game agent

MEDIFLOWS BILLING SOLUTIONS Company

Job Title: AI Agent Developer Trainer (Part-Time)Job SummaryWe 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.Responsibilities<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>Requirements<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>Job TypePart-Time (On-site)Job Type: Part-timePay: Rs40,000.00 per monthWork Location: In person

AI Agent Developer Trainer

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

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

NiCE

<div><div>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.</div><div><h2 class="jobSectionHeader">
Overview</h2>

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 agent‑based automation, MCP‑style service frameworks, and reusable Skills that enable intelligent workflows across infrastructure platforms.
<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2>
<ul><li>Build AI/ML‑powered automation for Voice, Network, and Compute platforms.</li>
<li>Design and deploy Model Context Protocol (MCP)&ndash;style servers or similar agent service layers that expose infrastructure capabilities as secure, reusable AI‑callable actions.</li>
<li>Develop Skills and tools for workflow automation, enabling LLM‑driven agents to execute operational tasks, diagnostics, and remediation safely and deterministically.</li>
<li>Create intelligent systems for anomaly detection, forecasting, root cause analysis, and self‑healing.</li>
<li>Integrate automation with SBCs, SIP systems, routers/switches, load balancers (F5, Palo Alto, Arista), VMware, Kubernetes, and cloud compute platforms.</li>
<li>Build APIs, Skills, and agent workflows that connect with observability, CMDB, and ticketing platforms (Grafana, Prometheus, ServiceNow, etc.).</li>
<li>Implement Infrastructure‑as‑Code 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 guardrails, permissions, and validation layers to ensure AI‑driven automation operates safely in production environments.</li>
</ul><h2 class="jobSectionHeader">What You Bring</h2>
<ul><li>5+ years of experience in AI/ML engineering, automation engineering, or infrastructure engineering.</li>
<li>Strong Python development skills, including API and service development.</li>
<li>Hands‑on experience with:
<ul><li>Voice: SIP, SBCs, call flows</li>
<li>Network: routing/switching, F5, Palo Alto, Arista</li>
<li>Compute: VMware, Kubernetes, and cloud platforms</li>
</ul></li><li>Experience building or operating MCP‑like services, agent backends, or tool‑calling frameworks that allow LLMs to interact with real systems.</li>
<li>Proven ability to create modular Skills or tools for workflow automation and agent execution.</li>
<li>Experience with ML frameworks and LLM orchestration tools.</li>
<li>Solid understanding of CI/CD, GitOps, containers, and orchestration.</li>
</ul><h2 class="jobSectionHeader">Bonus Skills</h2>
<ul><li>Cloud‑native automation experience (AWS Lambda, Azure Functions, GCP Cloud Functions).</li>
<li>Knowledge of Kafka or other event/streaming frameworks.</li>
<li>Experience with policy engines, RBAC, and safety controls for AI automation.</li>
<li>Networking, cloud, or automation certifications.</li>
</ul><h2 class="jobSectionHeader">Why This Role Matters</h2>

You will help build the next generation of intelligent, self‑driving infrastructure, 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.</div><div>
About NiCE
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.
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.
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.</div></div>

AI Automation Infrastructure Engineer

Fayette Early Learning Academy

Summary 
 
Looking for a 3 year old teachers. Children are potty trained. 
M- F 9:00am - 6:30pm 
 
paid training and CDA certification 
Must be GREAT with children and able to pass a background screening. 
Must be a great team player. 
Position is available immediately.
 
Degree/CDA or other certification = higher pay 
 
Duties 
 
Responsible for the day to day care of 8 +/- children 
lesson plans 
GELDS
 
social emotional intelligence 
parent communication 
Quality Rated 
 
Requirements 
 
pass a background screening 
no criminal history 
experience with three year olds 
CDA or higher 
 
Nice To Haves 
 
Responsibilities include, but not limited to: teaching, boo-boo kisser, friendship mentor, psychologist, cook, lesson plan writer, storybook teller, high fiver, singer, dancer, counter, game player, hugger, small group instructor, differentiated instruction, behavior manager, inspire, science experimenting, data analyzing, technology integrating, idea sharing, dream cultivating, life-changing, safety monitor, magician, nurse, paramedic, party planner, peacekeeper, personal assistant, recreation director, referee, librarian, relationship specialist, repair person, snuggler, travel agent, waitress, zookeeper, fashion stylist, hairdresser, work advisor, housekeeper, hygiene consultant, internet safety monitor, juggler, loan officer, lost and found attendant, confidant, alarm clock, banker, chauffeur, chef, chief justice, chore delegator, coach, concierge, cheerleader, disc jockey, and expectation manager. 
 
Benefits 
 
paid training 
discounted childcare

Assistant 3 year old teacher 9am - 6:30pm

EPAM Systems

<div>We are seeking a highly motivated and experienced Generative AI Operations (GenAI Ops) Engineer to join our innovative team.
In this role, you will be at the forefront of the AI revolution, responsible for building, deploying, and maintaining the operational infrastructure for our cutting-edge generative AI models and services. You will work closely with data scientists, machine learning engineers and software developers to ensure our GenAI applications&mdash;especially complex multi-agent systems&mdash;are scalable, reliable and efficient across major cloud platforms. If you are passionate about operationalizing large-scale AI systems and want to make a significant impact, this is the role for you.
Responsibilities<ul><li>
Build and Manage CI/CD Pipelines: Design, implement and maintain robust, automated CI/CD pipelines for training, evaluating and deploying large language models (LLMs) and AI agents</li><li>
Orchestrate Agentic AI Workflows: Design, deploy and manage sophisticated multi-agent systems Ensure seamless Agent-to-Agent (A2A) communication and collaboration between specialized agents to automate complex business processes</li><li>
Manage Tool Integration: Implement and manage secure, scalable integrations between AI agents and external tools/APIs, leveraging open standards like the Model Context Protocol (MCP) to ensure interoperability</li><li>
Leverage AI-Powered Development: Utilize AI-powered development tools to accelerate the entire software development lifecycle from writing infrastructure code and tests to troubleshooting operational issues in cloud environments</li><li>
Infrastructure as Code (IaC): Utilize cloud-native IaC services or cloud-agnostic tools like Terraform to define and manage the infrastructure required for GenAI workloads</li><li>
Model Monitoring and Observability: Implement comprehensive monitoring and logging solutions to track model and agent performance, resource utilization and system health For agentic systems, this includes tracing the agent's actions and logging the multi-step conversational flow</li><li>
Scalability and Performance Optimization: Design and implement scalable architectures for model serving and inference Continuously optimize the performance and cost-effectiveness of our GenAI services</li><li>
Security and Compliance: Implement and enforce security best practices for our GenAI infrastructure and data Ensure compliance with industry standards and regulations</li></ul>
Requirements<ul><li>
3+ years in a DevOps, SRE or MLOps role with a focus on cloud infrastructure and a background in cloud services (AWS, GCP, Azure)</li><li>
Skilled in building and managing CI/CD pipelines (Jenkins, GitLab CI or cloud-native services) and proficiency in at least one scripting language (e.g. Python, Bash)</li><li>
Familiarity with IaC tools (e.g. AWS CDK, CloudFormation, Terraform) and in containerization and orchestration (Docker, Kubernetes)</li><li>
Track record deploying and operating LLM inference (e.g. vLLM, Triton, TGI, Ray Serve, KServe/Seldon)</li><li>
Hands-on with LLM/app tracing and metrics (e.g. OpenTelemetry + Langfuse, Arize Phoenix, WhyLabs) and building eval pipelines (offline/online regression suites)</li><li>
Skilled in operating retrieval pipelines: embedding generation, indexing/refresh strategies, vector DBs (Pinecone, Weaviate, Milvus, FAISS) and relevance monitoring</li><li>
Practice running multi-agent workflows (LangGraph, CrewAI, AutoGen-like), including state management, retries, rate limits, tool-failure handling and step-level auditing</li><li>
Experience in implementing guardrails: secrets isolation, tool/API permissions, prompt-injection defenses, data leakage prevention, PII redaction and policy enforcement</li><li>
Fluent English (B2+ level)</li></ul>
Nice to have<ul><li>
Master's degree or PhD in Computer Science, AI, Machine Learning or a related field</li><li>
Background integrating agents with external tools using MCP (or similar tool-calling standards) and operating tool registries</li><li>
Experience with cloud-native GenAI services like AWS Bedrock, Azure AI Foundry or Google Vertex AI</li><li>
Familiarity with the architecture and operational challenges of Large Language Models (LLMs)</li><li>
Experience designing or managing multi-agent systems or complex orchestrated workflows</li><li>
Knowledge of monitoring and observability tools like Prometheus, Grafana or Datadog</li><li>
Relevant cloud or DevOps certifications</li><li>
Strong problem-solving skills and the ability to work effectively in a fast-paced collaborative environment</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of assignments and projects</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation office zones with tea, coffee and snacks</li><li>
Sports and game consoles</li><li>
IT equipment and Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.</div>

Senior Generative AI Operations (GenAI Ops) Engineer

<div><div>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.</div><div>

So, what&rsquo;s the role all about?

A NiCE CX Outbound Solution Engineer specializes in designing and deploying outbound contact center solutions that drive operational efficiency, regulatory compliance, and customer engagement. This role blends deep knowledge of outbound campaign orchestration with modern CCaaS platforms and AI/ML technologies. Ideal candidates bring hands-on operational experience in contact centers and a strong understanding of outbound regulations and strategies.

How will you make an impact?
<ul>
<li>Collaborate with sales and product teams to understand customer requirements and translate them into AI and CCaaS solution architectures.</li>
<li>Design and demonstrate outbound campaign workflows, including dialing strategies, segmentation, and contact cadence.</li>
<li>Design AI flows using different tools (low code-no code designer, vibe coding, scripting)</li>
<li>Present technical solutions to both technical and non-technical stakeholders.</li>
<li>Lead proof-of-value (PoV) and pilot implementations focused on outbound use cases.</li>
<li>Deep knowledge of CCaaS platform integrations with CRM, telephony, and campaign management tools.</li>
<li>Deep knowledge of conversational AI and virtual agent solutions.</li>
</ul>
Have you got what it takes?
<ul>
<li>Outbound Contact Center Expertise: Deep understanding of campaign orchestration, dialing modes (predictive, preview, progressive), and contact strategies.</li>
<li>Regulatory Knowledge: Familiarity with outbound compliance frameworks including OFCOM (UK), FDCPA, CFPB, TCPA (US).</li>
<li>Operational Experience: Prior hands-on experience in contact center operations, ideally in outbound environments.</li>
<li>CCaaS Platforms: Experience with NiCE, Genesys, Five9, Alvaria, TCN or similar.</li>
<li>AI/ML Awareness: Understanding of how AI can enhance outbound operations (e.g., call outcome prediction, agent coaching).</li>
<li>Solution Architecture: Ability to design scalable outbound solutions that integrate with CRM, compliance systems, and analytics platforms.</li>
<li>Communication: Skilled in translating technical and regulatory concepts for diverse stakeholders.</li>
<li>Ethical AI Awareness: Understands responsible AI use in outbound contexts, including consent and fairness.</li>
</ul>
You will have an advantage if you also have:
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, or related field.</li>
<li>At least 2 years in a technical pre-sales or outbound contact center.</li>
<li>Experience with outbound CCaaS deployments, compliance-driven workflows, or consulting engagements.</li>
</ul>
What&rsquo;s in it for you?

Join an ever-growing, market disrupting, global company where the teams &ndash; comprised of the best of the best &ndash; work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Requisition ID: 10585 
Reporting into: Director of Presales 
Role Type: Individual Contributor
</div><div>
About NiCE
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.
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.
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.</div></div>

CX Outbound Solution Engineer

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