technical support engineer

customer service representative Jobs in Cairo

customer service representative

call center agent

call center agent (outsource) Jobs in Cairo

call center agent (outsource)

call center representative

customer support agent

Alshaya Group

<div>
 
 
 Call Center Agent &ndash; Contact Centre
 
 
 
 
 
 
 📍 Location: Cairo - 🕒 Full-time
 
 
 
 
 
 Are you passionate about delivering excellent customer service and creating positive customer experiences? We are looking for a dedicated Call Center Agent to join our Contact Centre team and support customers across multiple channels.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Handle inbound and outbound customer interactions via phone, email, chat, and other digital platforms
 </li>
 <li>
 Take full ownership of customer queries and ensure timely, accurate, and professional resolution
 </li>
 <li>
 Deliver a consistent, high-quality customer experience while building rapport and trust
 </li>
 <li>
 Accurately log and manage all customer interactions using internal systems (BMC Remedy, ININ, COMMS, etc.)
 </li>
 <li>
 Support outbound calling activities and follow-ups when required
 </li>
 <li>
 Follow contact centre processes, scripts, and quality standards to ensure consistency
 </li>
 <li>
 Contribute to improving service quality and Customer Effort Score (CES)
 </li>
 <li>
 Work collaboratively with team members and stakeholders to resolve issues efficiently
 </li>
 <li>
 Adhere to schedules, including shifts, weekends, and public holidays when required
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 <li>
 Fluency in English and Arabic (spoken and written)
 </li>
 <li>
 Strong communication and interpersonal skills
 </li>
 <li>
 Ability to multitask and adapt in a fast-paced, high-volume environment
 </li>
 <li>
 Customer-focused mindset with the ability to handle challenging situations professionally
 </li>
 <li>
 Positive attitude, team spirit, and attention to detail
 </li>
 </ul>
 
 
 
 
 Experience
 
 <ul>
 <li>
 1&ndash;4 years of experience in a customer service or call centre environment
 </li>
 <li>
 Fresh graduates with strong communication skills are welcome to apply
 </li>
 </ul>
 
 
 
 
 Why Join Us
 
 <ul>
 <li>
 Supportive and collaborative team environment
 </li>
 <li>
 Exposure to a dynamic, multi-channel contact centre
 </li>
 <li>
 Ongoing learning, development, and career growth opportunities
 </li>
 <li>
 Employee discounts across our brands
 </li>
 <li>
 Transport allowance
 </li>
 <li>
 Annual bonus scheme
 </li>
 <li>
 Opportunity to contribute directly to customer experience and service excellence
 </li>
 </ul>
 
 
 
 
 If this sounds like you, we&rsquo;d love to hear from you. Apply now and take the next step in your customer service career with us.
 
</div>

Call Center Agent

Intellias

<div>
 
 
 Senior Python Engineer &ndash; Multi-Agent AI (AWS, LangGraph)
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a
 
 Senior Python Engineer
 
 to design and build enterprise-grade
 
 multi-agent AI systems
 
 on AWS. In this role, you will architect and develop intelligent agent solutions using
 
 LangGraph
 
 ,
 
 LangChain
 
 , and
 
 AWS Bedrock AgentCore Runtime
 
 , focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration.
 
 
 You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. The engineering organization develops core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Senior Python Engineer
 
 , you will join the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, LangGraph, and LangChain.
 </li>
 <li>
 Build scalable agent workflows leveraging AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures.
 </li>
 <li>
 Design stateful workflow execution using LangGraph checkpointing, recovery, and persistence mechanisms.
 </li>
 <li>
 Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows.
 </li>
 <li>
 Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows.
 </li>
 <li>
 Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication.
 </li>
 <li>
 Implement memory, context management, and persistence strategies for AI agents.
 </li>
 <li>
 Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments.
 </li>
 <li>
 Collaborate with platform, security, DevOps, and product teams to deliver production-ready AI solutions.
 </li>
 <li>
 Define engineering standards, testing strategies, and operational best practices for agent-based applications.
 </li>
 <li>
 Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS.
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of professional Python software engineering experience.
 </li>
 <li>
 Hands-on experience building multi-step agent workflows with LangGraph.
 </li>
 <li>
 Strong experience with LangChain.
 </li>
 <li>
 Experience with AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures.
 </li>
 <li>
 Experience implementing LangGraph checkpointing and state management.
 </li>
 <li>
 Knowledge of Human-in-the-Loop (HITL) workflow design.
 </li>
 <li>
 Experience with Agent-to-Agent (A2A) delegation through Agent Gateway.
 </li>
 <li>
 Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar.
 </li>
 <li>
 Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery.
 </li>
 <li>
 Experience building scalable, cloud-native applications on AWS.
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience evaluating AWS AgentCore Runtime maturity and enterprise adoption.
 </li>
 <li>
 Hands-on experience with AWS Bedrock Memory API.
 </li>
 <li>
 Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems.
 </li>
 <li>
 Experience with AI observability, monitoring, and production operations.
 </li>
 <li>
 Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies.
 </li>
 <li>
 Influence architecture decisions and engineering best practices across large-scale platforms.
 </li>
 <li>
 Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions.
 </li>
 <li>
 Opportunity to shape the future of enterprise AI orchestration in production environments.
 </li>
 </ul>
 
 
 
</div>

Senior Python Engineer – Multi-Agent AI (AWS, LangGraph)

ClearGrid

<div>
 
 About ClearGrid
 
 
 
 ClearGrid is on a mission to
 
 revolutionize the debt resolution industry
 
 . We&rsquo;re using
 
 AI, automation, and real-time data
 
 to completely rethink how debt collection works, unlocking better outcomes for institutions and individuals alike. Think of us as rebuilding the collections &mdash;starting from scratch, with modern tools.
 
 
 We're a fast-growing startup with ambitious goals, and we&rsquo;re looking for builders who are hungry to make a real dent in a space with massive untapped potential.
 
 
 
 About The Role
 
 
 
 This is a hands-on, technical role that sits at the intersection of AI, language, and financial services. You will design and own AI agents that handle real customer conversations in Arabic and English, operating under strict compliance requirements set by our lender partners. The role demands equal parts linguistic precision, technical understanding of how LLMs work, and deep familiarity with financial services norms.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Agent Design &amp; Prompt Engineering
 
 
 
 <ul>
 <li>
 Write and own system instructions for AI voice agents end-to-end: persona definition, tone calibration, identity verification scripts, and dialect-specific behaviour for Gulf Arabic audiences.
 </li>
 <li>
 Manage agents across the full customer contact lifecycle, from early-stage reminder agents through to payment arrangement, broken promise, and compliance-focused agents.
 </li>
 <li>
 Encode lender-specific rules directly into system instructions.
 </li>
 <li>
 Inject dynamic customer and account variables provided by the data team to personalise each agent interaction.
 
 
 </li>
 </ul>
 
 Daily Testing &amp; Quality Assurance
 
 
 
 <ul>
 <li>
 Run daily test calls to address a wide range of real-world scenarios.
 </li>
 <li>
 Listen to live and recorded calls to identify bugs, off-script responses, or compliance gaps, and ship hotfixes quickly.
 </li>
 <li>
 Work within a structured QA feedback loop, acting on review comments to improve agent quality before deployment.
 </li>
 <li>
 Coordinate with cross-functional teams to align on call triggers, variable feeds, and product rules.
 
 
 </li>
 </ul>
 
 Voice &amp; Speech Optimisation
 
 
 
 <ul>
 <li>
 Develop new agent voices and evaluate them for naturalness, clarity, and suitability per lender and dialect.
 </li>
 <li>
 Tune STT/ASR (speech-to-text), TTS (text-to-speech), and latency parameters to maintain call quality.
 </li>
 <li>
 Control temperature and model parameters to keep agents within compliant, predictable behaviour, preventing hallucination and manipulation attempts.
 
 
 </li>
 </ul>
 
 Continuous Improvement
 
 
 
 <ul>
 <li>
 Monitor developments in AI tooling, voice technology, and LLM capabilities and assess their relevance to the agent stack.
 </li>
 <li>
 Study real customer call dynamics alongside the operations team and use those insights to improve agent realism and effectiveness.
 </li>
 <li>
 Maintain detailed documentation for each prompt version across all client projects.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Native or near-native Arabic speakers.
 </li>
 <li>
 Demonstrated experience in AI prompt engineering or training AI/LLM models in a professional setting.
 </li>
 <li>
 Working knowledge of voice AI stack: STT/ASR, TTS, latency management, hallucination mitigation.
 </li>
 <li>
 Understanding of how LLMs think - temperature, constraints, failure modes, and manipulation resistance.
 </li>
 <li>
 Experience or background in banking, debt collection, fintech, or financial services.
 </li>
 <li>
 Ability to produce structured, unambiguous written prompts in both English and Arabic.
 </li>
 <li>
 High attention to detail and comfort with repetitive testing and incremental iteration.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Hands-on experience with voice cloning tools and multi-voice agent pipelines.
 </li>
 <li>
 Familiarity with debt collection workflows: bucket segmentation, PTP cycles, RPC scripts, and lender compliance requirements.
 </li>
 <li>
 Prior exposure to Gulf-based financial institutions or BNPL platforms.
 </li>
 <li>
 Experience coordinating with QA teams and managing structured feedback loops.
 </li>
 </ul>
</div>

AI Prompt Engineer

Lua AI (YC F25)

<div>
 
 Location: Cairo, Egypt (remote / hybrid) &middot; Reports to: Head of Operations - MENA
 
 
 &nbsp;
 
 
 
 About Lua
 
 
 
 Lua is the Agent OS. We build digital employees &mdash; agents that do a real job end to end: they read a company&rsquo;s own systems, make the decision, take the action, and get a little better every time they run. Not chatbots that answer questions &mdash; digital workers that do the work, on the company&rsquo;s own data and workflows, and everything they build stays owned by the business. Teams write their logic on Lua (agents, skills, tools, jobs, webhooks, guardrails) and we run the hard parts underneath: infrastructure, multi-provider model orchestration, data, channels (WhatsApp, Slack, Email, Instagram, Messenger, a voice-capable website widget, HTTP API) and monitoring.
 
 
 Our customers are the companies that run their markets &mdash; the operator of one of the world&rsquo;s most-visited heritage sites, a major travel-and-hospitality group, the largest supermarket chain in its country, a listed conglomerate spanning healthcare and consumer goods, large regional banks, social-commerce companies and a microinsurer covering over a million people &mdash; across Africa, the Middle East and South Asia. Together they employ 64,000+ people and turn over $5bn+ a year, and they all want the same thing: to be AI-native on the systems they already run, with nothing to rip out. Backed by Y Combinator, we&rsquo;ve raised $5.8M &mdash; and this is a chance to build the playbook, not inherit one.
 
 
 
 
 
 
 Responsibilities
 
 
 
 We&rsquo;re looking for a junior engineer to join the implementation team and help build and deploy AI agents for our mid-market customers. You&rsquo;ll work alongside a senior implementation engineer, learning the Lua platform and contributing to live customer projects from your first week.
 
 
 This is an apprentice-track role with a clear growth path. You&rsquo;ll start with structured work &mdash; environment setup, testing, knowledge base configuration &mdash; and grow into owning full implementations within 6 months.
 
 <ul>
 <li>
 
 Build agent skills and tools
 
 in TypeScript using the Lua CLI &mdash; the functions that let agents take real actions like API calls, data lookups, and webhook triggers.
 </li>
 <li>
 
 Set up and configure agent environments
 
 : sandbox for development, production for live deployments.
 </li>
 <li>
 
 Configure and manage client knowledge bases
 
 &mdash; the information agents use to answer questions and follow business rules.
 </li>
 <li>
 
 Run QA
 
 and testing cycles before deployment &mdash; test across channels (WhatsApp, web, Slack) and flag issues.
 </li>
 <li>
 Support the senior engineer on active implementations across the full build lifecycle.
 </li>
 <li>
 Write and maintain technical documentation for each implementation.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 1&ndash;2 years writing code
 
 &mdash; professional experience, bootcamp, side projects, or university projects. You need to be comfortable in TypeScript or JavaScript.
 </li>
 <li>
 
 Familiarity with REST APIs, JSON, and basic web architecture.
 
 You know what an endpoint is and how to test with Postman or similar.
 </li>
 <li>
 A fast learner who figures things out by doing, not by waiting for instructions. The platform, CLI, and agent architecture will all be new.
 </li>
 <li>
 Strong written communication &mdash; you&rsquo;ll be in Slack daily, writing updates, flagging blockers, and documenting your work.
 </li>
 <li>
 Reliable. When you say something is done and tested, it needs to actually be done and tested.
 </li>
 <li>
 Fluent in Arabic and English
 </li>
 </ul>
 
 
 
 
 Nice to have
 
 <ul>
 <li>
 Experience with any chatbot or conversational AI platform.
 </li>
 <li>
 Familiarity with WhatsApp Business API, Slack API, or similar messaging platforms.
 </li>
 <li>
 Comfortable with Git, GitHub, and CLI tooling.
 </li>
 <li>
 Previous remote work experience.
 </li>
 </ul>
 
 
 
 
 
 Growth Path
 
 
 <ul>
 <li>
 
 Months 1&ndash;3:
 
 Support builds, learn the platform, follow the runbook, handle structured work.
 </li>
 <li>
 
 Months 3&ndash;6:
 
 Own specific integrations within an implementation. Run client test sessions.
 </li>
 <li>
 
 Months 6&ndash;12:
 
 Own an implementation end-to-end. Client-facing. Responsible for time-to-value on your accounts.
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 Hybrid - Most of our work is remote.
 </li>
 <li>
 Small team, massive ownership. No bureaucracy. Ship and iterate.
 </li>
 <li>
 Direct access to the founding team. Your work is visible and impactful from day one.
 </li>
 <li>
 A platform that&rsquo;s actually in production with real customers &mdash; not a pre-product startup.
 </li>
 </ul>
 
 
 
</div>

Junior Implementation Engineer, MENA

OmniOps

<div>
 
 
 About OmniOps
 
 
 
 
 
 
 OmniOps helps organizations build, operate, and optimize modern cloud-native infrastructure, observability platforms, and AI-powered operations. We work with clients across multiple industries to deliver scalable, reliable, and secure solutions that enable operational excellence.
 
 
 
 
 
 
 Position Overview
 
 
 
 
 
 
 We are seeking an experienced Observability Engineer to design, deploy, and operate observability platforms for our clients. The ideal candidate will have hands-on experience with the Grafana ecosystem, telemetry collection, monitoring, logging, tracing, and alerting across cloud, on-premises, and hybrid environments.
 
 
 This role involves working directly with client teams to ensure their infrastructure and applications are fully observable, while maintaining clear ownership boundaries and providing expert guidance on monitoring best practices.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Deploy, configure, upgrade, and manage Grafana Alloy agents across Kubernetes, Linux, and Windows environments.
 </li>
 <li>
 Design and maintain observability backends using Grafana, Loki, Mimir, Tempo, and Alertmanager, either on-premises or through Grafana Cloud.
 </li>
 <li>
 Configure telemetry pipelines for logs, metrics, and traces, ensuring reliable data collection and delivery.
 </li>
 <li>
 Manage retention policies, storage capacity, and platform health across client environments.
 </li>
 <li>
 Implement platform-level dashboards, alerting rules, notification channels, and monitoring standards.
 </li>
 <li>
 Ensure observability platforms are self-monitoring and capable of detecting ingestion, agent, and backend health issues.
 </li>
 <li>
 Support client teams with application instrumentation and observability best practices.
 </li>
 <li>
 Define telemetry collection standards, SDK recommendations, and integration approaches.
 </li>
 <li>
 Validate data ingestion and ensure logs, metrics, and traces are properly collected and visualized.
 </li>
 <li>
 Assist clients in implementing alerting strategies and translating SLO requirements into actionable monitoring solutions.
 </li>
 <li>
 Provide technical guidance while maintaining clear ownership boundaries between OmniOps and client teams.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 <ul>
 <li>
 Proven experience operating Grafana-based observability platforms in production environments.
 </li>
 <li>
 Hands-on experience with Grafana Alloy, OpenTelemetry Collector, Promtail, Grafana Agent, or similar telemetry collection tools.
 </li>
 <li>
 Strong experience deploying and managing monitoring agents across Kubernetes, Linux, and Windows environments.
 </li>
 <li>
 Solid understanding of Kubernetes, including DaemonSets, RBAC, manifests, and Helm.
 </li>
 <li>
 Experience with Grafana Cloud, including tenant management, stack configuration, and agent connectivity.
 </li>
 <li>
 Strong understanding of observability concepts, including metrics, logs, traces, alerting, retention strategies, and capacity planning.
 </li>
 <li>
 Experience with PromQL, LogQL, and telemetry data modeling best practices.
 </li>
 <li>
 Strong communication and stakeholder management skills with a customer-focused mindset.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 Experience delivering observability services in managed services or multi-tenant environments.
 </li>
 <li>
 Knowledge of Infrastructure as Code and GitOps tools such as Terraform, Helm, and Ansible.
 </li>
 <li>
 Experience implementing OpenTelemetry instrumentation for applications and services.
 </li>
 <li>
 Familiarity with AWS, Azure, and GCP logging integrations.
 </li>
 <li>
 Experience collecting and monitoring Windows telemetry, including Windows Exporter and Event Log collection.
 </li>
 <li>
 Experience building scalable monitoring and observability frameworks for enterprise environments.
 </li>
 </ul>
 
 
 
 
 
 What Success Looks Like
 
 
 
 
 
 <ul>
 <li>
 Reliable deployment and operation of observability platforms across multiple client environments.
 </li>
 <li>
 High availability and health of telemetry pipelines and monitoring infrastructure.
 </li>
 <li>
 Effective dashboards, alerting, and self-monitoring capabilities that improve operational visibility.
 </li>
 <li>
 Successful onboarding of client applications and infrastructure into observability platforms.
 </li>
 <li>
 Strong client satisfaction through technical excellence and proactive support.
 </li>
 </ul>
 
 
</div>

Observability Engineer

<div>
 
 
 Tech Lead Engineer &ndash; AI Registry &amp; Discovery Platform (AWS AgentCore)
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a
 
 Tech Lead Engineer
 
 to design and lead the implementation of an enterprise-grade
 
 AI Registry and Discovery Platform
 
 for AI agents, tools, and MCP services. This role focuses on service registration, metadata governance, semantic discovery, identity mapping, lifecycle management, and integration with the AWS AgentCore ecosystem.
 
 
 As a technical leader, you will drive the architecture and development of a scalable platform that enables secure discovery, governance, and lifecycle management of AI capabilities across the enterprise. You will collaborate with platform, security, and AI engineering teams to establish engineering standards, governance processes, and best practices for enterprise AI platforms.
 
 
 The ideal candidate has strong platform engineering expertise, experience building large-scale registry or catalog systems, and a deep understanding of cloud-native architectures, API security, metadata management, and distributed systems.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Tech Lead Engineer
 
 , you will become part of the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead the architecture, design, and implementation of an enterprise AI Registry and Discovery Platform.
 </li>
 <li>
 Design and maintain metadata schemas for MCP servers, AI tools, and agent capabilities aligned with Canonical Contract standards.
 </li>
 <li>
 Build scalable backend services using Python, FastAPI, DynamoDB, and AWS-native technologies.
 </li>
 <li>
 Develop registration, discovery, approval, certification, and lifecycle management workflows for AI agents and MCP services.
 </li>
 <li>
 Design semantic discovery capabilities using vector search, embeddings, and relevance-ranking techniques.
 </li>
 <li>
 Integrate enterprise identity systems and implement Entra Agent ID mapping across AI ecosystems.
 </li>
 <li>
 Implement secure authentication and authorization using OAuth 2.0, JWT, and enterprise identity providers.
 </li>
 <li>
 Design governance processes for onboarding, approval, certification, versioning, deprecation, and retirement of AI services.
 </li>
 <li>
 Develop APIs supporting registry operations, metadata management, discovery services, and governance workflows.
 </li>
 <li>
 Implement secure credential and secret management using HashiCorp Vault and cloud-native security controls.
 </li>
 <li>
 Design observability, auditing, compliance, and operational monitoring capabilities across the registry platform.
 </li>
 <li>
 Collaborate with AI, platform, cloud, and security teams to establish registry standards, governance policies, and engineering best practices.
 </li>
 <li>
 Mentor engineers, provide technical leadership, and support architectural decision-making across the platform.
 </li>
 <li>
 Produce architecture documentation, implementation standards, and technical governance guidelines.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of backend or platform engineering experience.
 </li>
 <li>
 Experience designing and building enterprise-scale registry, catalog, metadata management, or discovery platforms.
 </li>
 <li>
 Strong Python development experience, including Fast API and backend service development.
 </li>
 <li>
 Experience with AWS services, including AWS Agent Core Registry, Gateway, DynamoDB, and related cloud-native technologies.
 </li>
 <li>
 Experience designing metadata schemas and service registration models.
 </li>
 <li>
 Knowledge of semantic search technologies, vector databases, embeddings, and AI-powered discovery.
 </li>
 <li>
 Experience implementing secure API authentication and authorization using OAuth 2.0 and JWT.
 </li>
 <li>
 Experience integrating governance workflows, approval processes, and lifecycle management into enterprise platforms.
 </li>
 <li>
 Experience integrating enterprise identity providers and identity mapping solutions.
 </li>
 <li>
 Strong understanding of cloud-native architecture, distributed systems, API design, and platform engineering.
 </li>
 <li>
 Excellent leadership, communication, mentoring, and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Hands-on experience with AWS AgentCore Registry and Gateway.
 </li>
 <li>
 Experience with vector databases such as pgvector, OpenSearch, or similar semantic search technologies.
 </li>
 <li>
 Experience with HashiCorp Vault or enterprise secrets management platforms.
 </li>
 <li>
 Familiarity with MCP (Model Context Protocol) standards and Canonical Contract schema design.
 </li>
 <li>
 Experience implementing observability and distributed tracing solutions.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud security best practices.
 </li>
 </ul>
 
 Why Join Us
 
 <ul>
 <li>
 Lead the development of an enterprise AI Registry and Discovery Platform supporting next-generation AI applications.
 </li>
 <li>
 Work with cutting-edge AWS AgentCore technologies, semantic search, and cloud-native architectures.
 </li>
 <li>
 Drive engineering standards, governance, and technical strategy for enterprise AI platforms.
 </li>
 <li>
 Collaborate with experienced AI, platform, and cloud engineering teams on innovative global-scale solutions.
 </li>
 <li>
 Make a significant impact by shaping the future of AI service discovery, governance, and lifecycle management across a large enterprise.
 </li>
 </ul>
 
 
 
</div>

Python Team Lead – AI Registry & Discovery Platform (AWS AgentCore)

Talkpush

<div>
 
 WE ARE HIRING.
 
 
 
 Talkpush is hiring sales professionals, product managers, marketers, and developers to join its team. Most positions are based in our offices all over the globe: San Francisco, India, Philippines, Costa Rica, Mexico, and Hong Kong. Intelligent and ideological candidates interested in changing the world of recruitment are welcome to apply. Just have a chat with us on our website or on our Facebook page.
 
 
 Read more about the Talkpush culture here.
 
 
 ⚠️
 
 DON'T APPLY FOR A JOB AT TALKPUSH IF THIS IS YOU
 
 
 
 Recruitment is one of the oldest, most established industries, and we're out to change it completely through automation. To make that dream come true, we need people with a fire in their belly who would rather deliver unpleasant truths to customers rather than slap together a quick fix. This isn't a 9-to-5 job that delivers the same experience every day, but a place where once in a while, you wake up with a burning desire to implement a new solution and to test the heck out of it.
 
 
 This means that people who think sucking up to the boss or being a yes-person is the path to success, who aren't willing to stand behind their idea, even in the face of pushback, who prefer change to be predictable and gradual, won't be very happy here. They might be smart, kind, and lovely, but this isn't their pot's lid. If you're the kind of person who gets a little obsessed about a problem and can't think of anything else until you can puzzle it out, we can offer interesting challenges, an international team that will challenge you, and a mission to help millions of people get hired by focusing relentlessly on building better candidate experiences. Does this sound a little scary and overly ambitious? Good, that's just how we like it. ✨
 
 
 
 Solutions Engineer &mdash; Egypt (Remote)
 
 
 
 
 Location:
 
 Fully Remote
 
 
 
 Salary:
 
 Based on experience
 
 
 
 Product Focus:
 
 AI-First Recruitment Technology
 
 
 Egypt is one of our largest markets by user volume, and we don't yet have anyone on the ground. This role is about changing that: getting deep into customer configurations, fixing what's broken, and building real relationships with the recruitment managers and team leaders who use our platform every day.
 
 
 This isn't a commercial role. You won't carry a revenue number. You'll be the person who makes the product work brilliantly for the customer &mdash; and over time, builds a local Talkpush community in Egypt through monthly in-person meetups.
 
 
 
 What You'll Do
 
 
 
 
 Configuration &amp; Problem-Solving
 
 
 
 <ul>
 <li>
 Own a queue of customer tickets and configuration requirements each week
 </li>
 <li>
 Configure Autoflows, integrations, and bot interactions to match customer needs
 </li>
 <li>
 Audit existing setups and optimise for performance, response quality, and adoption
 </li>
 <li>
 Troubleshoot issues end-to-end and resolve them with minimal escalation
 
 
 </li>
 </ul>
 
 Customer Engagement
 
 
 
 <ul>
 <li>
 Run weekly technical check-ins with recruitment managers and team leaders
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 <li>
 Translate customer pain into specific platform changes and configuration tweaks
 </li>
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 Set clear expectations on what's possible and how long it takes
 
 
 </li>
 </ul>
 
 Community Building (Egypt)
 
 
 
 <ul>
 <li>
 Organise a monthly in-person event for Talkpush users and prospects in Cairo or Alexandria
 </li>
 <li>
 Build word-of-mouth in the local recruitment community
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 <li>
 Surface market intelligence back to the global team
 
 
 </li>
 </ul>
 
 Supervising AI Agents
 
 
 
 <ul>
 <li>
 Review and optimise AI interview agent configurations
 </li>
 <li>
 Spot performance issues before customers do
 </li>
 <li>
 Feed insights back into product
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Background in technical support (Level 2/3), configuration-heavy roles, business analysis, industrial engineering, or as a developer who's moved into customer-facing work
 </li>
 <li>
 Proven ability to work with enterprise customers over the long haul without burning out &mdash; this work is detailed, repetitive at times, and requires patience
 </li>
 <li>
 Native or fluent Arabic; strong professional English
 
 
 </li>
 </ul>
 
 Attitude (this matters more than credentials)
 
 
 
 <ul>
 <li>
 Resilience. You've handled difficult enterprise customers for years and kept your composure. Chaos and ambiguity don't faze you.
 </li>
 <li>
 Doer mindset. You'd rather fix something than write a memo about fixing it.
 </li>
 <li>
 Solitary focus. You're comfortable doing deep configuration work alone for hours.
 </li>
 <li>
 Pragmatic. You solve the problem in front of you rather than chasing the perfect solution.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Ability to vibe-code (light scripting, prompt engineering, or agent configuration)
 </li>
 <li>
 Experience with workflow automation tools
 </li>
 <li>
 Prior exposure to recruitment, HR tech, or BPO industries
 
 
 </li>
 </ul>
 
 Why Join
 
 
 
 <ul>
 <li>
 Build something from scratch in a major market where we have demand but no presence
 </li>
 <li>
 Work directly with the EMEA Director, not through layers of management
 </li>
 <li>
 Influence product direction through what you learn from customers
 </li>
 <li>
 A globally distributed team that values doers over talkers
 </li>
 </ul>
</div>

Solutions Engineer — Egypt (Remote)

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