seo specialist

ai engineer

ai engineering lead

software engineer

sqa engineer

site reliability engineer

10Pearls

<div>
 <strong>
  Company Overview
  <br/>
  <br/>
 </strong>
 10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cyber security, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs and high growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity and successful delivery and execution.
 <br/>
 <br/>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled Senior Site Reliability Engineer to join our team. The ideal candidate will have strong experience with Google Cloud Platform (GCP) and DevOps practices, and will play a key role in building, operating, and scaling reliable cloud infrastructure while improving observability, automation, and deployment processes across our platforms.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable and secure cloud infrastructure on GCP and AWS/Azure platforms.
  </li>
  <li>
   Develop and implement CI/CD pipelines for automated build, testing, and deployment processes.
  </li>
  <li>
   Monitor, troubleshoot, and optimize cloud-based systems to ensure high availability, performance, and reliability.
  </li>
  <li>
   Configure and manage Argo CD installations for continuous delivery of applications to Kubernetes clusters.
  </li>
  <li>
   Collaborate with development and operations teams to streamline workflows and improve efficiency.
  </li>
  <li>
   Stay current with emerging cloud technologies and best practices, and provide recommendations for continuous improvement.
  </li>
  <li>
   &NoBreak;Have a thorough process methodology and ability to communicate with all stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of hands-on experience contributing to DevOps transformations and infrastructure evolution.
  </li>
  <li>
   Strong proficiency with Google Cloud Platform (GCP), including services such as Cloud Run, BigQuery, Cloud Storage, and networking.
  </li>
  <li>
   Solid experience with Infrastructure as Code (IaC) tools, preferably Terraform, for provisioning and managing GCP resources.
  </li>
  <li>
   Hands-on experience with containerization technologies, including Docker.
  </li>
  <li>
   Experience with GCP-specific monitoring and logging tools such as Cloud Monitoring, Cloud Logging, Prometheus, and Grafana.
  </li>
  <li>
   Working knowledge of at least one programming language, preferably TypeScript, JavaScript, Go, or Python.
  </li>
  <li>
   Experience using version control systems such as Git.
  </li>
  <li>
   Strong preference for working in agile, fast-paced environments.
  </li>
  <li>
   Proven ability to collaborate effectively across cross-functional teams.
  </li>
  <li>
   Strong teamwork, communication, and problem-solving skills.
   <br/>
   <br/>
  </li>
 </ul>
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Staff/Senior DevOps Consultant (SRE)

Motive

<div><div><p><b>Who we are:</b></p>
<p>
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.</p>
<p>
Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.</p>
<p>
Visit gomotive.com to learn more.</p></div><h3 class="jobSectionHeader"><b>
About the Role:</b></h3>
<p>
As a Cloud Ops Engineer in the Platform Engineering organization, you will be a core member of the team responsible for the operational health, reliability, and observability of the entire Motive platform. Your mission is to ensure our globally distributed, highly-available systems recover from issues quickly and help ensure we avoid future issues. You will spearhead the effort to manage incident response, build world-class monitoring systems, and drive automation across all operational workflows. This is a critical role that improves the daily lives of engineers and ensures a consistent, high-quality experience for all our customers, across all our complex tech stacks from our core SaaS product to our mobile and AI-powered embedded systems. If you are passionate about high-leverage work, automation, continuously improving critical systems and processes, being involved across all areas of engineering, and are able to be the strong calm in the middle of incidents, this is the perfect role for you.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do:</b></h3>
<ul><li>Own and refine the incident management lifecycle and be the incident commander, running communication and triage, and post-incident analysis and follow-ups to drive continuous service improvement.</li>
<li>Manage the central on-call solution and integrations used by over 100 teams from different monitoring and other platforms, leveraging automation and self-serve tools such as terraform.</li>
<li>Analyze operational statistics (MTTR, incident frequency, service-level data) to identify trends and prioritize reliability initiatives and teams' focus.</li>
<li>Improve change management processes and automation to reduce both risk and friction.</li>
<li>Collaborate with engineering teams across the organization to standardize operational practices and develop automated workflows.</li>
<li>Leverage AI for incident analysis, alert/issue solutioning, and automation.</li>
</ul><h3 class="jobSectionHeader"><b>What We're Looking For:</b></h3>
<p>
We are looking for an individual with prior experience in cloud operations, site reliability engineering, or a similar field, who has a passion for improving system reliability and operational processes in a large-scale, distributed environment.</p>
<ul>
<li>Experience managing and participating in a 24/7 on-call rotation and incident response process.</li>
<li>Experience with on-call systems such as Rootly, PagerDuty, Opsgenie, etc.</li>
<li>Experience with monitoring and observability tools (e.g., Datadog, NewRelic, Grafana, etc.).</li>
<li>Ability to communicate clearly and manage incidents, communications, and action items with stakeholders from engineers to directors, and public-facing messaging.</li>
<li>Experience with IT Service Management tools (Jira/JSM) for ticket and change management.</li>
<li>3+ years experience in an incident response role.</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Bonus Skills to have:</b></h3>
<ul><li>Experience with Infrastructure as Code (IaC) tools such as Terraform.</li>
<li>Scripting and automation skills in at least one modern language (Python, Go, Bash) - AI-coding assistance welcomed.</li>
<li>Prior experience in an Ops or SRE team supporting a diverse cloud product.</li>
</ul><div><p><i>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.</i></p>
<p><i>
Please review our Candidate Privacy Notice </i><i>here</i><i>.</i></p>
<p><i>
UK Candidate Privacy Notice </i><i>here</i><i>.</i></p>
<p><i>
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. </i><i>It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</i></p></div></div>

Cloud Ops Engineer

CODE Informatics

<div><div><p>Code Informatics is looking for a skilled and proactive <b>DevOps Engineer</b> to manage and enhance cloud infrastructure, deployment pipelines, and system reliability across Linux and Windows environments. The ideal candidate will collaborate closely with development and QA teams to automate processes, maintain system stability, and support continuous integration and delivery.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Manage and maintain cloud infrastructure (AWS, Azure, or similar).</li>
<li>Set up and maintain CI/CD pipelines for automated builds and deployments.</li>
<li>Install, configure, and maintain Linux and Windows servers/workstations.</li>
<li>Perform OS installations, updates, patching, and system hardening.</li>
<li>Monitor system performance, uptime, and security.</li>
<li>Configure and manage web servers, databases, and environments.</li>
<li>Implement infrastructure as code using tools like Terraform or Ansible.</li>
<li>Manage backups, restoration, and disaster recovery processes.</li>
<li>Troubleshoot production, staging, and development environment issues.</li>
<li>Collaborate with development teams to optimize deployment processes.</li>
<li>Maintain technical documentation and system records.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or a related field.</li>
<li>1&ndash;2 years of experience in DevOps or system administration.</li>
<li>Strong experience with Linux and Windows system administration.</li>
<li>Experience with Docker and containerization.</li>
<li>Hands-on experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins).</li>
<li>Knowledge of AWS, Azure, or Google Cloud.</li>
<li>Experience with Nginx, Apache, and IIS.</li>
<li>Knowledge of MySQL, PostgreSQL, or similar databases.</li>
<li>Scripting experience (Bash, PowerShell, or Python).</li>
<li>Understanding of networking and security best practices.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Experience with Kubernetes or container orchestration.</li>
<li>Knowledge of monitoring tools (Grafana, ManageEngine, etc.).</li>
<li>Familiarity with PHP/Laravel or Node.js environments.</li>
<li>DevOps or cloud certifications.</li>
</ul><h3 class="jobSectionHeader"><b>Key Competencies</b></h3>
<ul><li>Strong problem-solving mindset</li>
<li>Excellent communication skills</li>
<li>Attention to detail</li>
<li>Ability to work in fast-paced environments</li>
<li>Ownership and accountability</li>
</ul></div><div><div><div><div><b>Job Category: </b>Technical
</div><div><b>Job Type: </b>Full Time
</div><div><b>Job Location: </b>Onsite</div></div></div></div></div>

DevOps Engineer

eMumba

<div><div><div><div><div>As Emumba&rsquo;s <b>Senior DevOps Engineer</b>, you&rsquo;ll play a pivotal role in designing and operating highly available, scalable, and secure cloud platforms that power real-world applications.<br>
</div><div>This is about building automation-first ecosystems, advocating DevOps culture, and ensuring our engineering practices align with long-term business impact. You&rsquo;ll work closely with customers and cross-functional teams to transform requirements into resilient, production-grade infrastructure.<br>
</div><div>This role demands ownership, strategic thinking, and a passion for continuous improvement.</div></div></div>
</div><h2 class="jobSectionHeader"><b>Must-Have Qualifications
</b></h2><div><div><div><ul><li>5+ years of hands-on experience in DevOps / Cloud Engineering roles</li>
<li>Strong experience designing highly available, fault-tolerant, and scalable systems in <b>AWS</b>
</li><li>Deep understanding of the <b>AWS Well-Architected Framework</b> (six pillars)</li>
<li>Experience designing CI/CD pipelines for dev, staging, and production environments (GitHub CI, ArgoCD, Jenkins preferred)</li>
<li>Hands-on expertise with <b>Infrastructure as Code</b> (Terraform or AWS CloudFormation)</li>
<li>Experience with container orchestration, preferably <b>Amazon EKS</b>
</li><li>Strong knowledge of monitoring and logging tools (Prometheus, Grafana, ELK)</li>
<li>Solid understanding of cloud security best practices</li>
<li>Proven analytical and problem-solving skills</li>
<li>Ability to mentor and contribute to team growth</li></ul><div><br>
<br>
</div></div></div></div><h2 class="jobSectionHeader"><b>What You&rsquo;ll Do
</b></h2><div><div><div><div><b>Cloud Architecture &amp; Infrastructure</b>
</div><ul><li>Design and deploy highly available, fault-tolerant applications in AWS</li>
<li>Optimize cloud infrastructure according to the AWS Well-Architected Framework</li>
<li>Implement Infrastructure as Code using Terraform or CloudFormation</li>
</ul><div><b>CI/CD &amp; Automation</b>
</div><ul><li>Design and manage CI/CD pipelines across multiple environments</li>
<li>Drive automation-first initiatives across engineering workflows</li>
<li>Utilize configuration management tools such as Ansible, Puppet, or Chef</li>
</ul><div><b>Reliability &amp; Observability</b>
</div><ul><li>Implement monitoring and logging stacks (Prometheus, Grafana, ELK)</li>
<li>Strengthen infrastructure security and resilience</li>
<li>Proactively troubleshoot and resolve production issues</li>
</ul><div><b>Leadership &amp; Cultural Advocacy</b>
</div><ul><li>Champion DevOps culture and continuous improvement practices</li>
<li>Mentor engineers through coaching, feedback, and knowledge sharing</li>
<li>Translate customer requirements into scalable, long-term infrastructure solutions</li>
<li>Align DevOps practices with broader business and project goals</li>
</ul><p>Nice-to-Have</p><ul>
<li>Experience leading teams in customer-facing projects</li>
<li>Exposure to AI tooling in DevOps or LLMOps</li>
<li>AWS Professional Certifications (Solutions Architect Pro, DevOps Pro)</li>
<li>Kubernetes certifications (CKA, CKAD)</li>
<li>Terraform certification (HashiCorp Terraform Associate)</li>
</ul></div></div></div><h2 class="jobSectionHeader"><b>What&rsquo;s In It for You
</b></h2><div><div><div><ul><li>Ownership of impactful cloud and platform initiatives</li>
<li>Work alongside high-performing engineers in a collaborative environment</li>
<li>Exposure to enterprise-scale customer projects</li>
<li>Opportunities to lead through expertise and influence through execution</li>
</ul></div></div></div><h2 class="jobSectionHeader"><b>About Emumba
</b></h2><div><div>Emumba is a global engineering and consulting company with strengths in software development and an established AWS cloud practice focused on Data and GenAI. For 15 years, our teams across the US, the UAE, and Pakistan have earned trust through quality delivery and ownership of work. We look for people who value the culture they work in as much as the craft they bring to it.</div></div></div><p></p>

Senior DevOps Engineer

<div>
 WRP is looking for a highly skilled and hands-on
 <strong>
  Junior
 </strong>
 <strong>
  DevOps Engineer
 </strong>
 to join our team. The successful candidate will have a strong background in cloud infrastructure, automation, security, and distributed systems, with proven experience in designing, implementing, and maintaining scalable and resilient environments. This role requires both strategic thinking and practical execution, with the ability to work collaboratively across teams to ensure efficient software delivery and robust infrastructure operations.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and manage cloud infrastructure solutions with a strong focus on AWS services.
  </li>
  <li>
   Develop and maintain infrastructure automation frameworks, including Infrastructure-as-Code (Terraform, Ansible) and Security-as-Code practices.
  </li>
  <li>
   Deploy, configure, and optimize developer productivity and security tools, including Gatling, SonarQube, DeepFactor, Visual Regression Tracker, and Selenium Grid.
  </li>
  <li>
   Administer and support containerized environments using Docker and Kubernetes (EKS).
  </li>
  <li>
   Monitor, troubleshoot, and optimize infrastructure and application performance through tools such as Prometheus, CloudWatch, ELK, and SignalFX.
  </li>
  <li>
   Manage and support distributed systems and data stores, including Cassandra, MongoDB, ElasticSearch, Couchbase, and Redis.
  </li>
  <li>
   Contribute to system architecture discussions and ensure secure, scalable, and fault-tolerant designs.
  </li>
  <li>
   Collaborate with development teams to streamline CI/CD pipelines and improve developer productivity.
  </li>
  <li>
   Provide operational support, root cause analysis, and performance tuning for production systems.
  </li>
  <li>
   Explore and integrate emerging technologies within the big data ecosystem (e.g., Spark, Kafka, Kinesis, AWS EMR).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience:
 </strong>
 Minimum of 1-2 years in a hands-on DevOps role with proven expertise in distributed systems and automation.
 <br/>
 <br/>
 <strong>
  Databases:
 </strong>
 Demonstrated knowledge and hands-on experience with
 <strong>
  Cassandra
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Containers:
 </strong>
 Strong expertise in
 <strong>
  Docker
 </strong>
 and
 <strong>
  Kubernetes (EKS)
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Cloud:
 </strong>
 Azure, GCP
 <br/>
 <br/>
 <strong>
  Scripting Languages:
 </strong>
 Terraform, Packer, PowerShell, bash, Python
 <br/>
 <br/>
 <strong>
  DevOps Toolings
 </strong>
 <strong>
  :
 </strong>
 Jenkins, Azure DevOps, GitHub
 <br/>
 <br/>
 <strong>
  Systems &amp; Networking:
 </strong>
 Strong foundational knowledge of
 <strong>
  Linux administration, OS concepts, networking, load balancing, and threat modeling
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Monitoring &amp; Logging:
 </strong>
 Experience configuring, maintaining, and supporting monitoring and observability platforms.
 <br/>
 <br/>
 <strong>
  Distributed Data Stores:
 </strong>
 Working knowledge of
 <strong>
  MongoDB, ElasticSearch, Couchbase, and Redis
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Big Data Exposure:
 </strong>
 Familiarity with big data tools and ecosystems, including
 <strong>
  Apache Spark, Kafka, Kinesis, and AWS EMR
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong problem-solving, troubleshooting, and analytical skills.
  </li>
  <li>
   Excellent communication skills with the ability to collaborate across cross-functional teams.
  </li>
  <li>
   Self-driven, detail-oriented, and able to thrive in fast-paced environments.
  </li>
 </ul>
</div>


Junior DevOps Engineer

Fusemachines

<div>
 <strong>
  About Fusemachines
  <br/>
  <br/>
 </strong>
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 <br/>
 <br/>
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 <br/>
 <br/>
 Type: Remote, Full-time
 <br/>
 <br/>
 Job Description:
 <br/>
 <br/>
 This is a role responsible for designing, building, and maintaining the automated testing frameworks and Python SDKs required for data integration, parity verification, and user accessibility in the Industrial IoT / Smart Buildings domain.
 <br/>
 <br/>
 We are seeking a Senior Data Engineer with strong Python and PySpark skills, and proven implementation of automated Data Quality frameworks and CI/CD pipelines, delivering Data and Analytics products using Agile methodology. The ideal candidate will possess strong technical, analytical, and interpersonal skills.
 <br/>
 <br/>
 Qualification / Skill Set Requirement:
 <br/>
 <br/>
 <ul>
  <li>
   5+ years of hands-on data engineering experience with deep expertise in the Azure ecosystem
  </li>
  <li>
   Expert Python skills (building Libraries/SDKs, Py4J)
  </li>
  <li>
   Strong experience with PySpark and DataFrames
  </li>
  <li>
   Experience with Automated Testing frameworks (PyTest, JUnit) for data pipelines
  </li>
  <li>
   Experience with Data Quality tools (Great Expectations, Deequ)
  </li>
  <li>
   Deep understanding of Apache Spark Internals (Catalyst Optimizer, Logical Plans)
  </li>
  <li>
   Experience with Databricks and Delta Lake optimization
  </li>
  <li>
   Solid understanding of SDLC and Agile methodologies with hands-on experience in Azure DevOps, GitHub, CI/CD, and artifact management
  </li>
  <li>
   Skilled in data modeling, data design, and data warehousing solutions on Azure Databricks
  </li>
  <li>
   Knowledge of data governance, and security best practices within Azure (AD, NSG, encryption, compliance)
  </li>
  <li>
   Certifications preferred: Azure Fundamentals, Azure Data Engineer Associate, Databricks Certified Data Engineer Professional and Azure Solutions Architect Expert (nice to have)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement scalable and efficient data solutions on Spark and Flink
  </li>
  <li>
   Develop a Python SDK that wraps core libraries for use in Jupyter Notebooks by data scientist and analyst.
  </li>
  <li>
   Build automated Parity Test Suite: CI/CD pipeline that runs queries against "Golden Datasets" in both Spark and Flink and asserts equality
  </li>
  <li>
   Implement Data Quality (DQ) Rules configuration: Defining thresholds for "Completeness" and "Validity" that can be enforced
  </li>
  <li>
   Manage and optimize Azure and Databricks resources, for performance, reliability, and cost-efficiency
  </li>
  <li>
   Transform, clean, and prepare data using SQL, Python and Java
  </li>
  <li>
   Monitor and fine-tune workloads and pipelines for optimal performance and reliability
  </li>
  <li>
   Maintain CI/CD pipelines
  </li>
  <li>
   Maintain clear documentation of solutions, configurations, and workflows
  </li>
  <li>
   Actively participate in Agile team activities and continuous improvement initiatives
  </li>
  <li>
   Promote and enforce data engineering best practices, including data governance, security, and data quality
   <br/>
   <br/>
  </li>
 </ul>
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
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Sr. Databricks Azure Data Engineer

ImagineArt

<div><h1 class="jobSectionHeader"><b>Principal AI Engineer (LLM Agents &amp; Orchestration)</b></h1><p><b><br>
Role Title:</b> Principal AI Engineer (LLM Agents &amp; Orchestration) <b>Team:</b> Chatly Engineering <b>Focus:</b> Building Autonomous &quot;Super Agents&quot;</p><h2 class="jobSectionHeader"><b><br>
Who We Are</b></h2><p>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.</p><p>
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.</p><p>
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.</p><p>
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.</p><h3 class="jobSectionHeader"><b>
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.</b></h3><h3 class="jobSectionHeader"><br>
<b>
About the Role</b></h3><p>
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new &quot;Super Agent&quot; within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p><b>
Agent Architecture:</b> Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.</p></li><li><p><b>
Integration Ecosystem:</b> Build the &quot;hands&quot; of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.</p></li><li><p><b>
Latency &amp; Reliability:</b> Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).</p></li><li><p><b>
Memory Systems:</b> Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.</p></li><li><p><b>
Evaluation &amp; Observability:</b> Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.</p></li></ul><h3 class="jobSectionHeader"><b>
Technical Requirements</b></h3><ul><li><p><b>
Core Stack:</b> Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).</p></li><li><p><b>
Model Internals:</b> Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with <b>Function Calling/Tool Use</b>.</p></li><li><p><b>
Vector Search:</b> Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.</p></li><li><p><b>
System Design:</b> Experience designing event-driven architectures where agents respond to triggers, not just user prompts.</p></li></ul><p><b>
Why Join Us?</b></p><ul><li><p>
Opportunity to work on innovative AI products like <b>Chatly</b> and <b>Imagine</b>, shaping the future of creativity and user interaction.</p></li><li><p>
Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</p></li><li><p>
Competitive compensation and benefits.</p></li><li><p>
A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</p></li></ul></div><p></p>

Principal AI Engineer (LLM Agents & Orchestration)

Explore 231+ Site reliability engineer in Islamabad this March. Find roles across top companies and apply now to boost your career.