ai product engineer

JODAYN

<div><p>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.</p><p>
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.</p><p>
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.</p><p>
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments.</p><b><br>
Requirements</b><p><br>
AI Platform Engineering</p><ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul><p></p><p>
Agentic AI Development</p><ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul><p></p><p>
Large Language Model Integration</p><ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul><p></p><p>
Enterprise System Integration</p><ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul><p></p><p>
Proposal &amp; Compliance Automation</p><ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul><p></p><p>
Infrastructure &amp; Deployment</p><ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul><p></p><p><br>
Required Qualifications</p><p>
Education</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul><p></p><p>
Experience</p><ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul><p></p><p>
Required Technical Skills</p><p>
Programming &amp; Backend Development</p><ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul><p>
AI Technologies</p><ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul><p>
Frontend &amp; Integration</p><ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul><p>
Infrastructure &amp; DevOps</p><ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul><p>
Preferred Skills</p><ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul><p></p><p><br>
Core Competencies</p><ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div><p></p>

Senior AI Product Engineer

Notion

<div>
 Who We Are
 <br/>
 <br/>
 Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
 <br/>
 <br/>
 Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn&rsquo;t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business&rsquo;s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life&rsquo;s work.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 <br/>
 <br/>
 We're looking for an New Grad AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
 <br/>
 <br/>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
 <br/>
 <br/>
 <ul>
  <li>
   AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
  </li>
  <li>
   Model &amp; systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
  </li>
  <li>
   Evaluation &amp; quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Achieve
 <br/>
 <br/>
 <ul>
  <li>
   Partner with your team to prototype and ship an AI-powered product improvement
  </li>
  <li>
   Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
  </li>
  <li>
   Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Pursuing a bachelor's or master&rsquo;s degree in computer science, engineering, or another related field. Must be able to start full time prior to July 27, 2026.
  </li>
  <li>
   Previous internship experience.
  </li>
  <li>
   Working towards a proficiency of one or more programming languages such as Typescript, React, Python, etc.
   <br/>
   <br/>
  </li>
 </ul>
 Skills You'll Need To Bring
 <br/>
 <br/>
 <ul>
  <li>
   Expertise building and prototyping: You&rsquo;re excited to build and iterate quickly, and you&rsquo;ve started exploring AI/ML through coursework, projects, internships, or hackathons. You&rsquo;re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
  </li>
  <li>
   Problem-solving: You&rsquo;re curious and methodical. You ask good questions, break down ambiguous problems into smaller pieces, and iterate with feedback from teammates. You think about how what you build will impact users and the business.
  </li>
  <li>
   Communication and collaboration: You communicate clearly in writing and in meetings, and you&rsquo;re comfortable learning in public&mdash;sharing early work, asking for help, and incorporating feedback. You enjoy partnering with engineers and cross-functional teammates (product, design, data).
  </li>
  <li>
   Impact and user focus: You care about building the right thing, not just building it quickly. You prioritize work based on user needs and outcomes, and you&rsquo;re mindful that features at Notion can reach millions of people.
   <br/>
   <br/>
  </li>
 </ul>
 Nice To Haves
 <br/>
 <br/>
 <ul>
  <li>
   You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, etc.
  </li>
  <li>
   You&rsquo;re a builder who finds joy in building software solutions for yourself or others
  </li>
  <li>
   You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
  </li>
  <li>
   You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
   <br/>
   <br/>
  </li>
 </ul>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $126,000-$146,000.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 <br/>
 <br/>
 A Note on AI
 <br/>
 <br/>
 You don&rsquo;t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement &mdash; when that&rsquo;s the case, we'll say so explicitly in the qualifications. People who thrive here don&rsquo;t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
 <br/>
 <br/>
 Equal Opportunity &amp; Accommodations
 <br/>
 <br/>
 We hire talented people from a wide range of backgrounds. If you&rsquo;re excited about this role but don&rsquo;t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 <br/>
 <br/>
</div>


Software Engineer, New Grad (AI)

Travelers

<div><p><b>Who Are We?</b></p><p>
Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.</p><p></p><p><b>
Compensation Overview</b></p><p>
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.</p><p></p><p><b>
Salary Range</b></p>
$139,400.00 - $230,000.00<p></p><p><b>
Target Openings</b></p>
1<p></p><p><b>
What Is the Opportunity?</b></p>
As a member of Enterprise AI &amp; Emerging Tech, you'll be joining a strategic and collaborative team that is passionate about transforming our business and technology capabilities and paving the way for best-in-class technology, data and analytics.<br>
<br>
As a Senior Software Engineer for the Enterprise AI Products Value Stream within the Enterprise AI &amp; Emerging Tech organization, you will serve as an organizational technical leader and a driving force behind the engineering standards, architecture decisions, and delivery outcomes of the team. Engineers at this level work across the full arc of AI product delivery &mdash; from long-horizon strategic initiatives where the path to production is known and the engineering complexity is high, to engagements that demand rapid, high-quality delivery directly alongside Lines of Business. You will lead stakeholder conversations, shape the technical direction of initiatives, and build collective ownership across engineers, architects, and product owners. This role is for engineers who bring deep, production-hardened AI and machine learning experience, think multiple quarters ahead, and take personal responsibility for elevating the engineers around them.<br>
<br>
Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.<p><b>
What Will You Do?</b></p><ul><li><b><i>
Design and lead </i></b><i>the delivery of production-grade AI-powered solutions across a range of engagement types &mdash; from sustained strategic initiatives requiring deep discovery, architecture ownership, and long-horizon planning, to rapid field engagements focused on integrating LOB workflows with enterprise AI platforms and validating feasibility through working prototypes.</i></li><li><b><i>
Drive technical decisions across multiple teams</i></b>, establishing patterns and engineering standards that are adopted beyond the immediate team and serve as a reference for the broader organization.</li><li><b><i>
Lead stakeholder conversations with Lines of Business</i></b><i> &mdash; translating complex technical capabilities into terms that communicate clear business value, and surfacing field intelligence that shapes strategic investment decisions and roadmap priorities.</i></li><li><b><i>
Apply production-hardened machine learning experience to the design and evaluation of AI systems </i></b>&mdash; including model selection, fine-tuning, evaluation methodology, feature engineering, and the integration of traditional ML fundamentals alongside modern LLM-based approaches.</li><li>
Own the technical quality of what the team ships &mdash; driving adherence to nonfunctional requirements including modularity, scalability, observability, recoverability, and testability across all delivered capabilities.</li><li><b><i>
Mentor engineers across the team and beyond</i></b>, setting the learning example, defining best practices, and building engineering capability at an organizational level. Advocate for and advance engineering practices across the value stream &mdash; including source code management, CI/CD standards, test automation, and modern engineering principles &mdash; with an expectation of alignment across teams, not just your own.</li><li>
Identify opportunities where technology can drive business value, think proactively two to three quarters ahead, and contribute to the technical strategy of the AI Products value stream.</li><li>
Participate in and lead Engineering Chapter events and cross-organizational technical forums, sharing knowledge in a discoverable and enterprise-accessible way.</li><li>
Perform other responsibilities as assigned.</li></ul><p><b>
What Will Our Ideal Candidate Have?</b></p><ul><li>
5+ years of software engineering experience with proficiency in <b><i>Python</i></b>; additional languages (JavaScript, TypeScript, Java) a plus.</li><li>
Hands-on experience with <b><i>AWS</i></b> and/or <b><i>Azure</i></b>, containerization and orchestration (Kubernetes), RESTful APIs, microservices architecture, and CI/CD tooling (Jenkins or GitHub Actions).</li><li><b><i>
Production experience</i></b> designing and delivering agentic workflows, LLM integrations, or AI-powered automations; applied ML experience including model development, training, fine-tuning, and evaluation.</li><li>
Demonstrated ability to lead architecture and solution design across teams; advanced delivery skills including design strategy, automated testing, feedback loops, and production health monitoring.</li><li>
Strong problem solver &mdash; uses data and proofs of concept to find creative solutions, measures impact, and optimizes; comfortable making decisions with broad implications and significant complexity.</li><li>
Strong communicator &mdash; able to translate complex technical capabilities into business terms, document initiatives clearly, lead stakeholder conversations, and foster inclusive, collaborative team environments.</li><li>
Advanced leadership skills &mdash; takes ownership in ambiguous situations, influences priorities, develops business partnerships, mentors others, and shares knowledge across the organization.</li><li>
Familiarity with <b><i>Terraform</i></b>, MongoDB or comparable NoSQL,<b><i> Temporal</i></b> or comparable workflow orchestration, and <b><i>MCP server </i></b>configurations and multi-agent frameworks.</li><li>
Experience with ML observability, drift detection, model performance monitoring, or distributed tracing in production environments.</li><li>
Familiarity with zero-trust security principles or secure-by-design development practices in enterprise AI systems.</li><li>
Experience establishing or contributing to engineering standards at an organizational level.</li></ul><p></p><p><b>
What is a Must Have?</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.</li><li>
6 additional years of software engineering experience.</li></ul><p></p><p><b>
What Is in It for You?</b></p><ul><li><b>
Health Insurance</b>: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.</li><li><b>
Retirement:</b> Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.</li><li><b>
Paid Time Off:</b> Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li><b>
Wellness Program:</b> The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.</li><li><b>
Volunteer Encouragement:</b> We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.</li></ul><p></p><p><b>
Employment Practices</b></p><p>
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
</p><p></p><p>In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.</p><p></p><p>
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.</p><p></p><p>
Travelers reserves the right to fill this position at a level above or below the level included in this posting.</p><p></p><p>
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.</p></div>

Senior Software Engineer - Enterprise AI Products

Traversal

<div><h3 class="jobSectionHeader"><b>About Traversal</b></h3><p>
Traversal is the AI Site Reliability Engineer (SRE) for the enterprise&mdash;already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work.</p><p>
Our roots remain deeply embedded in AI research, and we&rsquo;re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we&rsquo;re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
As a Product Engineer at Traversal, you&rsquo;ll play a key role in designing and building core features powered by our AI site reliability engineer. From the user interface to the backend and infrastructure, you&rsquo;ll develop product components to enable real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. This role will focus on the ability to work across the full pipeline of our product, and someone who can have a strong product sense while also being comfortable working around AI and data processing infrastructure will be the best fit.</p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul><li><p><b>
Product Impact:</b> Translate AI-powered insights into user-friendly features that empower engineers and reduce cognitive load.</p></li><li><p><b>
User Experience:</b> Innovate and drive the evolution of UX/UI design, rapidly iterating based on user feedback to improve overall usability.</p></li><li><p><b>
Agent Development:</b> Build AI agents with a mind for user-experience and capabilities like long-horizon work, proactiveness, readability, and evidence citation.</p></li><li><p><b>
API Development</b>: Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces.</p></li><li><p><b>
Data Management</b>: Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others.</p></li><li><p><b>
AI Integration</b>: Collaborate with AI engineers/researchers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks.</p></li><li><p><b>
Data Visualization:</b> Develop intuitive interfaces for presenting and interacting with complex time-series and topological data.</p></li></ul><h3 class="jobSectionHeader"><b>
Requirements</b></h3><ul><li><p>
4+ years of software engineering experience, with a strong focus on full-stack systems.</p></li><li><p>
Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure.</p></li><li><p>
Strong experience with Python and web frameworks such as FastAPI.</p></li><li><p>
Hands-on experience with React, TypeScript, Next.js, and TailwindCSS to build fast, responsive, and maintainable frontends.</p></li><li><p>
Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage.</p></li><li><p>
Note: You don&rsquo;t need to meet every single requirement. If you have deep experience in a subset of these areas, we encourage you to apply.</p></li></ul><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3><ul><li><p>
Familiarity with Python-based ecosystems is a plus.</p></li><li><p>
Experience working with Agentic AI systems or in the observability domain.</p></li><li><p>
Background in large-scale, complex, data-driven applications.</p></li><li><p>
Familiarity with building AI or LLM-powered products.</p></li></ul><h3 class="jobSectionHeader"><b>
Compensation</b></h3><p>
We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000&ndash;$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.</p><h3 class="jobSectionHeader"><b>
Why You Should Join Us</b></h3><p>
We&rsquo;ll make sure you&rsquo;re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team.</p><p>
Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance.</p><p>
Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.</p></div>

Product Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Roles &amp; Responsibilities
</div><div>Job Title: Data Engineer -ML</div><br>
<div><br>
</div><div>Job Description:
</div><div>We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and
</div><div>understanding of AL/ML models to implement AL/ML models in OnPrem and Cloud environment.
</div><div>In this role, you will be responsible for implementing AL/ML Models in different environments leveraging
</div><div>Openshift/Kubernetics.</div><br>
<div><br>
</div><div>Responsibilities:
</div><div>Work with data scientists/data engineers to translate prototypes and theoretical models into functional,
</div><div>production ready code.
</div><div>Collaborate with product and engineering team to implement AI/ML models using PySpark.
</div><div>Understanding of AI/ML and large language models (LLMs).
</div><div>Work on productionalize the AL/ML model in Hadoop environment.
</div><div>Troubleshoot AI/ML Models post implementation to resolve issue raised by users.
</div><div>Monitor model performance and continuously improve efficiency, accuracy, and user experience.</div><br>
<div><br>
</div><div>Qualifications:
</div><div>Strong experience in PySpark and Python to integrate with AI/ML Models.
</div><div>Understanding of AI/ML Models and how they interface with OnPrem and Cloud environments.
</div><div>Familiarity with ML Ops/LLM Ops and distributed systems.
</div><div>Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.
</div><div>Solid understanding of system design patterns, scalability, observability, and performance tuning.
</div><div>Strong analytical and problem-solving skills.
</div><div>Passion for exploring and building with emerging technologies.</div><div></div><div><br>
</div>
<div></div><br>
<br>
<div>Salary Range: $125,000 to $140,000 per year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Irving, TX</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>416708</div>
</div><div><div><b>Desired Skills</b></div>
<div>Machine Learning</div>
</div><div><div><b>Salary Range</b></div>
<div>$125,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

ML Engineer

Etisalat

<div><div><b>AI Development Senior Principal Engineer.Customer and Partner Management</b> <b>-</b> <b>(</b><b>260000ZA</b><b>)</b></div><div><b>
Description</b><div></div><p><b><br>
Job Purpose</b></p><p>
Lead AI model development programs (OCR, multimodal, conversational AI, agentic AI, STT/TTS), define the technical roadmap for model capabilities, guide PoCs to production, and ensure the AI product portfolio delivers measurable business impact.
</p><p><b>
Report To Position Name</b></p><p>
Strategy &amp; Roadmap Define AI/GenAI roadmap aligned with business strategy (conversational experiences, voice automation, knowledge assistants). Evaluate vendor vs open-source LLM options; define hybrid multi-LLM strategies. Product &amp; PoC Leadership Lead productization: turn PoCs into resilient AI services (model lifecycle, monitoring, rollout). Sponsor and validate PoCs for agentic AI, RAG-driven assistants, multimodal features and STT/TTS voice bots. Architecture &amp; Governance Define model architecture standards, security and compliance guardrails, and explainability approaches. Set MLOps standards (training pipelines, model registry, CI/CD for models, drift detection). Team Leadership Manage and grow a high-performing AI engineering team; mentor senior staff and data scientists. Coordinate cross-functional efforts with platforms, product and operations. Stakeholder Engagement Translate business requirements into model specs, ROI assumptions and deployment plans. Present outcomes and technical risk to executive stakeholders.</p><div><br>
</div></div><div><b>
Qualifications</b><div></div><p><b><br>
QUALIFICATIONS_ESSENTIAL</b></p><p>
Master's or PhD in AI/ML strongly preferred</p><p><b><br>
QUALIFICATIONS_DESIRABLE</b></p><p>
Architect enterprise solutions for production scaling, cost/latency trade-offs, model governance.</p><p><b><br>
EXPERIENCE_ESSENTIAL</b></p><p>
4+ years in AI/ML, including leadership delivering commercial AI products.</p><p><b><br>
EXPERIENCE_DESIRABLE</b></p><p>
Expert in generative AI, agentic systems, RAG, embeddings &amp; vector DBs, STT/TTS solutions, production MLOps and ethical AI practices</p><p><b><br>
CERTIFICATIONS_ESSENTIAL</b></p><p>
N/AN</p><div><br>
</div></div><div><b>
Job</b><b>:</b> Senior Principal Engineer</div><div><b>
Organization</b><b>:</b> Etisalat-Misr</div><div><b>
Job Posting</b><b>:</b> 07/Jun/2026, 12:42:16 PM</div></div>

AI Development Senior Principal Engineer.Customer and Partner Management

Dizzaract FZ LLC

<p>01. ABOUT THE COMPANY</p><p><b>Dizzaract</b> is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.</p><p>02. ABOUT THE ROLE</p><p><b>FAR Labs</b> is building FAR AI &mdash; a high-performance decentralized AI inference network that transforms the global computing landscape by turning consumer and enterprise GPUs into a unified AI engine. Following a successful alpha launch in internet cafes across the UAE, we are scaling infrastructure to onboard large-scale gaming cafe fleets and top-tier data centers worldwide.</p><p>We&rsquo;re looking for an <b>AI Automation Engineer (Agent Systems Builder)</b> who can design and deploy multi-agent systems that operate across the company &mdash; from internal workflows to product-level automation.</p><p>This is a hands-on role focused on building structured, reliable AI systems. You will turn LLMs into coordinated agents that can reason, take action, and operate within defined environments.</p><p>03. WHO YOU ARE</p><ul><li><b>LLM Engineer</b></li><li>You understand how language models actually work &mdash; tokenisation, logits, prompting, and system behaviour.</li><li><b>Agent Systems Builder</b></li></ul><p>You&rsquo;ve worked with or built multi-agent systems and understand orchestration, roles, and control flows.</p><ul><li><b>Automation Thinker</b></li></ul><p>You design systems that take action &mdash; not just generate outputs.You can wrap agents into APIs, manage integrations, and handle async workflows.You understand access control, permissions, and how to prevent unsafe behaviour in agent systems.04. RESPONSIBILITIES</p><ul><li><b>Backend Engineer</b></li><li><b>Security-Aware</b></li><li><b>Prompt Engineering &amp; System Design</b></li><li>Design structured, multi-layered prompt systems with context management, self-correction, and reliability controls.</li><li><b>AI Hub Development</b></li></ul><p>Build and configure internal AI systems (Claude, GPT, open-source models) connected to company data, tools, and APIs.</p><ul><li><b>Multi-Agent Architecture</b></li></ul><p>Design and implement hierarchical agent systems (orchestrators, specialised agents, execution layers) with clear responsibilities and control flows.Integrate AI agents with internal systems &mdash; CRM, databases, messaging platforms, CI/CD &mdash; enabling real actions and workflows.Build and maintain tools that allow agents to interact with external systems (APIs, services, internal infrastructure).05. REQUIREMENTS</p><ul><li><b>Integration &amp; Automation</b></li><li><b>Tooling &amp; Execution</b></li><li>Strong understanding of LLM internals (tokenisation, logits, temperature, system prompts, RAG).</li><li>Experience building or working with agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, or custom systems).</li><li>Strong backend experience (Python or TypeScript).</li><li>Experience building APIs, handling async workflows, and integrating external systems.</li><li>Experience implementing function calling, tools, and agent execution workflows.</li><li>Understanding of prompt security, injection risks, and hallucination control.</li><li>Experience integrating AI systems into real business processes or products.</li></ul><p>06. NICE TO HAVE</p><ul><li>Experience building multi-agent systems in production.</li><li>Experience integrating agents with CRM, databases, or CI/CD pipelines.</li><li>Experience with Model Context Protocol (MCP) or similar tooling approaches.</li><li>Experience working in fast-paced or AI-first environments.</li></ul><p>07. WHAT WE OFFER</p><ul><li>Real ownership and direct impact on a global AI infrastructure product</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team</li><li>Exposure to cutting-edge AI, distributed systems, and hardware-level optimization</li><li>Competitive salary with performance-based incentives</li><li>24 days annual leave, plus public holidays</li><li>Health insurance</li><li>Modern office in Yas Creative Hub</li><li>Continuous learning through real-world problem solving &mdash; not just theory</li><li>The opportunity to shape what you're working on and influence product direction</li><li>A diverse, open-minded team where ideas are genuinely heard</li></ul><p>08. HOW TO APPLY</p><p>As part of your application, please share:</p><ul><li>A diagram or description of a multi-agent system you've built (or would build).</li><li>An example of a complex prompt using tools/function calling.</li><li>Your approach to enforcing access control across agent systems.</li></ul><p>Application Question(s):</p><ul><li>Do you understand tokenization, logits, temperature, and their effect on LLM output behavior?</li><li>Have you ever implemented a Retrieval-Augmented Generation (RAG) pipeline from scratch (not using a managed service)?</li><li>On a scale of 1&ndash;5, how confident are you in building prompts resistant to injection attacks? (1 = not confident, 5 = expert)</li><li>Rate your understanding of API authentication methods (OAuth, API keys, JWT)? (1 = vague, 5 = expert)</li><li>Have you built a self-correcting prompt with an automated feedback loop?</li><li>Number of years of professional experience in LLM engineering (0, 1, 2, 3, 4, 5+).</li><li>Is your portfolio submission complete with all three requested items (diagram, complex prompt, access control thoughts)?</li><li>Have you built or deployed a multi-agent system (not just single-agent chatbots)?</li><li>Have you implemented function calling (tools) where an agent executes external APIs autonomously?</li><li>Number of production LLM automation projects you have shipped? (0, 1&ndash;2, 3&ndash;5, 6-8, 10+)</li><li>Have you integrated LLM agents with CRM, database, or CI/CD pipelines?</li><li>Can you build an API wrapper around an agent that handles async webhooks?</li><li>Rate your Python proficiency (1 = basic, 5 = architect-level)</li><li>Rate your TypeScript proficiency (1 = basic, 5 = architect-level)</li></ul><p>Work Location: In person</p>

AI Automation Engineer / Architect of Agentic AI (Automator)

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