llm engineer

Volga Partners

<div><p><b>Location</b><br>
Islamabad, Islamabad Capital Territory, Pakistan</p><p><b>
Office Location</b><br>
House #571, Street #35, E-11/3, Islamabad, Pakistan</p><p><b>
Monthly Salary</b><br>
PKR 250,000 - PKR 400,000 per month (commensurate with experience and technical expertise)</p><p><b>
Work Setup: Hybrid</b></p><ul><li>
3 days in office</li><li>
2 days remote</li></ul><p><b>
Working Hours</b><br>
07:00 PM to 04:00 AM PKT</p><p><b><br>
About Volga Partners</b></p><p>
Volga Partners is a global leader in Generative AI (GenAI) innovation, building intelligent systems, custom LLM applications, and advanced automation solutions for organizations worldwide. We design, develop, and deploy AI-powered technologies that help organizations solve complex business challenges across industries including finance, healthcare, legal, and technology.</p><p>
With a global workforce of 3,000+ professionals across multiple countries, Volga Partners combines diverse expertise, innovation, and technical excellence to deliver impactful AI solutions at scale.</p><p>
We are seeking an experienced AI &amp; Backend Engineer to help build and scale production-grade AI applications used by global clients. This role is ideal for engineers who have already worked on AI-powered solutions and are comfortable taking ownership of technical initiatives from architecture through deployment.</p><p>
You will work directly with leadership, product teams, and engineering stakeholders to develop scalable backend systems, Retrieval-Augmented Generation (RAG) pipelines, LLM-powered applications, and intelligent automation solutions.</p><p>
This role is designed for experienced engineers who can contribute independently and are seeking long-term growth, ownership, and exposure to cutting-edge AI technologies.</p><p><b><br>
Why Join Volga Partners</b></p><ul><li>
Build real-world AI applications used by global organizations.</li><li>
Work with modern LLM technologies and AI orchestration frameworks.</li><li>
Own projects from design through production deployment.</li><li>
Influence technical architecture and product direction.</li><li>
Collaborate directly with leadership and engineering teams.</li><li>
Join a growing organization focused on the future of Generative AI.</li></ul><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Design and implement scalable backend services and microservices using Python and/or Node.js.</li><li>
Build and deploy production-ready AI solutions, including copilots, chatbots, and workflow automation systems.</li><li>
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.</li><li>
Integrate and manage large language models, including OpenAI, Anthropic, and open-source models.</li><li>
Design secure, performant APIs and backend infrastructure.</li><li>
Process and structure enterprise data for AI workflows.</li><li>
Improve reliability, performance, latency, and cost efficiency of AI systems.</li><li>
Collaborate with product and engineering stakeholders to deliver quality solutions.</li></ul><p></p><p><b>
Qualifications</b></p><p><b>
Required</b></p><ul><li>
4+ years of professional software engineering experience, with a documented track record of building and managing scalable backend architectures.</li><li>
At least 3 years of hands-on experience building AI or LLM-powered solutions into production environments.</li><li>
Demonstrated experience building and supporting scalable backend applications.</li><li>
Experience deploying AI or LLM-powered solutions into production environments.</li><li>
Strong proficiency in Python and/or JavaScript/TypeScript.</li><li>
Experience with RAG architectures, vector databases, embeddings, or AI orchestration frameworks.</li><li>
Experience working with APIs, cloud environments, and modern development practices.</li><li>
Ability to work independently and take ownership of technical solutions from design through deployment.</li></ul><p></p><p><b>
Preferred</b></p><ul><li>
Experience with OpenAI, Anthropic, LangChain, or LlamaIndex.</li><li>
Experience with Pinecone, Chroma, or other vector databases.</li><li>
AWS experience.</li><li>
Experience building agentic AI workflows or automation systems.</li><li>
Experience working with complex enterprise data environments.</li></ul><p></p><p><b>
Important</b></p><p><b>
This is not an entry-level AI role</b>. We are seeking engineers who have prior experience building AI-powered solutions and can contribute independently in a fast-paced environment with minimal supervision.</p><p><b><br>
What We Offer</b></p><ul><li>
Monthly salary of PKR 250,000 - PKR 400,000 based on experience and technical expertise.</li><li>
Opportunity to build and own production of AI applications used by global clients.</li><li>
Direct exposure to Generative AI, LLM systems, RAG frameworks, and intelligent automation solutions.</li><li>
High-impact role with visibility to leadership and influence over technical decisions.</li><li>
A collaborative and fast-paced environment focused on execution and innovation.</li><li>
90-day probationary period.</li></ul><p></p><p><b>
Benefits Eligibility</b></p><p>
Upon successful completion of the statutory probationary period, employees become eligible for:</p><ul><li>
Company-sponsored medical insurance, subject to company policy.</li><li>
Paid Time Off (PTO) in accordance with the company's service-based PTO policy.</li><li>
Holiday pay for designated company-observed holidays, subject to company policy.</li><li>
Career growth opportunities, increased ownership, and continued professional development within a rapidly growing AI-focused organization.</li></ul></div>

AI & Backend Engineer - Production AI & LLM Systems | Pakistan

Intégral

<div>Overview:
<div><b>
Agentic Engineer</b></div><div><b>
Location: Tysons Corner, VA (Hybrid)</b></div><div></div><div><br>
At Integral Federal, we invest in our people&mdash;equipping them with the tools, expertise, and culture of innovation needed to deliver measurable results. Committed to exceeding expectations and delivering mission impact, our team thrives on solving complex challenges, optimizing performance, and ensuring long-term success for our clients.</div><div></div><div><b><br>
The Role:</b> We are looking for a curious builder to join our team and develop AI Agents. You will design, build, and deploy autonomous agents and LLM-powered applications across AWS, Google Cloud, and Microsoft Azure.</div><div></div><div><br>
We do not require a Master&rsquo;s degree, a Bachelor&rsquo;s degree, or any degree at all. We care about your understanding of modern AI architectures and your drive to repetitively solve problems. If you are the type of developer who loves tinkering with multi-agent workflows, experimenting with the Model Context Protocol (MCP), and testing the limits of new foundation models, you belong here.</div><div></div><div><b><br>
Work Authorization</b>: Candidates must be authorized to work in the U.S. without the need for an employer-sponsored visa now or in the future.</div>
Responsibilities:
<ul><li>Design and build autonomous AI agents using the latest large language models (LLMs) and orchestration frameworks.</li><li>
Implement and leverage the Model Context Protocol (MCP) to seamlessly connect our AI models with external tools, APIs, and data sources.</li><li>
Move beyond prototypes by building rigorous evaluation (Evals) pipelines and implementing LLM observability to ensure agents run reliably without hallucinating or getting stuck in infinite tool-calling loops.</li><li>
Deploy AI solutions across multi-cloud environments, utilizing the best tools available on AWS, Google Cloud (GCP), and Microsoft Azure.</li><li>
Translate complex, ambiguous problems into functional, robust, production-ready code.</li><li>
Stay plugged into the bleeding edge of the AI landscape, bringing new tools, papers, and open-source projects to the team's attention.</li><li>
Work closely with other engineers to securely and efficiently integrate agentic workflows into our existing infrastructure.</li></ul>
Qualifications:
<div><b>
What You Must Bring (Required):</b></div><div></div><ul><li><b><br>
Proof of Capability:</b> Personal projects, GitHub repositories, or open-source contributions demonstrating your ability to build AI apps or agents. (Please include links in your application).</li><li><b>
LLM &amp; Agent Experience</b>: Hands-on experience working directly with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and building agentic loops (tool calling, memory management, reasoning).</li><li><b>
Protocol Knowledge:</b> Familiarity with or a strong desire to master the Model Context Protocol (MCP) for tool integration.</li><li><b>
Cloud Fluency:</b> Experience deploying applications or running experiments on at least one major cloud provider (AWS, GCP, or Azure) and a willingness to learn the others.</li><li><b>
Builder&rsquo;s Mindset:</b> An insatiable curiosity, a high tolerance for ambiguity, and the grit to troubleshoot novel problems.</li></ul><div></div><div><b><br>
Bonus Points (Preferred):</b></div><br>
<div></div><ul><li>
Experience fine-tuning models or working with local, open-weight models.</li><li>
Experience testing models to create a baseline and identify drift</li><li>
Experience building custom tools, robust RAG pipelines, or complex data ingestion pipelines from scratch.</li></ul><div>
Salary range: $90,000 - $175,000</div><div>
The above salary range represents a general guideline. Integral Federal considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidate's experience, education, skills, and current market conditions.</div><div>
Depending on the position, employees may be eligible for overtime, shift differential, and/or discretionary bonuses in addition to base pay.</div>
Company Overview:
<div>
Integral partners with federal defense, intelligence, and civilian leaders to tackle their most important challenges and deliver positive outcomes. Since our founding in 1998, we have helped clients leverage existing and emerging technologies to transform their enterprises, empower growth, drive innovation, and build sustainable success. The forward-leaning solutions we deliver are tailored to each mission with a focus on keeping our nation safe and secure.</div><div></div><div><br>
Integral is headquartered in McLean, VA and serves clients throughout the country.</div><div></div><div><br>
We offer a comprehensive total rewards package including paid parental leave and immediate vesting in our 401(k). Give us a try and become part of a curated group of professionals at Integral Federal!</div><div></div><div><br>
Our package also includes:</div><ul><li>Medical, Dental &amp; Vision Insurance</li><li>Flexible Spending Accounts</li><li>Short-Term and Long-Term Disability Insurance</li><li>Life Insurance</li><li>Paid Time Off &amp; Holidays</li><li>Earned Bonuses &amp; Awards</li><li>Professional Training Reimbursement</li><li>Employee Assistance Program</li></ul><div></div><div><br>
Equal Opportunity Employer/Protected Veteran/Disability</div></div>

Agentic Engineer

Commencis

<div><div><p>At Commencis, we are seeking a <b>Senior AI Software Engineer</b> to join our AI Lab ecosystem. In this role, you will design, build, and scale production-grade LLM applications and AI-powered systems that solve real-world enterprise problems.</p>
<p>
You will take technical ownership across the full lifecycle of AI systems, from architecture and data pipelines to deployment, evaluation, monitoring, and continuous optimization. Working closely with product, software, and business teams, you will help shape AI-first solutions that create measurable impact.</p>
<p><b>
If you are curious by nature, adaptive, collaborative, technically hands-on, and always one step ahead, then join us and be a Commencer!</b></p>
</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div>
<ul><li>Lead the design and development of production-grade LLM applications and AI-powered enterprise system</li>
<li>Architect scalable AI system components, including data pipelines, model integration, orchestration layers, evaluation workflows, and deployment infrastructure</li>
<li>Collaborate with product, software, and business teams to translate enterprise needs into reliable AI solutions</li>
<li>Design and orchestrate LLM-based workflows using modern frameworks, tools, and cloud-native architectures</li>
<li>Drive proof-of-concept initiatives and turn promising ideas into scalable production solutions</li>
<li>Adapt, fine-tune, and optimize machine learning and generative AI models where needed</li>
<li>Implement and improve MLOps practices using containerization, Kubernetes, MLflow, cloud services, and CI/CD pipelines</li>
<li>Evaluate AI applications in terms of quality, reliability, latency, cost, safety, and business impact</li>
<li>Mentor engineers on AI engineering best practices, code quality, and production readiness</li>
<li>Follow emerging AI techniques and share insights through prototypes, technical documentation, and internal knowledge-sharing</li>
<li>Advocate for responsible AI principles, ensuring fairness, transparency, privacy, and security</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div>
<ul><li>BSc, MSc, or PhD in Computer Science, Engineering, or a related field</li>
<li>Strong hands-on experience with Python and modern machine learning frameworks such as PyTorch or TensorFlow</li>
<li>Proven experience designing, building, and deploying production-grade AI, ML, or LLM-based systems</li>
<li>Solid understanding of transformer-based architectures and generative AI systems</li>
<li>Experience adapting, fine-tuning, or optimizing generative models, including open-source LLMs</li>
<li>Strong understanding of modern LLM system design patterns, including retrieval, tool use, context engineering, evaluation, and agentic workflow orchestration</li>
<li>Experience with containerization, Docker, Kubernetes, cloud platforms, and CI/CD pipelines</li>
<li>Experience with at least one orchestration framework or platform for building LLM-based applications</li>
<li>Familiarity with MLOps practices, including model monitoring, experiment tracking, evaluation pipelines, and production model lifecycle management</li>
<li>Ability to make sound technical decisions considering scalability, reliability, performance, security, and cost</li>
<li>Comfortable working with AI-assisted software development workflows and using modern coding agents to accelerate planning, implementation, testing, and iteration</li>
<li>Strong collaboration and communication skills, with the ability to work effectively across product, engineering, and business teams</li>
</ul></div><h3 class="jobSectionHeader"><b>Nice to Have</b></h3><div>
<ul><li>Contributions to open-source AI projects</li>
<li>Expertise in LLM evaluation, guardrails, observability, and performance-cost optimization</li>
<li>Experience with frameworks such as LangGraph, GoogleADK, or similar tools
</li><li>Experience with multimodal AI, graph-based AI systems, reinforcement learning, or other advanced AI domains</li>
<li>Experience designing AI systems for enterprise-scale use cases</li>
<li>Active engagement in AI communities such as Kaggle, Hugging Face, or similar platforms</li>
<li>Experience mentoring engineers or leading technical initiatives in AI/ML teams</li>
</ul></div><div><div><b>Why Commencis?</b></div>
<div></div>
<div>We want people to thrive at Commencis. Here&rsquo;s what Commencers like about working here:</div>
<div></div>
<div>Competitive Compensation &amp; Benefits: We offer a competitive salary, private health insurance, pension and retirement plans through a company-backed pension system, meal card, commute compensation, work-from home support and paid birthday off.</div>
<div></div>
<div>Happier Weekdays: We offer flexible working hours including remote working option. Online events, guest speakers, refreshments in the office, meeting-light culture, and many more to enjoy the weekdays.</div>
<div></div>
<div>Never Stop Learning: We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.</div>
<div></div>
<div>Community &amp; Socials: We are a tight-knit community that loves gathering. Our social activities include happy hours, workshops, new year party, breakfast &amp; lunch get-togethers, movie nights, and our Summer Festival.</div>
<div></div>
<div>Open Culture: We maintain a flat organizational structure with a culture of direct and open communication. We value Commencers&rsquo; voices and address any suggestions and questions you may have.</div>
<div></div>
<div><b>About Commencis</b></div>
<div></div>
<div>Join us in paving the way for a thriving digital society!</div>
<div></div>
<div>Commencis has more than two decades of expertise in the world of experience design, software engineering and cloud technologies. Our products and solutions are used by leading brands in financial services, insurance, airlines and retail in more than 20 countries.</div>
<div></div>
<div>We help our clients around the globe to commence their next evolution and pave the way for a thriving digital society. We love discovering what&rsquo;s next. We value collaboration, curiosity, and an open mindset at work.</div>
<div></div>
<div>If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!</div>
<div></div>
<div>We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.</div>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior AI Software Engineer

Allocate

<div>
 <strong>
  About Allocate
  <br/>
  <br/>
 </strong>
 Allocate is transforming private market investing by enabling RIAs and family offices to seamlessly discover, model, and manage their private market exposure. Our platform combines curated fund and co-investment opportunities with institutional-grade infrastructure. Through a single, data-rich digital experience, clients access top-tier opportunities across venture capital, private equity, private credit, and other private asset classes&mdash;backed by powerful tracking, analytics, and administration tools.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Allocate is looking to add an AI / Extraction Engineer to the team! There's a lot for us to build, and we need a strong engineer with a broad skillset who can jump right in to help us lay the technical foundation for the company's future.
 <br/>
 <br/>
 <strong>
  Essential Responsibilities And Duties
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build, train, and improve machine-learning models for production use.
  </li>
  <li>
   Develop evaluation and feedback loops that measurably improve model performance over time.
  </li>
  <li>
   Stand up the tooling to measure, monitor, and track model quality.
  </li>
  <li>
   Evaluate new models and techniques, and bring the best into production.
  </li>
  <li>
   Collaborate cross-functionally to ship ML-powered capabilities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Must Have Experience
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   4+ years of applied ML / LLM engineering in production, with strong Python.
  </li>
  <li>
   Experience taking models from prototype to reliable production systems.
  </li>
  <li>
   Hands-on model fine-tuning and rigorous evaluation discipline.
  </li>
  <li>
   Proficiency with Git and version control systems.
  </li>
  <li>
   Hands-on experience with AI-assisted development tools such as Claude Code, OpenAI's Codex, or Cursor, and a demonstrated ability to incorporate new tools as they emerge.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Nice to Haves
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Applied NLP, computer vision, or multimodal models.
  </li>
  <li>
   MLOps and model-monitoring tooling.
  </li>
  <li>
   Background in fintech or financial data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Education
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Essential Values &amp; Culture
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Providing our clients with a world-class experience is our number one priority. We obsessively search for ways to improve the experience for our clients and partners&mdash;extraordinary response times, proactivity, and a top-tier experience in everything from product strategy to offline communications.
  </li>
  <li>
   Challenge convention: Instead of detailing all the reasons an idea may not work, we question things to determine how a viable idea may be put into motion.
  </li>
  <li>
   Commitment to continuous improvement: We find ways to personally scale each day by pushing ourselves up the learning curve.
  </li>
  <li>
   Meritocracy, not politics: We place the utmost value on results and reward through merit, not political agendas.
  </li>
  <li>
   Civil Discourse is embraced: Open, intellectually curious conversations are required to consistently arrive at the best decisions. Respect is paramount, but the mission is to get the right answer collectively, not to be right.
  </li>
  <li>
   Embrace technological change: We adopt tools and techniques that make us faster, smarter, and better&mdash;especially around AI and automation&mdash;and drop outdated methods without hesitation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Additional Details
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Location: Fully Remote (all I-9 eligible candidates will be considered).
  </li>
  <li>
   Employment: Full-time. Seniority: Senior professional.
  </li>
  <li>
   Salary: The expected base salary range for this role is $165,000 to $185,000. Actual compensation will be determined based on the candidate's primary work location and other job-related factors including skills, experience, qualifications, interview performance, internal equity, and market data. Candidates located in higher cost-of-living markets, including the San Francisco Bay Area, may be considered within the higher end of the range. This range reflects base salary only and does not include bonus, equity, or benefits; total compensation may also include a discretionary performance-based bonus.
  </li>
  <li>
   Benefits: Medical, dental, and vision; 401(k); and responsible vacation time (PTO).
  </li>
  <li>
   Travel required for team and department offsites. An in-person interview may be required during the process. A broadband internet connection is required. Compliance with Allocate's Code of Ethics is a given for this role.
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $165K - $185K
 <br/>
 <br/>
</div>


Machine Learning Engineer

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><div>Job Description
<div>Job Description
</div></div><div><div><div><div><div><div><div><div><div><p><i>ware engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers.
</i><br>
<br>
<i>With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond.
</i><br>
<br>
<i>We are looking for candidates who
</i></p><ul><li><p><i>Has exceptional engineering skills.
</i></p></li><li><p><i>Has deep ML knowledge with meaningful implementation track records.
</i></p></li><li><p><i>Prioritize deep and strategic thinking.
</i></p></li><li><p><i>Has dedication, patience and resilience to build exceptional product experience.
</i></p></li><li><p><i>Collaborative and win with teams.
</i></p></li><li><p><i>Proactive and bias to action, comfortable in fast-pacing environment.
</i></p></li><li><p><i>Competitive coding winner (ACM-ICPC, etc).
</i></p></li><li><p><i>Startup founders in agentic AI, LLM, area (e.g., YC backed startup)
</i></p></li><li><p><i>Programming &amp; Systems:
</i></p></li><li><p><i>Strong proficiency in Python; solid experience with C++ and/or Java
</i></p></li><li><p><i>Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
</i></p></li><li><p><i>Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
</i></p></li><li><p><i>Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
</i></p></li><li><p><i>Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
</i></p></li><li><p><i>Strong software engineering fundamentals (data structures, algorithms, system design)
</i></p></li><li><p><i>Experience building production-quality systems
</i></p></li><li><p><i>Agentic / LLM Systems
</i></p></li><li><p><i>Practical experience with LLMs and agentic workflows (tool use, planning, memory, multi-step reasoning)
</i></p></li><li><p><i>Experience building end-to-end AI agents or complex AI-driven applications
</i></p></li><li><p><i>Familiarity with prompting, orchestration, and evaluation for LLM-based systems
</i></p></li><li><p><i>Machine Learning &amp; AI
</i></p></li><li><p><i>Hands-on experience with deep learning frameworks
</i></p></li><li><p><i>Strong understanding of ML fundamentals
</i></p></li><li><p><i>Experience implementing and debugging model training, evaluation, and inference pipelines
</i></p></li><li><p><i>Infrastructure &amp; Deployment
</i></p></li><li><p><i>Experience deploying ML systems using Docker and cloud platforms (AWS, GCP, or Azure)
</i></p></li><li><p><i>Familiarity with distributed training or inference and performance optimization
</i></p></li><li><p><i>A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
</i></p></li><li><p><i>Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
</i></p></li><li><p><i>Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
</i></p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Senior Member of Technical Staff - AI Research

Rogo

<div>
 <strong>
  Why Rogo
  <br/>
  <br/>
 </strong>
 Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We're not just improving financial workflows; we're redefining them.
 <br/>
 <br/>
 This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world. With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI.
 <br/>
 <br/>
 Our team is sharp, motivated, and deeply committed to Rogo&rsquo;s mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.
 <br/>
 <br/>
 <strong>
  What You Will Own
  <br/>
  <br/>
 </strong>
 As an AI researcher at Rogo, you will be at the cutting edge of translating recent technological breakthroughs into transformative financial products. You will leverage the latest developments in LLMs and Reinforcement Learning &ndash; technologies we believe will fundamentally reshape knowledge work &ndash; placing you at the heart of this exciting transformation.
 <br/>
 <br/>
 <ul>
  <li>
   Architect end to end learned systems combining the power of LLMs and Reinforcement Learning to automate entire financial workflows
  </li>
  <li>
   Design and build large-scale infrastructure for evaluating answer and response quality, and directly feed this data back into learned systems as a reward
  </li>
  <li>
   Partner closely with product managers and engineers to ensure every solution you build delivers genuine user value and is guided by real needs
  </li>
  <li>
   Raise the bar for code quality, reliability and product velocity. Collaboratively, you'll push yourself and peers to develop technically and interpersonally.
   <br/>
   <br/>
  </li>
 </ul>
 What You Will Need
 <br/>
 <br/>
 <ul>
  <li>
   Bachelors in Computer Science or related degree.
  </li>
  <li>
   3-6 years of experience working on large language model training or post-training (or equivalent PhD)
  </li>
  <li>
   Highly proficient in writing LLM training code in PyTorch or JAX
  </li>
  <li>
   Experience with a strongly typed language (e.g., Rust, C++, or Java)
  </li>
  <li>
   Strong programming skills and general Computer Science knowledge
   <br/>
   <br/>
  </li>
 </ul>
 Bonus
 <br/>
 <br/>
 <ul>
  <li>
   Experience working directly in training or post-training LLM at a frontier lab (OpenAI, Anthropic, DeepMind, Meta)
  </li>
  <li>
   Experience with deep reinforcement learning in any context (autonomous vehicles, robotics, or LLMs)
  </li>
  <li>
   Experience working with data generated by human experts for model training
  </li>
  <li>
   Financial services experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup.
  </li>
  <li>
   You are ambitious. You have fun solving problems that others think are impossible.
  </li>
  <li>
   You are curious. You find joy in learning about AI, technology, and finance.
  </li>
  <li>
   You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity.
  </li>
  <li>
   You are collaborative, organized, thoughtful, and kind.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Rogo?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Up and to the right: Rogo has strong product adoption with the world's leading financial institutions, and we are still early. The upside is enormous.
  </li>
  <li>
   Extraordinary team: we take talent density seriously. You'll do the best work of your career alongside some of the sharpest people in AI and finance.
  </li>
  <li>
   A one-of-one problem: bringing AI to the core of how Wall Street works is one of the most ambitious, technically demanding, and consequential problems today. There is nowhere else you can work on it at this scale.
  </li>
  <li>
   Real ownership: You'll own real surface area and watch the world's most sophisticated users rely on your work.
  </li>
  <li>
   Always at the frontier: we work at the edge of what the best models can do and turn it into products people trust. If you're obsessed with AI, this is where it's happening.
  </li>
 </ul>
</div>


AI Researcher

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description: AI / ML Engineer</b></h1><p><b>
Job Title:</b> AI / ML Engineer<br>
<b>Experience:</b> 3&ndash;11 Years<br>
<b>Location:</b> <b>Riyadh (Onsite)</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are seeking a skilled <b>AI / ML Engineer</b> with <b>3&ndash;11 years of experience</b> to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Cloud AI Platforms</b></h3><ul><li>
Hands-on experience with <b>GCP Vertex AI or Azure Machine Learning or AWS SageMaker</b>.</li><li>
Experience with <b>Azure OpenAI or AWS Bedrock</b> for Generative AI solutions.</li><li>
Experience with <b>BigQuery ML and Dataflow</b> for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader"><b>
Programming &amp; Machine Learning</b></h3><ul><li>
Strong proficiency in <b>Python</b>.</li><li>
Experience developing machine learning solutions using <b>TensorFlow or PyTorch</b>.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader"><b>
Generative AI &amp; LLM Frameworks</b></h3><ul><li>
Experience with <b>Hugging Face and LangChain</b> for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Analytics</b></h3><ul><li>
Experience with <b>Databricks</b> for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader"><b>
MLOps &amp; Deployment</b></h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li><b>
3&ndash;11 years</b> of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
Cloud AI:</b> <b>GCP Vertex AI or Azure Machine Learning or AWS SageMaker</b></li><li><b>
Generative AI:</b> <b>Azure OpenAI or AWS Bedrock</b> <b>and</b> Large Language Models (LLMs)</li><li><b>
Data Processing:</b> <b>BigQuery ML and Dataflow</b> <b>and</b> Databricks</li><li><b>
Programming:</b> Python</li><li><b>
Machine Learning Frameworks:</b> <b>TensorFlow or PyTorch</b></li><li><b>
LLM Frameworks:</b> <b>Hugging Face or LangChain</b></li><li><b>
MLOps:</b> Docker <b>and</b> Kubernetes <b>and</b> CI/CD (Preferred)</li></ul><p>
</p><p>kmeseaCmpf</p></div>

AI / ML Engineer

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