ai developer

Job Bank Recruitment Network

Job Bank &mdash; AI Business Engine DevelopmentLocation: RemoteMust speak Fluent EnglishAbout Job BankJob Bank is a UK focused platform helping people start recruitment and training businesses through two simple annual plans. We are now building Job Bank AI &mdash; an intelligent system that includes:<ul><li>Recruitment AI</li><li>Training/Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, not a generic chatbot.Our mission is to create the #1 AI powered business building platform in the UK.Role OverviewWe are looking for an AI Developer / AI Engineer who can:<ul><li>Integrate large language models (OpenAI, Mistral, Groq, Claude)</li><li>Build custom AI workflows</li><li>Fine tune niche models using Job Bank&rsquo;s datasets</li><li>Build intelligent business tools</li><li>Develop AI agents</li><li>Work closely with our product and engineering team</li><li>Deliver fast, clean and high‑quality work</li></ul>You will be responsible for turning Job Bank into an AI powered platform with recruitment intelligence, training intelligence, business-building intelligence, and marketing intelligence.This is a high impact role.Key ResponsibilitiesAI Development<ul><li>Integrate multiple LLM providers (OpenAI, Anthropic, Mistral, Groq).</li><li>Build custom AI workflows using LangChain, LlamaIndex, or similar frameworks.</li><li>Create structured output templates (JSON, Markdown, Steps, Tasks).</li><li>Fine‑tune domain‑specific models (Recruitment, Training, Business, Marketing).</li><li>Build embeddings and vector search for knowledge retrieval.</li><li>Create RAG (Retrieval Augmented Generation) systems.</li><li>Develop AI scoring systems for CVs, content, outreach, etc.</li></ul>AI Tools &amp; Business Engine<ul><li>Build AI tools for:</li><li>Job adverts</li><li>CV scoring</li><li>Outreach writing</li><li>Training/course building</li><li>SOP creation</li><li>Business plan building</li><li>Content creation</li><li>Product creation</li><li>Develop UI + backend logic for these tools.</li></ul>AI Assistants (Agents)<ul><li>Build semi-autonomous agents:</li><li>AI Recruiter Assistant</li><li>AI Training Assistant</li><li>AI Business Coach</li><li>AI Marketing Assistant</li><li>AI Operations Assistant</li><li>Implement memory (short-term + long-term).</li><li>Chain-of-thought planning (hidden).</li><li>Tool calling (search, write files, propose steps).</li></ul>Data Engineering<ul><li>Prepare datasets for fine‑tuning:</li><li>Job ads</li><li>CVs</li><li>Courses</li><li>Training materials</li><li>SOPs</li><li>Business plans</li><li>Marketing frameworks</li><li>Clean, label, and structure data into instruction formats.</li></ul>Collaboration<ul><li>Work with full‑stack developers to integrate AI tools into the platform.</li><li>Work with product to refine features and outputs.</li><li>Work with the founder to align on strategy, direction, and roadmap.</li></ul>Technical Skills (Must Have)AI &amp; ML<ul><li>Experience with OpenAI API, Mistral, Groq, Claude</li><li>Fine‑tuning small/medium models</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Weaviate, Chroma)</li><li>LangChain / LlamaIndex</li><li>Prompt engineering</li><li>LLM function calling</li><li>RAG systems</li><li>Model evaluation and scoring</li></ul>Backend<ul><li>Python or Node.js</li><li>FastAPI / ExpressJS</li><li>REST + WebSockets</li><li>Clean code principles</li><li>API architecture</li></ul>Frontend(Not required, but a plus)<ul><li>React / Next.js</li><li>UI component building</li><li>Clean UX flows</li></ul>General<ul><li>Strong problem‑solving</li><li>Ability to work quickly</li><li>Experience shipping real AI features</li><li>Ability to think like a product engineer, not just a coder</li></ul>Bonus Skills (Nice to Have)<ul><li>Experience with recruitment technology</li><li>Experience with LMS or course platforms</li><li>Experience with business tools (CRM, project management, etc.)</li><li>Experience building AI agents</li><li>Experience using Groq for ultra-fast inference</li><li>Understanding of UK recruitment/training market (not required)</li></ul>What We Offer<ul><li>Work on a high‑impact AI platform</li><li>Long‑term role with growth potential</li><li>Stable and exciting product roadmap</li><li>Opportunity to build category‑defining AI</li><li>Flexible working</li><li>A team that is supportive, fast, and visionary</li></ul>Why This Role MattersYou will be responsible for:<ul><li>bringing AI intelligence into Job Bank</li><li>creating tools no competitor has</li><li>shaping the future of the UK&rsquo;s small‑business landscape</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

AI Developer

Coca-Cola HBC

<div>
 
 Department: Data Insights &amp; Artificial Intelligence
 
 
 Location: Cairo, Egypt
 
 
 
 Purpose of the Role
 
 
 
 As an AI Developer, you will be responsible for developing and implementing AI-driven solutions in collaboration with business and technical stakeholders. Your focus will be on building innovative AI use cases and prototypes &ndash; including cutting-edge Generative AI solutions &ndash; that unlock new value streams for the company. You will be part of a team driving AI initiatives across our 29+ markets, playing a key role in experimenting with emerging technologies and scaling successful proofs-of-concept into production solutions. We follow a SAFe Agile model, so you&rsquo;ll work within a product-centric team to quickly iterate on ideas, using Azure DevOps to manage your work and ensure continuous integration of new AI capabilities.
 
 
 In this role, you will contribute to analytics and AI initiatives across multiple functional areas of the business, including Route‑to‑Market, Supply Chain &amp; Planning, People &amp; Culture, Revenue Growth Management &amp; Finance, and Digital Commerce. These areas span a diverse portfolio of use cases, from customer and market segmentation, pricing and promotion optimization, and digital personalization, to forecasting, optimization, automation, and workforce analytics. Working with rich, large‑scale datasets, you will help translate complex business and operational data into scalable, production‑ready analytics and AI solutions that support decision‑making, improve execution, and drive measurable business impact across markets. The exact functional focus will depend on business priorities, product roadmaps, and team needs, ensuring exposure to a broad range of high‑impact problems rather than a single, siloed domain
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Dive into large and complex datasets to identify patterns and opportunities.
 </li>
 <li>
 Develop reliable ETL pipelines &amp; contribute to the architecture to support the application of generative AI models
 </li>
 <li>
 Apply statistical and machine learning techniques to solve business problems, alongside generative AI models.
 </li>
 <li>
 Spearhead the development of pilot solutions and support the lifecycle of the product.
 </li>
 <li>
 Ability to clearly articulate findings and insights to technical &amp; non-technical audiences
 </li>
 <li>
 Collaborate extensively with business, technical and cross-functional stakeholders to deeply understand challenges and identify opportunities.
 </li>
 <li>
 Work with Agile/SAFe delivery models and respective ways of working.
 </li>
 <li>
 Stay up to date with AI/ML advancements and share knowledge with the team.
 </li>
 </ul>
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative or related field.
 </li>
 <li>
 2 to 4 years of hands-on experience in data science or AI development
 </li>
 <li>
 Demonstrate curiosity and eagerness to communicate across on a day to day basis. Participation in innovation days &amp; hackathons is considered a plus.
 </li>
 <li>
 Problem solving skills, strong analytical mindset and attention to detail
 </li>
 <li>
 Proficiency in Python, Pyspark and SQL.
 </li>
 <li>
 Strong understanding of machine learning and generative AI techniques.
 </li>
 <li>
 Experience with production-ready AI deployments
 </li>
 <li>
 Experience working with big-data-tools. Azure Databricks is a plus.
 </li>
 <li>
 Experience working with big data &amp; AI tools (MS Foundry, Fabric IQ, Copilot Studio, OpenAI, Power Automate). Azure Databricks is a strong plus.
 </li>
 <li>
 Experience in Consumer Product Goods domain is considered a plus.
 </li>
 </ul>
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 :We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve
 
 
 
 .AT COCA-COLA HBC, DIVERSITY HELPS US THRIV
 
 
 
 EIncluding and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value
 
 
 
 
 .
</div>

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

NEON Square

Role OverviewWe are looking for a highly autonomous Full Stack MERN Developer who can operate as a one-person product engineering unit&mdash;designing, building, and deploying complete digital products end-to-end.This role is not for a conventional developer. You must be an AI-native engineer, capable of leveraging tools like Claude, ChatGPT, Copilot, and other AI agents to dramatically accelerate development across mobile apps, backend systems, and web platforms.You will work closely with product leadership to translate ideas into production-grade applications with speed, quality, and scalability in mind.Key Responsibilities<ul><li>End-to-End Product Development: Build mobile apps (React Native / Expo), web apps (React.js), and backend systems (Node.js / Express.js)</li><li>AI-Augmented Development: Use AI tools to scaffold, optimize, debug, and accelerate development</li><li>Architecture &amp; System Design: Design scalable architectures and implement best practices</li><li>DevOps &amp; Deployment: Deploy applications on AWS/GCP/Azure, manage CI/CD and monitoring</li><li>Database &amp; Data Handling: Design MongoDB schemas and optimize queries</li><li>Product Thinking: Translate business requirements into technical solutions</li></ul>Required Skills &amp; Experience<ul><li>Strong proficiency in MongoDB, Express.js, React.js, Node.js</li><li>Experience with React Native / Expo</li><li>Experience using AI tools like Claude, ChatGPT, GitHub Copilot</li><li>Solid understanding of REST APIs, async programming, and Git</li><li>Experience deploying full-stack applications independently</li></ul>Work Location: In person

MERN/ AI Developer

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build: 
This role is for a developer who builds AI solutions that reach production and operate reliably in enterprise environments. You will work with AI architects and data engineers within a growing AI practice. You will design and implement AI applications, agent-based workflows, and integrations across SAP landscapes, working from solution design through to deployment. 
What you bring: 
<ul><li>
3&ndash;5 years in software engineering, AI development, or equivalent experience delivering AI or data-driven solutions used in real environments.</li><li>
Experience building AI applications such as LLM-based solutions, RAG pipelines, or intelligent automation workflows. Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar tools.</li><li>
Experience developing applications using languages commonly used in AI development. Python experience is strongly recommended. Experience with APIs, microservices, and containerisation is beneficial.</li><li>
Exposure to SAP BTP or similar enterprise cloud platforms is beneficial and will be developed on the job. /
Deep SAP platform knowledge is valuable but not the gating factor.</li></ul> 
What Success Looks Like<ul><li><div><ul><li>
AI applications operate reliably in production environments.</li><li>
Agent-based workflows support real business processes.</li><li>
Code and components are reusable across projects.</li><li>
Architecture transitions smoothly into implementation.</li><li>
Customers actively use the AI capabilities delivered.</li></ul></div></li></ul> 
Where you belong: 
AI Application Development (core focus):<ul><li><div><ul><li>
Build and deploy production-grade AI applications.</li><li>
Activate SAP Business AI capabilities and extend them with custom AI solutions where needed.</li><li>
Implement ML, GenAI, and RAG workflows for enterprise use cases.</li><li>
Containerise and deploy AI services using Docker or similar technologies.</li><li>
Build reusable AI components and accelerators.</li></ul></div></li></ul>
Agent-Based AI Development:<ul><li><div><ul><li>
Design and implement agent-based AI workflows.</li><li>
Implement orchestration patterns for multi-step or multi-agent scenarios, including MCP where relevant.</li><li>
Apply prompt engineering techniques to improve reliability and performance of LLM-based solutions.</li><li>
Evaluate and integrate open-source and proprietary LLMs.</li></ul></div></li></ul>
SAP Platform Integration:<ul><li><div><ul><li>
Integrate AI services with SAP BTP and SAP applications.</li><li>
Connect AI solutions with enterprise data platforms and cloud environments where required.</li></ul></div></li></ul>
Engineering and Model Lifecycle:<ul><li><div><ul><li>
Implement pipelines supporting testing, deployment, and operation of AI services.</li><li>
Contribute to monitoring, versioning, and lifecycle management of AI solutions.</li><li>
Maintain clean, maintainable code and documentation.</li></ul></div></li></ul><div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 448415 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 90% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid</div>

AI Developer (One-Year Fixed Term contract)

Info-Tech Research Group

<div>Position Purpose

Info-Tech is expanding its Applied AI practice to help organizations move from AI ambition to real, working AI systems, starting with agentic AI design, rapid prototyping and extending into implementation and optimization.

This role combines hands-on delivery, applied research, and client advisory. You will lead Agentic AI Design &amp; Prototyping workshops, working directly with member organizations to design end-to-end agentic workflows, build functional AI prototypes, and facilitate collaborative build sessions and hackathons. You will also develop new AI research and advise members as they scale and implement AI systems. 
 
Over time, this role will expand into larger AI engagements, deeper implementation work, and ongoing advisory as our AI offerings mature. We&rsquo;re looking for someone who wants to grow with practice and help shape its future direction.

If you&rsquo;re energized by building AI systems, experimenting quickly, and collaborating closely with organizations and teammates to turn ideas into working solutions, this role was built for you.

Our promise to you

You will work for a rapidly growing company that understands the importance of supporting employees through flexibility, inclusiveness, learning and development, internal career mobility, measurement of the Employee Experience and actioning on employee feedback and building strong relationships. 

What you will do, includes, but not limited to:

Deliver Agentic AI Workshops &amp; Prototyping Engagements
<ul>
<li>Lead Info-Tech&rsquo;s Agentic AI Design &amp; Prototyping workshops with member organizations</li>
<li>Guide participants through the full, end-to-end process:
<ul><li>Identifying high-value use cases</li>
<li>Designing agent roles, workflows, and orchestration patterns</li>
<li>Rapidly building and iterating functional AI agent prototypes</li>
</ul></li><li>Facilitate hands-on build sessions and hackathons that move teams from concept to demo-ready solutions</li>
<li>Collaborate directly with member teams to co-create and refine AI artifacts during live engagements</li>
<li>Capture workshop outputs and translate them into clear, practical deliverables members can take forward</li></ul> 


Build &amp; Prototype AI Systems
<ul>
<li>Rapidly prototype AI agents, LLM workflows, and intelligent automations using modern AI stacks</li>
<li>Experiment with agent frameworks, orchestration approaches, evaluation techniques, and tooling</li>
<li>Troubleshoot, refine, and evolve prototypes in real time with member teams</li>
<li>Contribute to internal agent development and experimentation to improve how Info-Tech uses AI in its own service delivery</li></ul> 
 
Research &amp; Thought Leadership (Applied and Practical)
<ul>
<li>Contribute to the development of practical AI resources, including:
<ul><li>Agent blueprints and design patterns</li>
<li>Workflow templates and prototype examples</li>
<li>Evaluation models and implementation guidance</li>
</ul></li><li>Stay current on emerging AI and agentic development practices</li>
<li>Translate hands-on experience and industry trends into usable research and frameworks for members.</li></ul> 


Advisory &amp; Larger Engagements
<ul>
<li>Provide advisory support to members as they move from prototype to broader implementation</li>
<li>Help organizations make informed decisions about:
<ul><li>AI architecture and tooling</li>
<li>Agent deployment and scaling</li>
<li>Governance, risk, and operational considerations</li>
</ul></li><li>Lead advisory calls with senior IT and digital leaders, translating complex AI concepts into practical guidance</li></ul> 
 
Cross-Functional Collaboration &amp; Internal Enablement
<ul>
<li>Partner with Research, Advisory, Sales, Marketing, and Delivery teams to support AI-related initiatives</li>
<li>Train peers on published AI research and emerging practices</li>
<li>Design and deliver high-quality presentations, workshops, and internal learning sessions as needed</li></ul> 
 
To be successful, you will need:

Experience &amp; Technical Depth
<ul>
<li>5&ndash;8 years of hands-on technical experience, including 2&ndash;3+ years building, prototyping, or operationalizing AI/ML systems</li>
<li>Practical experience designing and developing AI agents, including orchestration, prompting strategies, tool use, and workflow integration</li>
<li>Experience working in or alongside ML Ops or AI delivery teams, with an understanding of how AI systems move from prototype to production</li>
</ul>
AI &amp; Engineering Toolkit
<ul>
<li>Hands-on experience with modern AI development tools and platforms, including:
<ul><li>Programming: Strong proficiency in Python and working knowledge of JavaScript</li>
<li>Agent &amp; LLM frameworks: LangChain, PyTorch (or equivalent)</li>
<li>AI platforms &amp; APIs: OpenAI SDK or similar foundation model tooling</li>
<li>Dev tools: Git, Docker</li>
<li>Cloud platforms: AWS and/or Azure</li>
</ul></li><li>Comfortable rapidly building and iterating AI prototypes.</li></ul> 
 
Workshop, Facilitation &amp; Advisory Skills
<ul>
<li>Experience facilitating hands-on technical workshops, hackathons, or build sessions</li>
<li>Strong client-facing presence, with the ability to engage both technical teams and senior leaders</li>
<li>Track record of building trusted advisor relationships with managers and stakeholders; experience with executive audiences is a strong asset</li>
</ul>
Education &amp; Credentials
<ul>
<li>Undergraduate degree required; Computer Science or related technical degree preferred</li>
<li>Certifications in AI, ML, cloud platforms, or related disciplines are valued, but practical experience is the priority</li>
<li>
Travel Requirement: Must be flexible and have ability to travel to deliver workshops onsite at client locations both within and outside of North America.
</li><li>Visa Requirement: Must be eligible to obtain appropriate work Visa for cross-border work within North America and globally.
</li>
<li>Work Hours Requirements: Must be available for after-hours work periodically to service APAC clients.
</li>
<li>Language Skills: Bilingual proficiency in French, Spanish or German is preferred to support our diverse client base across North America and globally.</li> 
</ul>
 
Skills &amp; Attributes
<ul>
<li>Inclusion</li>
<li>Client Interaction and Facilitation</li>
<li>Public Speaking</li>
<li>Knowledge Application, Problem Solving &amp; Decision Making</li>
<li>Project Management</li>
<li>Writing Ability</li>
<li>Business Development</li>
<li>Research</li>
<li>Managing Through Change &amp; Uncertainty</li>
<li>Dynamic Learning Mindset</li></ul> 


ITRG is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, or any other legally protected factors. To that end, upon request, ITRG will ensure, to the extent possible, that accommodation be made available to applicants throughout the recruitment and hiring process. 


#LI-NS2</div>

Agentic AI Developer (Client Facing)

KPMG

<div>Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Manager, AI Application Developer to join our Digital Nexus Technology organization. This is a hybrid work opportunity.<h3 class="jobSectionHeader">
Responsibilities:</h3><ul><li>
Design, develop, and deploy AI-enabled applications using .NET Core, C#, Python, and modern frameworks</li><li>
Integrate solutions with Azure, Google Cloud, and enterprise systems; lead troubleshooting of operational issues and performance optimization</li><li>
Develop Agents to interact with APIs, and other applications using techniques such as A2A and MCP, as well as ensure robust integration</li><li>
Collaborate work with architects to create solution designs and technical documentation</li><li>
Define standards and enforce code quality through reviews, automated testing, and adherence to Software Development Life Cycle (SDLC); Drive DevOps and MLOps best practices</li><li>
Research emerging technologies, as well as recommend best-fit solutions and solution architectures; present technical solutions to both technical and non-technical stakeholders</li><li>
Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment</li></ul><h3 class="jobSectionHeader">
Qualifications:</h3><ul><li>
Minimum five years of overall experience in technology, and over two years of recent experience in bringing in AI platforms/Solutions to solve business problems and make a business impact, practical experience with Python, Azure AI, Google AI services or similar capabilities on other cloud platforms</li><li>
Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED required</li><li>
Full-stack development experience with HTML, CSS, JavaScript, React.js, Node.js, C# and TypeScript</li><li>
Strong experience in Azure AI stack, AKS, API development, and DevOps practices</li><li>
Proficiency in scripting (Python, PowerShell, BASH, YAML) and automation testing</li><li>
AI/ML frameworks, agent-based development, MLOps, and CI/CD pipelines</li><li>
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)</li></ul>
<div>KPMG LLP and its affiliates and subsidiaries (&ldquo;KPMG&rdquo;) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits &amp; How We Work.</div><div></div><div> 
Follow this link to obtain salary ranges by city outside of CA:</div>
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8174_9_26
<div><div>KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</div><div></div><div> 
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.</div><div></div><div> 
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</div></div></div>

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