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VALUEMOMENTUM Inc

<div><div><b>Job Title:</b> AI/ML Lead
</div><div><b>Job ID:</b> POS-18617</div>
<div><b>Primary Skill:</b> AWS Services</div><br>
<br>
<p></p><div><p><b>Key Skills: </b>AI, ML, Generative AI, GitHub CoPilot, Prompt Engineering, Python<br>
<b>Mode of Work:</b> Work From Office (4 Days)<br>
<b>Job Location:</b> Hyderabad / Pune
<br>
<b>Experience:</b> 7 to 12 Years</p><p></p><p><b><br>
About the job:</b></p><p>
We are looking for an experienced AI Engineer with a strong background Artificial Intelligence, Machine Learning, Generative AI, Coding Assistants, AI Assistants and Agile Software Development. The successful candidate will be responsible for every stage of AI, Generative AI development, from conceptualization and design to rigorous testing and successful deployment.</p><p></p><p><b><br>
Know your team:</b></p><p>
At ValueMomentum&rsquo;s we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.</p><p>
Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.</p><p></p><p><b><br>
Responsibilities:</b></p><ul><li>
Lead the design, development, and deployment of AI/ML and Generative AI solutions aligned with business objectives.</li><li>
Drive end-to-end AI initiatives, collaborating with product, engineering, data science, and business stakeholders.</li><li>
Architect scalable AI applications leveraging LLMs, RAG pipelines, Agentic AI frameworks, vector databases, and cloud-native services.</li><li>
Provide technical leadership in Python, AI/ML frameworks, Prompt Engineering, LangChain, Semantic Kernel, AutoGen, and Azure OpenAI.</li><li>
Define AI architectures, model selection strategies, data ingestion, embeddings, retrieval mechanisms, and optimization approaches.</li><li>
Lead the development of AI Copilots, Coding Assistants, and intelligent automation solutions across enterprise use cases.</li><li>
Establish best practices for prompt engineering, model evaluation, governance, responsible AI adoption, and solution quality.</li><li>
Drive integration of AI services with enterprise applications using OpenAI, Azure OpenAI, APIs, Azure AI Search, and Cosmos DB.</li><li>
Ensure solution scalability, security, reliability, performance, and cost optimization through cloud-native and CI/CD practices.</li><li>
Mentor engineering teams through architecture reviews, code reviews, technical coaching, and AI adoption initiatives.</li><li>
Evaluate emerging AI, LLM, and Agentic AI technologies and translate them into business value.</li><li>
Partner with leadership to define AI roadmaps, manage risks, and deliver measurable business outcomes.</li></ul><p></p><p><b><br>
Requirements:</b></p><ul><li>
Hands-on Experience in either of the following programming languages &ndash; Python /C# / Java/ JavaScript</li><li>
AI-centric libraries like TensorFlow, PyTorch, Keras</li><li>
Deep proficiency with AI/ML frameworks and libraries including TensorFlow, PyTorch, and Keras, with the ability to architect scalable training and inference pipelines.</li><li>
Strong command of Cloud &amp; MLOps platforms, such as AWS SageMaker, Azure Machine Learning, Google AI Platform, including experience building automated model deployment, monitoring, and retraining pipelines.</li><li>
Expertise in generative models such as generative adversarial networks (GANs), variational autoencoders (VAEs)</li><li>
Hands-on Experience in using Coding Assistants &ndash; GitHub Copilot, Codium, ChatGPT</li><li>
Hands-on Experience in using Agentic AI Platforms &ndash; Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude etc</li><li>
Experience with cloud platforms like AWS, Azure, GCP</li><li>
Provide direction, mentorship for junior AI engineers in all projects related aspects</li><li>
Participate &amp; perform code reviews of Generative AI, AI Components &amp; Codebase</li><li>
Strong problem-solving skills with the ability to quickly identify the root cause of Java application incidents and perform effective troubleshooting.</li><li>
Excellent verbal and written communication skills for interacting with both technical teams and business stakeholders.</li></ul><p><b><br>
Good To Have:</b></p><ul><li>
Experience in developing, managing products/solutions using .NET Platform / Java Platform either the Full Stack &amp; Monolith</li><li>
Understanding &amp; working knowledge of Classic ASP, VB6</li><li>
Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI) and DevOps tools (e.g., Docker, Kubernetes) for continuous delivery of Java applications.</li><li>
Basic understanding of cloud security best practices</li></ul><br>
</div><br>
<div><div><b>About the Company:</b><br>
Founded in 2000 with the core belief that impactful change comes from deep commitment, ValueMomentum specializes in delivering measurable results across the P&amp;C value stream. For more than 25 years, we have empowered more than 100 carriers to reimagine their businesses with AI and emerging technologies, navigate market shifts, unlock speed to value, and become future-ready. We help insurers in the US, Canada, and Europe stay ahead with sustained growth and high performance to enhance stakeholder value and foster resilient societies. For more information, visit ValueMomentum<br>
</div><br>
<div><b>Benefits:</b><br>
We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
<ul><li>Competitive compensation package.</li>
<li><i>Career Advancement: </i>Individual Career Development, coaching and mentoring programs for professional and leadership skill development.</li>
<li>Comprehensive training and certification programs.</li>
<li><i>Performance Management: </i>Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.</li></ul></div></div></div>

AI/ML Lead

p99soft

<div><div>10-15
</div><div>Hyderabad
</div><div>Full-Time</div></div>
<br><div><div>Data Architect</div><div><b>
Location:</b> Hyderabad</div><div><b>
Work Mode:</b> Hybrid</div><div><b>
Experience:</b> 10+ Years</div><div>
About the Role</div><div>
P99Soft Pvt Ltd is looking for an experienced and highly driven <b>Data Architect </b>to join our growing data engineering team. We are seeking a candidate with deep expertise in modern data platforms, cloud technologies, and AI-driven solutions who can lead the design and implementation of scalable enterprise data architectures.</div><div><b>
Role Summary</b></div><div>
We are looking for a <b>Data Architect</b> with <b>10+ years of experience</b> to design and lead a modern enterprise data platform on <b>Snowflake</b>. This platform will be built around <b>Data as a Product</b> and <b>Analytics as a Product</b>, and must support <b>BI-ready</b>, <b>AI-ready.</b></div><div></div><div><br>
The ideal candidate will bring deep experience in <b>enterprise data architecture</b>, <b>data modeling</b>, <b>Snowflake</b>, <b>data governance</b>, <b>semantic design</b>, and <b>modern data platform tooling</b>, including strong familiarity with <b>dbt</b>, <b>Airflow</b>, <b>Alation</b>, and <b>Snowflake Cortex</b>. The role requires both strategic architecture leadership and practical implementation guidance across product design, transformation patterns, metadata, lineage, orchestration, governance, certified metrics, and AI-ready analytical services.</div><div><b>
Required Qualifications</b></div><ul><li><b>
10+ years</b> of experience in enterprise data architecture, data platform design, and data modeling.</li><li>
Strong experience designing and implementing modern cloud data platforms on <b>Snowflake</b>.</li><li>
Strong experience with <b>data governance</b>, <b>metadata standards</b>, <b>data lineage</b>, <b>access architecture</b>, and <b>certified semantic/metric design</b>.</li><li>
Strong experience with <b>dbt</b> for modular transformation design and semantic-model or metric-layer concepts. dbt documents semantic models and the Semantic Layer as centralized ways to define and use metrics.
</li><li>Strong experience with <b>Airflow</b> for enterprise orchestration, workflow dependency management, and production scheduling. Apache Airflow describes DAGs as the core concept that encapsulates workflow scheduling, tasks, dependencies, and callbacks.
</li><li>Strong experience with <b>Alation</b> or similar enterprise catalog / metadata / lineage platforms, including governed discovery and stewardship workflows.
</li><li>Strong understanding of <b>Snowflake Cortex</b> capabilities and how to safely incorporate natural-language analytics, retrieval, and agentic experiences into an enterprise data platform. Snowflake documents Cortex Analyst, Cortex Search, and Cortex Agents as separate but related capabilities for these use cases.
</li><li>Strong experience designing platforms that must support both <b>BI-ready</b> and <b>AI-ready</b> data assets.</li></ul><div><b>
Why Join Us?</b></div><ul><li>
Opportunity to work on cutting-edge data and AI initiatives.</li><li>
Collaborative and innovation-driven work culture.</li><li>
Exposure to enterprise-scale cloud and analytics projects.</li><li>
Career growth and leadership opportunities.</li></ul><div><b>
P99soft is an equal-opportunity employer:</b></div><div>
P99soft is an equal-opportunity employer. At P99soft, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.</div><div></div><div><b><br>
Life@P99soft:</b></div><div>
At P99soft, we believe in creating a work environment that balances professional excellence with personal well-being. Our vibrant office culture is built on mutual respect, inclusivity, and a shared passion for innovation. We host regular team-building activities, workshops, and social events to foster a sense of community and collaboration among our employees. Join us and be part of a team that values your contributions and supports your growth</div><div></div><div><b><br>
About Us:</b></div><div>
P99soft is a leading IT Services and IT Consulting company dedicated to making our customers' business operations seamless by providing them with digital services and applications using the latest technologies. We are committed to bringing excellence to all our creations. We need passion, empathy, and being customer-focused to achieve technical excellence. We believe in transparency through open communication and work with honesty and integrity while dealing with our customers and partners.</div><div></div><div><b><br>
Our Vision: </b>&ldquo;To lead digital transformation for our customers, delighting them at every step, while empowering our employees and fostering success.&rdquo;</div><div></div><div><b><br>
Our Mission: </b>&ldquo;To attain our objectives within a framework of integrity, transparency, and respect for our clients, employees, partners, and the community, fostering mutual trust and sustainable growth.&rdquo;</div><div></div><div><br>
Journey towards digital transformations begins here. Our talented teams help you make informed decisions, enhance operation efficiencies, create state-of-the-art visual interfaces, and design dynamic workflows to bring a better customer experience. Our engineering teams take complete ownership of assigning the right talent and architecting solutions using the latest technologies.</div><div></div><div><br>
Please send your profiles to sravani.chiruvolu@p99soft.com</div></div><div></div>

Data Architect

Octo Outsourcing

<p>AWS Native Full-Stack / AI Platform Developer</p><p><b>Location:</b> Pakistan / Remote<br/><b>Employment Type:</b> Full-time<br/><b>Company:</b> Octo Apps / OctoApps.ai<br/><b>Department:</b> Cloud, AI Engineering, DevOps &amp; Platform Operations<br/><b>Reports To:</b> Chief Architect / Principal AI Developer</p><p>About the Role</p><p>We are looking for a strong <b>all-rounder AWS Native Developer</b> who can take full ownership of development, testing, security, deployment, troubleshooting, and platform operations for the <b>Octo Apps platform on AWS</b>.</p><p>This role is not limited to coding only. The ideal candidate must understand how application development, AWS infrastructure, DevOps, testing, monitoring, security, APIs, and AI features work together to deliver a stable, scalable, and production-ready platform. The candidate will be responsible for helping us complete, stabilize, secure, and operate Octo Apps with a target of <b>99.99% availability</b>.</p><p>You will work directly with the Chief Architect to build and manage <b>Octo Apps AI</b>, including AI-powered developer productivity tools, automation workflows, RAG-based knowledge systems, phone-system integrations, messaging APIs, and cloud-native application services.</p><p>Key Responsibilities</p><ul><li>Take end-to-end ownership of assigned Octo Apps modules, including development, testing, deployment, monitoring, troubleshooting, and support.</li><li>Develop, improve, and stabilize AWS-native applications, backend services, APIs, automation workflows, and AI-powered features.</li><li>Manage AWS infrastructure and cloud services such as <b>Lambda, API Gateway, S3, CloudFront, ECS/Fargate, EC2, RDS, DynamoDB, IAM, CloudWatch, Route 53, Secrets Manager, Bedrock, and related services</b>.</li><li>Ensure platform reliability, uptime, performance, scalability, and production readiness with a target of <b>99.99% availability</b>.</li><li>Build and maintain monitoring, alerting, logging, backup, recovery, and incident-response processes.</li><li>Perform application testing, integration testing, API testing, regression testing, security testing, and production validation before releases.</li><li>Identify, troubleshoot, and resolve issues across application code, APIs, database, AWS infrastructure, IAM permissions, environment variables, DNS, SSL, networking, and deployment pipelines.</li><li>Implement security best practices, including IAM least privilege, secrets management, secure API authentication, encrypted storage, secure deployments, and access control.</li><li>Work on AI application features such as prompt workflows, RAG pipelines, vector search, document ingestion, AI agents, automation tools, and AI API integrations.</li><li>Integrate third-party APIs including <b>Meta, WhatsApp, Messenger, Telnyx, Twilio, SendGrid, Stripe, AI APIs, CRM tools, and other business systems</b>.</li><li>Build and maintain CI/CD pipelines using GitHub Actions or similar tools.</li><li>Document architecture, deployment steps, troubleshooting guides, test cases, release procedures, and operational runbooks.</li><li>Proactively recommend improvements for performance, security, reliability, automation, and cost optimization.</li><li>Provide regular status updates, identify risks early, and take ownership until issues are fully resolved.</li></ul><p>Required Skills</p><ul><li>Strong hands-on experience with <b>AWS cloud services</b> and cloud-native application development.</li><li>Good understanding of <b>infrastructure, networking, IAM, serverless, containers, APIs, monitoring, logging, and cloud security</b>.</li><li>Backend development experience using <b>Node.js, Python, FastAPI, Express.js, NestJS, or similar technologies</b>.</li><li>Frontend understanding with <b>React, Next.js, or modern web application frameworks</b>.</li><li>Experience building, consuming, securing, and debugging <b>REST APIs</b>.</li><li>Experience with databases such as <b>PostgreSQL, MySQL, MongoDB, DynamoDB, or RDS</b>.</li><li>Understanding of <b>AI APIs</b>, including OpenAI, Claude, AWS Bedrock, or similar platforms.</li><li>Familiarity with <b>RAG, embeddings, vector databases, prompt engineering, AI workflows, or AI agents</b>.</li><li>Experience with <b>Git, GitHub, CI/CD, environment management, and production deployments</b>.</li><li>Strong testing mindset, including unit testing, integration testing, API testing, regression testing, and release validation.</li><li>Strong security mindset, including authentication, authorization, secrets handling, secure APIs, and access control.</li><li>Ability to debug independently and take ownership of issues until resolution.</li></ul><p>Preferred Skills</p><ul><li>Experience with <b>AWS Bedrock, SageMaker, Lambda, ECS/Fargate, DynamoDB, RDS, S3, CloudFront, CloudWatch, Route 53, and Secrets Manager</b>.</li><li>Experience with vector databases such as <b>Pinecone, Weaviate, Chroma, OpenSearch, pgvector, or similar</b>.</li><li>Experience with <b>Docker, Terraform, CloudFormation, AWS CDK, or infrastructure-as-code</b>.</li><li>Experience with authentication systems such as <b>OAuth, JWT, Cognito, Clerk, Auth0, or custom auth systems</b>.</li><li>Experience integrating communication APIs such as <b>Meta, WhatsApp, Messenger, Telnyx, Twilio, SendGrid, or similar</b>.</li><li>Experience supporting production SaaS platforms, multi-tenant applications, developer tools, contact-center systems, or workflow automation products.</li><li>Basic knowledge of disaster recovery, high availability, load balancing, failover, backup strategy, and incident management.</li><li>AWS certification is a plus but not mandatory.</li></ul><p>Ideal Candidate Profile</p><p>We need someone who can operate like a <b>developer, DevOps engineer, tester, security-minded engineer, and production support owner</b>. The ideal person should not wait for step-by-step instructions. They should be able to investigate problems, review logs, test fixes, improve architecture, secure the platform, document solutions, and make sure the system remains stable and available.</p><p>This person must be comfortable working in a fast-moving startup environment where ownership, accountability, and problem-solving are more important than narrow job boundaries.</p><p>Key Projects You May Work On</p><ul><li>Octo Apps AI developer productivity platform.</li><li>AI-powered automation and workflow tools.</li><li>RAG-based document and knowledge retrieval systems.</li><li>Phone system and messaging integrations with WhatsApp, Messenger, Telnyx, Twilio, and other APIs.</li><li>AWS-native backend services, APIs, infrastructure, and deployment automation.</li><li>Security, monitoring, logging, testing, backup, and high-availability improvements.</li><li>Internal admin dashboards, API routing, AI workflow orchestration, and production support tools.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, IT, or equivalent practical experience.</li><li>4+ years of software development, cloud engineering, DevOps, or platform engineering experience.</li><li>2+ years of hands-on AWS experience preferred.</li><li>Experience with AI application development, AI APIs, or automation platforms preferred.</li><li>Strong communication, ownership, documentation, and troubleshooting skills.</li></ul><p>Compensation</p><p>Market-competitive salary based on experience, ownership level, and technical capability. Performance-based growth opportunities may be available as the platform scales.</p><p>How to Apply</p><p>Please send your resume, GitHub/profile links, AWS project experience, production support experience, and examples of any AI/API/cloud projects you have worked on.</p><p>Pay: Rs175,000.00 - Rs250,000.00 per month</p><p>Work Location: Remote</p>

AWS Full Stack Developer

Q-Solutions

<p><b>Core Mission</b></p><p>Architect the future of enterprise software by building autonomous, agentic AI ecosystems for industry-leading platforms.</p><p><b>Who We Are &amp; What We Are Building</b></p><p>At Q-Solutions, we don't just write code; we engineer sophisticated, cloud-native distributed systems. We are a specialized technology services organization transitioning rapidly away from traditional software cycles into a fully realized Agentic Development Life Cycle.</p><p>One of our flagship enterprise products is a market-leading health and safety training platform trusted by major US and European construction, engineering, and manufacturing firms. We are currently rebuilding the foundation of this platform&mdash;and our broader product ecosystem&mdash;to integrate autonomous AI agents, dynamic regulatory compliance scrapers, and automated private-label deployment engines.</p><p>We are looking for a brilliant, adaptive developer to join our core team and lead this engineering evolution.</p><p><b>Who You Are</b></p><ul><li>You value Impact over Activity. You don't count lines of code or hours spent at a desk; you care about shipping resilient, intelligent software that solves complex problems.</li><li>You are a professional &quot;Vibe Coder.&quot; To you, AI tools aren't a crutch for the inexperienced&mdash;they are an accelerator for the elite. You utilize AI to generate code at a rapid velocity, but maintain absolute, active control, verification, and expert modification over every output.</li><li>You are obsessed with Agents. Building simple wrapper apps or static chatbots bores you. You want to orchestrate multi-agent workflows, tool-use loops, and self-correcting autonomous systems.</li></ul><p><b>Key Responsibilities</b></p><ul><li>Build Agentic Infrastructure: Design and implement specialized AI agents capable of parsing shifting federal OSHA/EPA regulations, updating course logic dynamically, and interacting intelligently with enterprise B2B ecosystems.</li><li>Modern Full-Stack Development: Ship robust, scalable microservices and serverless architectures. Optimize backends for low-latency multi-agent communication and frontends for seamless UX.</li><li>Scale Private-Label Automation: Refine and scale our automated white-label systems, making it effortless for external enterprise organizations to deploy bespoke versions of our platforms.</li><li>Evolve the Engineering Pipeline: Work at the bleeding edge of the Agentic Development Life Cycle, actively using AI to multiply your development output while maintaining flawless architectural integrity and test automation.</li></ul><p><b>Technical Requirements</b></p><ul><li>Core Stack: Strong proficiency in modern enterprise web development (Node.js, Python, TypeScript, modern frontend frameworks, and cloud-native architecture).</li><li>AI Ecosystems: Hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, CrewAI, etc.), vector databases, semantic search, and structured prompt evaluation.</li><li>System Design: Solid understanding of event-driven architectures, API design (REST/GraphQL), and distributed system performance.</li><li>Mindset: An aggressive learner who values technical autonomy, picks up new frameworks in an afternoon, and thrives in an agile, high-trust environment.</li></ul><p><b>What&rsquo;s In It For You?</b></p><ul><li>Greenfield Architecture: You won&rsquo;t be stuck maintaining dusty legacy code. You will actively design how AI and agentic automation redefine major industrial and commercial platforms.</li><li>Elite Technical Culture: Work in a team where using AI to code faster and smarter is an engineering standard, led by a leadership team that speaks your language.</li><li>Global Footprint: Your code will directly power platforms serving a massive B2B client base across North America and Europe, managing real-world safety compliance at scale.</li></ul><p><b>How to Apply</b></p><p>Skip the generic CV summaries. Send us a brief breakdown of the coolest agentic workflow or AI tool you&rsquo;ve built, modified, or broken recently, the architectural choices you made, and why it fired you up.</p><p>Work Location: In person</p>

AI & Agentic Systems Engineer (Full-Stack)

Volga Partners

<div><p><b>Location</b><br>
Islamabad, Pakistan<br>
House #571, Street #35, E-11/3, Islamabad</p><p><b>
Employment Type</b><br>
Full-time</p><p><b>
Work Setup: Hybrid
</b><br>
3 days in office<br>
2 days remote</p><p><b>
Compensation</b><br>
PKR 600,000 &ndash; 850,000 per month<br>
(Compensation will be determined based on experience, software and AI background, technical expertise, AI product experience, and overall alignment with the role).</p><p></p><p><b><br>
About Volga Partners</b></p><p>
Volga Partners is a global technology and AI solutions company focused on building innovative products, platforms, and intelligent systems that solve real-world business challenges. Our teams work across AI, software development, automation, data operations, and enterprise technology solutions supporting clients and products on a global scale.</p><p>
We are building the next generation of AI-powered products and platform experiences and are seeking a Product Manager who thrives in fast-paced environments, enjoys solving complex problems, and can connect customer needs, business goals, and technology into a clear product vision.</p><p></p><p><b>
About the Role
</b></p><p>We are seeking a highly experienced Senior Software &amp; AI Engineer to join our growing engineering team. The ideal candidate will possess extensive experience in full-stack software development, system architecture, cloud technologies, artificial intelligence, and modern software engineering practices.</p><p>
This role requires a hands-on technical leader capable of designing, developing, and deploying scalable enterprise applications while leveraging AI technologies to build innovative solutions. The candidate should be comfortable working across multiple programming languages, frameworks, and cloud environments.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Design, architect, and develop scalable enterprise-grade software applications.</li><li>
Lead the development of AI-powered products and features utilizing modern AI/ML technologies.</li><li>
Build and maintain high-performance backend services, APIs, and distributed systems.</li><li>
Develop modern web applications and user interfaces using current frontend frameworks.</li><li>
Design database architectures and optimize application performance.</li><li>
Integrate third-party services, APIs, payment gateways, and cloud-based solutions.</li><li>
Collaborate with product managers, designers, and stakeholders to define technical requirements.</li><li>
Implement security best practices and ensure compliance with industry standards.</li><li>
Mentor junior and mid-level engineers and conduct technical reviews.</li><li>
Drive architectural decisions and establish engineering best practices.</li><li>
Participate in Agile development processes and technical planning.</li></ul><p></p><p><b><br>
Required Qualifications</b></p><p>
Experience</p><ul><li><b>
Minimum 8 years of professional Software/AI engineering experience.</b></li><li>
Proven experience delivering large-scale production applications.</li><li>
Strong experience working with international teams and remote environments.</li><li>
Experience leading technical projects and mentoring engineering teams.</li></ul><p>
Programming Languages</p><p>
Candidates should have strong experience with most of the following technologies:</p><ul><li>
JavaScript</li><li>
TypeScript</li><li>
Python</li><li>
Java</li><li>
C#</li><li>
Go (Golang)</li><li>
PHP</li><li>
C++</li><li>
Rust</li><li>
SQL</li></ul><p>
Frontend Technologies</p><ul><li>
React.js</li><li>
Next.js</li><li>
Angular</li><li>
Vue.js</li><li>
HTML5</li><li>
CSS3</li><li>
Tailwind CSS</li><li>
Redux</li></ul><p>
Backend Technologies</p><ul><li>
Node.js</li><li>
Express.js</li><li>
NestJS</li><li>
Django</li><li>
FastAPI</li><li>
ASP.NET Core</li><li>
Spring Boot</li><li>
GraphQL</li><li>
REST APIs</li><li>
Microservices Architecture</li></ul><p>
Artificial Intelligence &amp; Machine Learning</p><ul><li>
OpenAI API</li><li>
Large Language Models (LLMs)</li><li>
Prompt Engineering</li><li>
AI Agent Development</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Vector Databases</li><li>
LangChain / LlamaIndex</li><li>
Machine Learning Fundamentals</li><li>
AI Workflow Automation</li></ul><p>
Databases</p><ul><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li><li>
SQL Server</li></ul><p>
Cloud &amp; DevOps</p><ul><li>
AWS</li><li>
Azure</li><li>
Google Cloud Platform (GCP)</li><li>
Docker</li><li>
Kubernetes</li><li>
CI/CD Pipelines</li><li>
GitHub Actions</li><li>
Terraform</li><li>
Linux Administration</li></ul><p>
Security &amp; Architecture</p><ul><li>
OAuth</li><li>
JWT Authentication</li><li>
RBAC</li><li>
Secure Coding Practices</li><li>
Distributed Systems</li><li>
Event-Driven Architecture</li><li>
System Design</li><li>
Performance Optimization</li></ul><p></p><p><b><br>
Preferred Qualifications</b></p><ul><li>
Experience building SaaS products.</li><li>
Experience working with healthcare, fintech, or enterprise applications.</li><li>
Knowledge of data engineering and analytics platforms.</li><li>
Experience with AI-powered automation systems.</li><li>
Experience with real-time communication systems and WebSockets.</li><li>
Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li></ul><p></p><p><b><br>
Compensation &amp; Benefits</b></p><ul><li>
Monthly compensation ranging from <b>PKR 600,000 &ndash; PKR 850,000</b></li><li>
90-day probationary period.</li><li>
Eligible for company-sponsored medical insurance upon successful completion of probation.</li><li>
Eligible for holiday pay for designated company-observed holidays after 90 days of employment, subject to company policy.</li><li>
Eligible for Paid Time Off (PTO) in accordance with the company's service-based accrual model and eligibility requirements.</li><li>
Opportunity for career growth, product ownership, and direct impact on company strategy.</li></ul><p></p><p><b><br>
Application Process</b></p><p>
Qualified candidates are encouraged to submit their updated resume along with details of relevant projects, technical expertise, and availability.</p><p>
Only shortlisted candidates will be contacted for interviews.</p></div>

Principal Software & AI Engineer - Pakistan

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Your Role</b></h2>
</div><div><ul><li>Develop and maintain architectural documentation, design blueprints, and technical specifications for all xECM implementation</li>
<li>Troubleshooting &amp; Optimisation: Proactively identify and resolve any technical issues during and after implementations, optimising system performance.</li>
<li>Develop &amp; Design: Architect and design OpenText xECM solutions tailored to the business needs, ensuring scalability, security, and optimal performance.</li>
<li>Integration Expertise: Lead the integration of OpenText xECM with core enterprise systems like SAP, SharePoint, and others.</li>
<li>Project Leadership: Guide the project teams through solution design, technical decisions, and ensure alignment with best practices in ECM.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Your Profile</b></h2>
</div><div><ul><li>Experience: 4+ years of experience in Enterprise Content Management (ECM), with at least 3-5 years in OpenText xECM.</li>
<li>Technical Expertise: Proficiency in OpenText products (xECM, Content Suite), and strong knowledge of integration with systems like SAP, Salesforce, and Microsoft.</li>
<li>Experience in relevant programming languages such as Java, .NET, or ABAP for custom solution development.</li>
<li>Strong understanding of database management systems such as SQL Server, Oracle, etc.</li>
<li>Ability to manage projects, timelines, and deliverables, working effectively in cross-functional teams.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>What you&rsquo;ll love about working here</b></h2>
</div><div><ul><li>You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.</li>
<li>You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.</li>
<li>You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>About Capgemini</b></h2>
</div></div></div><div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

OpenText Extended Enterprise Content Management

Trickle Up

<div><p>We are looking for a Senior Data Engineer to design, build, and maintain enterprise-scale data platforms on Azure. You will own end-to-end data pipelines from raw ingestion to curated, analytics-ready gold layers while driving data quality standards, mentoring junior engineers, and collaborating directly with product and AI teams.</p><b><br>
Requirements</b><p><b><br>
Pipeline Design &amp; Architecture</b></p><ul><li>Architect and manage scalable ETL/ELT pipelines using Medallion Architecture (Bronze  Silver  Gold)</li><li>Design ADF pipelines, data models, and schemas optimised for performance and maintainability</li><li>Build near real-time and batch ingestion solutions across structured and semi-structured sources</li></ul><p><b>
Data Governance &amp; Quality</b></p><ul><li>Implement data quality checks, validation frameworks, and lineage tracking across pipeline layers</li><li>Enforce security controls, access policies, and compliance requirements on ADLS Gen 2 and Azure SQL</li><li>Monitor pipeline SLAs, diagnose performance bottlenecks, and own incident resolution</li></ul><p><b>
Engineering Excellence</b></p><ul><li>Drive CI/CD adoption for data pipelines using Azure DevOps or equivalent tooling</li><li>Define and enforce coding standards, peer-review practices, and documentation norms</li><li>Contribute to Al agent development initiatives as a data platform subject-matter expert</li></ul><p><b>
Collaboration &amp; Mentorship</b></p><ul><li>Partner with data scientists, analysts, and product managers to translate requirements into reliable data products</li><li>Mentor junior engineers through code reviews, design discussions, and structured knowledge sharing</li><li>Participate in Agile ceremonies and contribute to sprint planning, backlog refinement, and technical estimation</li></ul><p></p><p><b>
EXPERIENCE &amp; REQUIREMENTS</b></p><p></p><p><b>
Must-Have</b></p><ul><li>5-6 years of hands-on Data Engineering experience in production environments</li><li>Deep expertise in Azure ecosystem &mdash; ADLS Gen 2, ADF, Azure SQL Database, and Delta Lake</li><li>Strong command of PySpark, Python, and SQL for large-scale data transformation</li><li>Proven track record building and operating Medallion Architecture (Bronze/Silver/Gold) on Azure</li><li>Experience designing data warehouses and data lake solutions at enterprise scale</li><li>Familiarity with CI/CD pipelines, version control (Git), and DevOps practices in a data context</li></ul><p>
Nice-to-Have</p><ul><li>Exposure to AWS or GCP in addition to Azure</li><li>Experience supporting or building Al/ML data pipelines and feature stores</li><li>Knowledge of streaming frameworks &mdash; Kafka, Event Hubs, or Spark Structured Streaming</li><li>Azure certifications (DP-203, AZ-900 or equivalent)</li></ul></div><p></p>

Senior Data Engineer

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