Jobs at Tkxel

Provides technical leadership for enterprise AI initiatives by defining AI/ML architecture, solution patterns, MLOps practices, and production deployment strategies. Designs scalable LLM, RAG, AI agent, and traditional ML solutions across cloud, on-premises, and hybrid environments. Guides model serving, monitoring, versioning, retraining, security, and lifecycle management while mentoring engineering and data science teams and evaluating AI technologies.

Drives revenue by sourcing and qualifying leads, supporting the full sales cycle, building prospective-client relationships, preparing proposals and presentations, coordinating with internal teams, and maintaining accurate CRM records.

Provides hands-on architecture leadership for scalable software solutions. Guides engineering teams, develops prototypes, resolves technical disagreements, translates business objectives into technology strategies, and defines architecture standards and principles. Collaborates with product, development, QA, and DevOps teams while participating in development as needed. Designs cloud-based systems using AWS and Azure, microservices, APIs, databases, Kubernetes, Docker, Redis, Elasticsearch, and SQS.

Leads the architecture, design, and development of scalable enterprise applications using Java and Spring Boot. Defines microservices, distributed systems, APIs, integrations, database strategies, security, performance, and cloud-native deployments. Provides technical leadership and mentorship, drives engineering standards, reviews code, improves CI/CD and observability, troubleshoots production issues, and evaluates emerging technologies.

Designs, implements, and secures enterprise networks across on-premises, cloud, and Kubernetes environments. Manages firewalls, VPNs, routing, access controls, IAM, TLS, segmentation, monitoring, vulnerability remediation, and incident response. Supports secure AI/ML, LLM, API, data pipeline, and model-serving deployments. Partners with DevOps and MLOps teams on secure CI/CD, cloud connectivity, infrastructure hardening, and Kubernetes security.

Supports large-scale SEO projects through link-building campaigns, backlink outreach, technical SEO audits, keyword research, competitor analysis, and performance monitoring. Collaborates with SEO, content, and development teams to implement recommendations across programmatic .NET websites with millions of pages.

Seeking a Sales Development Representative to work US business hours in Eastern Time. Candidates need at least six months of sales experience, strong spoken and written English skills, and a bachelor’s degree.

Develop scalable, secure, and performance-optimized WordPress solutions across backend, frontend, and integrations. Build custom themes, plugins, Gutenberg blocks, and REST API integrations using PHP, JavaScript, MySQL, and modern web technologies. Optimize performance, caching, Core Web Vitals, accessibility, and security while deploying through Git-based workflows. Use AI tools daily for debugging, refactoring, automation, performance analysis, and development productivity, while validating outputs with sound engineering judgment.

Welcomes visitors, maintains the lobby and front desk, provides guidance and support, connects candidates with interviewers, handles calls and follow-ups, maintains records, and assists with office administration and scheduling.

Generates leads through cold email, conducts discovery calls, researches and qualifies prospects, prepares proposals, supports negotiations, follows up with leads, and assists with closing technology-services sales. The role requires strong communication, analytical and research skills, business understanding, resilience, coachability, and willingness to work evening and overnight hours.

Supports the Sales team with daily coordination, administrative tasks, CRM updates, sales reporting, lead and opportunity tracking, data analysis, presentations, and internal coordination. Maintains accurate customer and sales information while assisting with pipeline follow-ups and ad hoc operational needs. The role is designed for fresh graduates or candidates with up to one year of experience.

Designs and maintains scalable, multi-cloud data platforms and ETL/ELT pipelines across GCP, Azure, and AWS. Builds lakehouse architectures, data models, warehouses, and orchestration workflows using BigQuery, Microsoft Fabric, Azure services, Databricks, and Airflow. Develops SQL and Python solutions for transformation and validation, integrates analytics ecosystems, and delivers semantic models and dashboards through Power BI and Looker Studio. Collaborates with technical and business stakeholders to translate requirements into secure, performant data solutions.

Design, build, evaluate, and deploy production-grade generative AI systems, including multi-agent architectures, RAG pipelines, and real-time business applications. Work directly with clients to identify valuable AI use cases, rapidly prototype solutions, explain technical trade-offs, and deliver end-to-end implementations. The role requires strong LLM, prompt engineering, agentic framework, cloud, backend, evaluation, orchestration, and observability expertise.

Design, build, evaluate, and deploy production-grade generative AI systems, including multi-agent architectures, RAG pipelines, and real-time business applications. Work directly with clients to identify valuable AI use cases, rapidly prototype solutions, translate business needs into technical decisions, and own delivery from architecture through handoff. Apply expertise in LLMs, prompt engineering, retrieval, orchestration, evaluation, observability, and cloud platforms while communicating effectively with technical and business stakeholders.

Own end-to-end digital marketing strategy and execution across B2B demand generation, paid media, SEO, content, email, marketing automation, conversion optimization, analytics, and AI search. Manage campaigns, funnels, landing pages, reporting, attribution, and performance improvement while collaborating with leadership, sales, creative, product, and technology teams to generate qualified leads, pipeline, and measurable business outcomes for international technology markets.

Leads SEO strategy and organic growth for a B2B technology company. Responsibilities include technical and on-page SEO, content and semantic strategy, AI search optimization, conversion-focused improvements, analytics, reporting, team leadership, and cross-functional collaboration. The role owns SEO roadmaps, audits, keyword research, content frameworks, technical implementations, performance measurement, and lead-generation outcomes.

Design, develop, and maintain scalable web and backend applications using .NET technologies. Build RESTful APIs, integrate third-party systems, optimize SQL Server databases, and support front-end integrations. Participate in code reviews, testing, debugging, production troubleshooting, CI/CD deployments, and cross-functional collaboration. Apply software architecture, security, performance, scalability, and coding best practices while documenting system changes.

Owns enterprise IT change management, service transition, release coordination, and operational readiness. Governs CAB activities, evaluates risks, coordinates deployments and cutovers, ensures support handover and hypercare readiness, manages vendors and stakeholders, maintains ITSM documentation and reporting, and drives continuous improvement aligned with ITIL practices. The role requires strong experience with ServiceNow, Azure DevOps release management, enterprise technology deployments, governance, compliance, and production support transitions.

Manage end-to-end procurement for IT hardware, software, networking equipment, peripherals, and related services. Source and evaluate vendors, obtain and negotiate quotations, monitor supplier performance, maintain procurement records, and ensure policy and regulatory compliance. Conduct market research, support budgeting and inventory optimization, coordinate internal purchase requests, resolve supplier issues, and identify cost-saving and process-improvement opportunities within the Lahore IT procurement market.

Design, build, deploy, and evaluate production-grade LLM agents and agentic workflows for enterprise customers. Translate ambiguous business needs into reliable, safe, observable, and auditable AI systems integrating tools, APIs, and sensitive data. Build North platform features, create reusable agent frameworks, own use cases end to end, collaborate with stakeholders, and raise engineering quality. The role includes customer-facing technical leadership and 20–40% travel.