game agent

MEDIFLOWS BILLING SOLUTIONS Company

<p><b>Job Title: </b>AI Agent Developer Trainer (Part-Time)</p><p><b>Job Summary</b></p><p>We are seeking a part-time AI Agent Developer Trainer to teach students how to build and understand AI agents. The ideal candidate can clearly explain concepts and guide students through practical learning.</p><p><b>Responsibilities</b></p><ul><li>Design and deliver training programs focused on AI agent development</li><li>Large Language Models (LLMs)</li><li>Prompt engineering</li><li>Agent frameworks (e.g., LangChain, AutoGen)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Guide learners in building real-world AI agents (chatbots, automation tools, multi-agent systems)</li><li>Create course materials, assignments, and practical labs</li><li>Provide one-on-one mentorship and feedback</li><li>Stay updated with the latest trends in AI and agent technologies</li><li>Evaluate student progress through projects, assessments, and code reviews</li><li>Assist learners in deploying AI agents (APIs, cloud platforms, etc.)</li></ul><p><b>Requirements</b></p><ul><li>Strong knowledge of AI, Machine Learning, and AI agents</li><li>Experience with Python and AI tools/frameworks</li><li>Good communication and teaching skills</li><li>Ability to explain concepts to beginners</li></ul><p><b>Job Type</b></p><p>Part-Time (On-site)</p><p>Job Type: Part-time</p><p>Pay: Rs40,000.00 per month</p><p>Work Location: In person</p>

AI Agent Developer Trainer

MVP Application and game design L.L.C

<p>Role Overview</p><p>We 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.</p><p>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.</p><p><b>Key Responsibilities</b></p><p>AI Agents &amp; Orchestration</p><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><p>AI Routing Systems</p><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><p>MCP &amp; Integration</p><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><p>LLM Engineering</p><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><p>Backend Development</p><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><p>Requirements</p><p>Must-Have</p><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><p>Nice to Have</p><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><p>What You&rsquo;ll Build</p><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><p>Ideal Candidate</p><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><p>Why Join Us</p><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><p>Job Type: Full-time</p><p>Pay: AED4,000.00 - AED5,000.00 per month</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>AI Agent &amp; Routing Engineer: 1 year (Required)</li><li>Software Development: 3 years (Required)</li></ul><p>Language:</p><ul><li>English (Required)</li></ul><p>Work Location: In person</p>

AI Agent Developer

Optimal Inc.

<div><p><b>Job Title: Agentic AI Developer</b></p><p>
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.</p><p>
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.</p><p>
Key Responsibilities</p><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><p>
Required Qualifications</p><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><p>
Qualifications</p><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

FocusKPI Inc.

<div><p>We are seeking an <b>Agentic AI Engineer</b> to support the development of a customized AI agent solution for one of our clients.<br>
<br>
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.<br>
<br>
<b>Environment:</b><br>
<br>
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.<br>
<br>
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.<br>
<br>
<b>Work Location:</b><b> </b>Remote position (40 hours per week)<br>
<b>Duration:</b> Full-time role<br>
<b>Pay-rate:</b> $30+/hr<br>
<br>
<b>**No C2C resumes are considered**</b><br>
<br>
<b>Responsibilities:</b></p><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><p><b>
Qualifications:</b></p><ul><li>
A minimum of <b>2 years</b> of experience is required</li><li><b>
Education requirements:</b> Master's degree</li><li><b>
Mandatory skills:</b> 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><p><b>
Nice to have:</b></p><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><p></p><p>
Thank you!</p><p>
FocusKPI Hiring Team</p><p>
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.</p><p>
</p><p><b>NOTICE: </b>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/ .<br>
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.</p><p>
</p><p>DC4HSZaJiV</p></div>

Agentic AI Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div> <div>GEN AI &amp; AGENTIC AI build &amp; Implementation experience
</div><ul><li>Hands-on experience with LLMs and RAG architectures
</li></ul><ul><li>Experience with vector databases and semantic search
</li></ul><ul><li>Practical understanding of prompt engineering and evaluation
</li></ul><ul><li>Hands-on experience building agentic or multi-step AI workflows (not just prompting)
</li></ul><ul><li>Experience with orchestration frameworks and tool calling
</li></ul><ul><li>Understanding of AI safety, guardrails, and reliability patterns
</li></ul><ul><li>Ability to operationalize AI agents at enterprise scale
</li></ul><div>Roles &amp; Responsibilities
</div> <ul><li>Build end-to-end GenAI applications using LLMs (text, documents, Q&amp;A, summarization, extraction)
</li></ul><ul><li>Implement RAG pipelines: data ingestion, chunking, embeddings, vector search, and grounded responses
</li></ul><ul><li>Develop APIs and microservices to integrate GenAI solutions with enterprise systems
</li></ul><ul><li>Implement structured outputs, function calling, and prompt frameworks
</li></ul><ul><li>Support evaluation, testing, monitoring, and continuous improvement of GenAI solutions
</li></ul><ul><li>Collaborate closely with the GenAI Architect and Agentic AI Engineers
</li></ul><ul><li>Design and implement agentic AI workflows (planning execution observation iteration)
</li></ul><ul><li>Build tool-using AI agents integrated with APIs, data sources, and enterprise systems
</li></ul><ul><li>Implement multi-agent or orchestrated agent architectures where required
</li></ul><ul><li>Combine Agentic AI with RAG for grounded, enterprise-safe responses
</li></ul><ul><li>Implement guardrails, safety checks, and evaluation mechanisms
</li></ul><ul><li>Debug, optimize, and operationalize agentic workflows in production</li></ul><div></div><div><br>
</div>
<div></div><br>
<br>
<div>Salary Range: $130,000 to $170,000 per year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>406637</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$130,000-$170,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

GEN AI and AGENTIC AI Engineer

Boyd Gaming Corporation

<div><b>Company Description</b><p><br>
Boyd Gaming Corporation has been successful in gaming jurisdiction in which we operate in the United States and is one of the premier casino entertainment companies in the United States. Never content to rest upon our successes, we will continue to evolve and retain a position of leadership in our industry. Our past success, our current business philosophies and our sound business planning, combine to position Boyd Gaming Corporation to maximize value for our shareholders, our team members and our communities.</p><b><br>
Job Description</b><p><br>
Responsible for monitoring the activities of the casino floor (table games, slots, cages and count room). Utilizes the necessary surveillance equipment to respond to, identify and record questionable activities.</p><ul><li>
Performs all activities and job duties in accordance with the department policies and procedures, Internal Control regulations and the Indiana Gaming Laws and Rules.</li><li>
Acquires a thorough knowledge of all table games, gaming functions and methods of cheating/theft. Develops the ability to observe all gaming areas from a Surveillance perspective.</li><li>
Acquires knowledge of all other department&rsquo;s procedures and is alert for deviations from the Internal Controls and the Indiana Gaming Laws and Rules. Reports all deviations to Lead Agent, Surveillance Supervisor and/or Director.</li><li>
Is alert for any act of a suspicious and/or illegal nature and advises Lead Agent, Supervisor and/or Director when any such activity is observed.</li><li>
Performs close watches on casino areas and/or employees as directed by the Lead Agent, Supervisor and/or Director.</li><li>
Makes entries on the Daily Shift Report and writes Surveillance Reports as necessary.</li></ul><p>
Obtains a strong working knowledge of all equipment used by the department.</p><b><br>
Qualifications</b><br>
<ul><li>
Thorough knowledge of casino games, regulations and knowledge of game cheating/theft methods and related illegal activity preferred.</li><li>
Asset protection or loss prevention experience preferred.</li><li>
High school diploma preferred.</li></ul><p>
Good observation skills, math skills and report writing skills required.</p><b><br>
Additional Information</b><p><br>
Boyd Gaming is proud to be an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.</p><div></div><p>
Boyd Gaming is proud to be an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.</p></div>

Surveillance Agent

NiCE

<div><div><p>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</p></div><div><h2 class="jobSectionHeader"><b>
Overview</b></h2>
<p>
We&rsquo;re looking for an AI Engineer with strong expertise in Voice, Network, and Compute infrastructure automation. You will design and deploy AI‑driven automation that improves reliability, performance, and operational efficiency across large‑scale systems. This role emphasizes <b>agent‑based automation, MCP‑style service frameworks, and reusable Skills that enable intelligent workflows across infrastructure platforms.</b></p>
<h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h2>
<ul><li>Build <b>AI/ML‑powered automation</b> for Voice, Network, and Compute platforms.</li>
<li>Design and deploy <b>Model Context Protocol (MCP)&ndash;style servers</b> or similar agent service layers that expose infrastructure capabilities as secure, reusable AI‑callable actions.</li>
<li>Develop <b>Skills and tools for workflow automation</b>, enabling LLM‑driven agents to execute operational tasks, diagnostics, and remediation safely and deterministically.</li>
<li>Create intelligent systems for <b>anomaly detection, forecasting, root cause analysis, and self‑healing</b>.</li>
<li>Integrate automation with <b>SBCs, SIP systems, routers/switches, load balancers (F5, Palo Alto, Arista), VMware, Kubernetes, and cloud compute platforms</b>.</li>
<li>Build <b>APIs, Skills, and agent workflows</b> that connect with observability, CMDB, and ticketing platforms (Grafana, Prometheus, ServiceNow, etc.).</li>
<li>Implement <b>Infrastructure‑as‑Code</b> using Terraform, Ansible, or similar tools.</li>
<li>Partner with operations teams to eliminate manual work, improve uptime, and accelerate incident response.</li>
<li>Define <b>guardrails, permissions, and validation layers</b> to ensure AI‑driven automation operates safely in production environments.</li>
</ul><h2 class="jobSectionHeader"><b>What You Bring</b></h2>
<ul><li>5+ years of experience in <b>AI/ML engineering, automation engineering, or infrastructure engineering</b>.</li>
<li>Strong <b>Python development</b> skills, including API and service development.</li>
<li>Hands‑on experience with:
<ul><li><b>Voice</b>: SIP, SBCs, call flows</li>
<li><b>Network</b>: routing/switching, F5, Palo Alto, Arista</li>
<li><b>Compute</b>: VMware, Kubernetes, and cloud platforms</li>
</ul></li><li>Experience building or operating <b>MCP‑like services, agent backends, or tool‑calling frameworks</b> that allow LLMs to interact with real systems.</li>
<li>Proven ability to create <b>modular Skills or tools</b> for workflow automation and agent execution.</li>
<li>Experience with <b>ML frameworks and LLM orchestration tools</b>.</li>
<li>Solid understanding of <b>CI/CD, GitOps, containers, and orchestration</b>.</li>
</ul><h2 class="jobSectionHeader"><b>Bonus Skills</b></h2>
<ul><li>Cloud‑native automation experience (AWS Lambda, Azure Functions, GCP Cloud Functions).</li>
<li>Knowledge of <b>Kafka or other event/streaming frameworks</b>.</li>
<li>Experience with <b>policy engines, RBAC, and safety controls</b> for AI automation.</li>
<li>Networking, cloud, or automation certifications.</li>
</ul><h2 class="jobSectionHeader"><b>Why This Role Matters</b></h2>
<p>
You will help build the next generation of <b>intelligent, self‑driving infrastructure</b>, where AI agents, MCP‑style services, and reusable Skills replace fragile scripts and manual runbooks. Your work will reduce toil, improve system reliability, and enable teams to operate infrastructure at scale with speed, safety, and resilience.</p></div><div><p><b><i>
About NiCE
</i></b></p><p><i>NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
</i></p><p><i>Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
</i></p><p><i>NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</i></p></div></div><p></p>

AI Automation Infrastructure Engineer

Search 2720+ Game agent jobs near you this April. New roles added regularly across leading industries. Apply today.