of our clients. 
 
We're a consulting team that helps clients design and build customized AI agent solutions. You'll work across engagements &mdash; understanding client problems, architecting the right agentic approach, and shipping working systems. This is not a research role. You'll be in the work &mdash; building agents that go live, with real clients, on real timelines. 
 
Environment: 
 
We move fast and work across multiple client contexts. You'll need to be comfortable with ambiguity, adapt quickly across industries, and take ownership of your engagements without much hand-holding. 
 
If you thrive in structured, single-product environments with long planning cycles, this probably isn't the right fit. If you love the variety of consulting and want to build things that actually ship, let's talk. 
 
Work Location: Remote position (40 hours per week) 
Duration: Full-time role 
Pay-rate: $30+/hr 
 
**No C2C resumes are considered** 
 
Responsibilities:<ul><li>
Consult with clients to understand their workflows, pain points, and where agentic AI can create real leverage</li><li>
Design and build custom AI agent solutions tailored to each client's stack, data, and constraints</li><li>
Own full delivery &mdash; from architecture and prompt design to tool integration, testing, and handoff</li><li>
Build evals and monitoring so clients can trust what's running in production</li><li>
Move across engagements &mdash; you'll context-switch between clients and industries</li></ul>
Qualifications:<ul><li>
A minimum of 2 years of experience is required</li><li>
Education requirements: Master's degree</li><li>
Mandatory skills: Agentic AI, Claude, LLM</li><li>
Building production-grade agentic systems using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Claude Agent SDK</li><li>
Designing agent architectures: tool routing, memory, multi-agent coordination, retrieval pipelines</li><li>
Translating a client's messy real-world process into a structured agent design</li><li>
Communicating clearly with non-technical stakeholders &mdash; you can explain what you're building and why</li><li>
Delivering under real project constraints &mdash; timelines, client expectations, shifting requirements</li></ul>
Nice to have:<ul><li>
Experience building agents for GTM use cases &mdash; sales research, outreach automation, CRM workflows, lead enrichment, or marketing operations</li><li>
Comfort connecting agents to third-party APIs, CRMs (HubSpot, Salesforce), or communication tools</li></ul>
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ . 
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
DC4HSZaJiV</div>

Agentic AI Engineer

Builder Lead Converter

<div>Builder Lead Converter

AI Agent Specialist 
Builder Lead Converter is hiring an AI Agent Specialist to design, build, and maintain intelligent AI agents that automate workflows, integrate with our tech stack, and drive real business impact for our internal teams and clients. 
This role sits at the intersection of AI, automation, and systems thinking. You'll work with LLMs, APIs, and automation platforms to deploy AI agents that go far beyond basic chatbots-supporting operations, marketing, customer support, and internal efficiency at scale. 
If you enjoy turning complex, messy processes into clean, automated systems-and want your work to directly impact growing businesses-this role is for you. 
About Builder Lead Converter

Builder Lead Converter (BLC) is a marketing and technology agency serving home builders, remodelers, and construction-focused businesses across the U.S. We specialize in high-performance websites, automation, CRM systems, analytics, and scalable operational processes.

We're known for:
<ul>
<li>Strong technical execution</li>
<li>Clear systems and SOPs</li>
<li>Deep understanding of builder and contractor workflows</li>
<li>A culture that values ownership, documentation, and continuous improvement</li>
</ul>
As we continue to expand our use of AI internally and across client systems, we're investing in this role to help us build production-ready AI agents that create measurable efficiency and value. 
Full Job Description

About the Role

As an AI Agent Specialist, you'll be responsible for creating and managing AI-powered agents that support internal operations, marketing workflows, CRM processes, and customer-facing systems.

You'll collaborate closely with leadership, developers, and non-technical stakeholders to:
<ul>
<li>Identify automation opportunities</li>
<li>Design AI agent logic and workflows</li>
<li>Deploy, test, document, and improve intelligent systems over time</li>
</ul>
This is a hands-on builder role, not a research or purely theoretical position. 
What You'll Do
<ul>
<li>Design and deploy AI agents using LLMs (e.g., OpenAI, Anthropic, etc.)</li>
<li>Build multi-step agent workflows (decision-making, memory, tool usage)</li>
<li>Integrate AI agents with platforms such as:</li>
<li>CRMs (including Go High Level)</li>
<li>WordPress and web applications</li>
<li>Marketing and analytics tools</li>
<li>Internal dashboards and systems</li>
<li>Create automations using tools like:</li>
<li>Zapier, Make, n8n, or similar</li>
<li>Custom API integrations</li>
<li>Implement prompt frameworks, guardrails, and evaluation logic</li>
<li>Optimize AI agents for:</li>
<li>Accuracy</li>
<li>Cost efficiency</li>
<li>Reliability in real-world use</li>
<li>Document systems and contribute to internal SOPs</li>
<li>Monitor performance and iterate based on feedback and results</li></ul> 


Required Skills &amp; Experience
<ul>
<li>Strong understanding of LLMs and prompt engineering</li>
<li>Experience building or deploying AI agents or advanced automations</li>
<li>Comfortable working with APIs, JSON, and structured data</li>
<li>Experience with at least one automation platform (Make, Zapier, n8n, etc.)</li>
<li>Strong systems thinker who can break down complex workflows into logic</li>
<li>Ability to explain technical concepts to non-technical stakeholders</li>
<li>Organized, detail-oriented, and documentation-driven</li></ul> 


Nice-to-Have (Not Required)
<ul>
<li>Experience with:</li>
<li>LangChain, OpenAI Assistants, or similar frameworks</li>
<li>Vector databases and embeddings</li>
<li>WordPress or headless CMS environments</li>
<li>CRM platforms beyond Go High Level</li>
<li>Basic JavaScript or Python</li>
<li>Experience deploying AI in real business environments, not just demos</li></ul> 


Work Schedule &amp; Availability
<ul>
<li>Core office hours: 8:00 AM - 5:00 PM CST, Monday-Friday</li>
<li>We offer flexibility to start up to 4 hours earlier in the day</li>
<li>This is a remote position, but collaboration during shared business hours is important</li></ul> 


Compensation &amp; Benefits
<ul>
<li>Competitive base salary: $1,500 to $2,000</li>
<li>Paid Time Off (PTO)</li>
<li>Floating holidays</li>
<li>Opportunity to earn quarterly performance bonuses</li>
<li>Profit sharing eligibility after 3 years of service</li>
<li>Work with modern, evolving tech systems and a team that values smart automation</li></ul> 


Our Tech Stack (Includes but Not Limited To)
<ul>
<li>Go High Level</li>
<li>WordPress</li>
<li>Jira</li>
<li>Trello</li>
<li>Automation platforms (Zapier, Make, n8n, etc.)</li>
<li>Analytics, marketing, and CRM tools</li></ul> 


What Success Looks Like
<ul>
<li>AI agents are reliable, maintainable, and trusted by the team</li>
<li>Automations reduce manual effort and improve consistency</li>
<li>Systems are clearly documented and easy to extend</li>
<li>You proactively identify opportunities to improve workflows using AI</li></ul> 


How to Apply

Please send:
<ul>
<li>A brief overview of your experience with AI agents or automation</li>
<li>Examples of systems you've built (Looms, screenshots, GitHub, or descriptions)</li>
<li>Optional: your favorite tools or frameworks and why you like them</li></ul></div>

AI Agent Specialist

Decompute

<div>
 
 
 Company Description
 
 
 
 
 
 Decompute is a pioneer in the development of AI models optimized for local environments, requiring as little as 1 GB of VRAM. Known for our BlackBird platform, which enables the creation of on-device AI agents, we specialize in areas such as finance, legal, coding, and creative tasks like voice and image generation. Our breakthrough multimodal AI models are renowned for outperforming cloud-dependent competitors, even while operating entirely offline on consumer-grade devices. With a model footprint as small as 350M parameters, Decompute&rsquo;s solutions are efficient, scalable, and tailored for CPUs and GPUs. Join us in revolutionizing on-device AI as we empower enterprises with next-generation advancements in technology.
 
 
 
 
 
 
 Role Description
 
 
 
 
 
 This is a full-time, on-site role located in Cupertino, CA, for an AI Researcher. The AI Researcher will lead cutting-edge research in artificial intelligence, focusing on the development and optimization of advanced models for on-device use. Daily responsibilities include conducting in-depth research, designing algorithms, implementing machine learning solutions, analyzing datasets, and collaborating with cross-functional teams to innovate and refine AI systems.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Strong foundation in ML and CS, including model architectures, programming and algorithm design
 </li>
 </ul>
 
 Experience training, evaluating, and improving advanced models in production or research settings
 
 <ul>
 <li>
 Experience in Research and implementation of AI-focused technologies
 </li>
 <li>
 Proficiency in Statistics for data analysis and model evaluation
 </li>
 <li>
 Strong problem-solving capabilities and aptitude for innovation
 </li>
 <li>
 Good communication skills for collaboration and presentation of research insights
 </li>
 <li>
 Experience with on-device AI or resource-efficient machine learning is a plus
 </li>
 <li>
 Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or related field preferred
 </li>
 </ul>
</div>

AI Researcher

Optimal Inc.

<div>Job Title: Agentic AI Developer
We are seeking a highly skilled Agentic AI Developer to support advanced R&amp;D initiatives focused on next-generation AI agents and conversational intelligence systems. This role centers on designing, building, and optimizing intelligent agent architectures powered by large language models (LLMs) and advanced reasoning frameworks.
The ideal candidate brings a strong blend of machine learning expertise, systems thinking, and hands-on experience with agent-based architectures, and thrives in a fast-paced, research-driven environment.
Key Responsibilities<ul><li>
Design and develop agentic AI systems using GPT-style and other large language model architectures</li><li>
Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory</li><li>
Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving</li><li>
Build scalable context management frameworks to support dynamic, multi-turn conversations</li><li>
Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation</li><li>
Collaborate with cross-functional R&amp;D teams to integrate agent-based solutions into innovative products and research initiatives</li><li>
Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities</li><li>
Document system designs, experiments, and technical findings</li></ul>
Required Qualifications<ul><li>
3-5 years of industry experience in AI/ML, LLM development, or agent-based systems</li><li>
Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)</li><li>
Experience building or working with agent frameworks, memory systems, or planning/reasoning architectures</li><li>
Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques</li><li>
Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)</li><li>
Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus</li><li>
Strong problem-solving skills and ability to work in research-oriented, collaborative environments</li></ul>
Qualifications<ul><li>
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field</li><li>
Experience contributing to research publications, open-source projects, or experimental AI platforms</li></ul></div>

Agentic AI Developer

American University in the Emirates

<div>Full-Time Faculty &ndash; Artificial Intelligence

American University in the Emirates (AUE) 
Academic Year: 2026&ndash;2027

The American University in the Emirates (AUE) invites applications from Ph.D. holders for full-time faculty positions (Associate Professor in Artificial Intelligence) for the Academic Year 2026&ndash;2027.

Minimum Qualifications
<ul><li> PhD in Artificial Intelligence, Computer Science, Data Science, or a closely related field from an accredited institution.</li></ul>
<ul><li> Minimum 5&ndash;7 years of academic experience post-PhD.</li></ul>
<ul><li> Demonstrated academic progression consistent with Associate Professor rank.</li></ul>

Core Expertise (Mandatory)
<ul><li> Machine Learning and Deep Learning</li></ul>
<ul><li> Statistical Modeling and Data Analysis</li></ul>
<ul><li> AI-driven Decision Support Systems</li></ul>
<ul><li> Programming proficiency (Python, TensorFlow, PyTorch)</li></ul>

Preferred Specializations
<ul><li> Advanced Machine Learning and Optimization</li></ul>
<ul><li> Computer Vision</li></ul>
<ul><li> Natural Language Processing (NLP)</li></ul>
<ul><li> Intelligent Agents and Reinforcement Learning</li></ul>
<ul><li> Big Data Analytics and Distributed Systems</li></ul>
<ul><li> AI for Engineering and Industrial Applications</li></ul>

Teaching Requirements
<ul><li> Experience teaching graduate-level courses such as Machine Learning, Deep Learning, Data Analytics, and AI Systems.</li></ul>
<ul><li> Ability to supervise Master&rsquo;s theses and research projects.</li></ul>
<ul><li> Familiarity with Outcome-Based Education (OBE).</li></ul>

Research Profile
<ul><li> Strong publication record in high-impact journals and conferences (Scopus / WoS indexed).</li></ul>
<ul><li> Ability to lead or contribute to funded research projects.</li></ul>
<ul><li> Research aligned with emerging AI domains and applications.</li></ul>

Professional / Industry Experience (Preferred)
<ul><li> Experience in applied AI projects.</li></ul>
<ul><li> Collaboration with industry or government.</li></ul>
<ul><li> Experience deploying AI solutions in real-world environments.</li></ul>

Skills and Competencies
<ul><li> Leadership in curriculum development.</li></ul>
<ul><li> Ability to support the MSAIDS program.</li></ul>
<ul><li> Strong interdisciplinary collaboration skills.</li></ul>
<ul><li> Effective communication and mentoring.</li></ul>

General Requirements
<ul><li> Commitment to teaching excellence.</li></ul>
<ul><li> Ability to contribute to accreditation and QA processes.</li></ul>
<ul><li> Experience in multicultural environments.</li></ul>
<ul><li> Fluency in English (Arabic is a plus).</li></ul> 


About American University in the Emirates (AUE):

The American University in the Emirates (AUE) invites applications from well-qualified candidates for a range of faculty and administrative positions. AUE is located in Dubai Intl. Academic City.

AUE is not just a place of learning but a hub of innovation and growth, where your expertise and aspirations find a welcoming environment.

At AUE, we believe Nothing is Impossible is the Pathway to Success

AUE comprises seven dynamic colleges: College of Law, College of Education, College of Design, College of Business Administration, College of Media and Mass Communication, College of Health Sciences. College of Engineering and Technology and College of Security and Strategic Studies. Each college boasts unique strengths and prestigious accreditations, reflecting our commitment to providing a world-class education.

The American University in the Emirates is accredited by SACSCOC (the Southern Association of Colleges and Schools Commission on Colleges) to award baccalaureate and master&rsquo;s degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels

The American University in the Emirates is officially licensed to operate as a higher education institution and all its programs are accredited by CAA (the Commission for Academic Accreditation), Ministry of Education, United Arab Emirates.

The College of Business Administration is a proud member of AACSB (The Association to Advance Collegiate Schools of Business), and its degree programs (Bachelor of Business Administration, Master of Business Administration, Master of Sport Management) are accredited by AACSB) as of 2022.

The Bachelor of Computer Science in the College of Engineering and Technology is accredited by the Computing Accreditation Commission of ABET.

LOCATION:

American University in the Emirates &ndash; Dubai International Academic City &ndash; Dubai &ndash; United Arab Emirates.</div>

CET – Artificial Intelligence

NorthBay - Pakistan

<div>
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 About The Role
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
 </li>
 <li>
 Design intelligent conversational systems with fallback handling and contextual memory
 </li>
 <li>
 Build and manage MLOps pipelines using Azure Machine Learning
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building RAG pipelines using Azure AI Search
 </li>
 <li>
 Experience with vector databases and hybrid search architectures
 </li>
 <li>
 Practical experience in Agentic AI / multi-agent systems
 </li>
 <li>
 Hands-on with Azure AI Document Intelligence (Form Recognizer)
 </li>
 <li>
 Solid understanding of Knowledge Graphs and semantic modeling
 </li>
 <li>
 Expertise in prompt engineering &amp; LLM optimization techniques
 </li>
 <li>
 Experience with Prompt Flow (Azure AI Studio)
 </li>
 <li>
 Strong background in Python and cloud-native development
 </li>
 <li>
 Experience with Azure ML / MLOps pipelines
 </li>
 <li>
 Ability to design scalable and secure enterprise AI architectures
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LangChain, Semantic Kernel, or similar frameworks
 </li>
 <li>
 Exposure to multi-agent orchestration tools
 </li>
 <li>
 Prior experience working with enterprise clients or large-scale AI deployments
 </li>
 </ul>
</div>

Azure AI (Agentic) Specialist - Team Lead

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