We are hiring a GenAI Developer Intern (Postgraduate) to contribute to the development of production-grade Generative AI applications on AWS : LLM services, RAG pipelines, multi-agent systems, and AI-driven RAN optimization solutions. You will participate in lifecycle management for prompts, embeddings, models, agent tools, and knowledge bases, implement safety guardrails and observability, and support AI governance while collaborating across backend, DevOps, and product teams. If you are passionate about building scalable, secure GenAI platforms on AWS cloud and want to apply your skills in a telecom R&D environment, this role is for you.
What you will do:
- Contribute to design and delivery of production-grade GenAI applications (LLM services, RAG pipelines, multi-agent systems) on AWS
- Develop agentic AI workflows using LangChain, LangGraph, CrewAI, AutoGen, or OpenAI Agents SDK ; including tool-calling, planning, reflection, and human-in-the-loop patterns
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines: document ingestion, chunking strategies, embedding models, vector databases, hybrid search, and re-ranking
- Implement Model Context Protocol (MCP) integrations for standardized tool/resource exposure to LLMs
- Implement Agent-to-Agent (A2A) communication protocols for multi-agent orchestration
- Support lifecycle management (LCM) for GenAI components: prompts, policies, agent tools, knowledge bases, embeddings, and model versions; assist with versioning, rollbacks, and documentation
- Implement guardrails, safety layers, and output validation for secure, controlled LLM usage
- Build observability for GenAI workloads: structured logging, tracing, telemetry for prompt/response quality, retrieval metrics, and cost/latency dashboards
- Develop and deploy GenAI microservices on AWS (Bedrock, SageMaker, Lambda, ECS/Fargate, S3, OpenSearch Serverless)
- Write Infrastructure-as-Code (Terraform) for GenAI stack components on AWS
- Apply GenAI and LLM capabilities to RAN/telecom use cases: network optimization, fault prediction, configuration management, and knowledge extraction from 3GPP specifications
- Write clean, tested, production-quality Python code following software engineering best practices
- Participate in Agile ceremonies (sprint planning, daily standups, retrospectives) and code reviews
- Collaborate with cross-functional teams (backend, frontend, DevOps, data engineering, product) to deliver end-to-end AI features
The skills you bring:
Education
- Recent postgraduate (Master's or PhD) in Computer Science, Computer Engineering, AI/ML, or related engineering discipline, with a strong foundation in algorithms, data structures, software engineering, and mathematics (linear algebra, probability, statistics).
Generative AI & LLM Skills (Required)
- Hands-on experience building applications with Large Language Models, including use of orchestration frameworks such as
- LangChain, LangGraph, LlamaIndex, Semantic Kernel, AWS Strands, or AWS AgentCore.
- Strong understanding of RAG architectures, including chunking strategies (recursive, semantic, agentic), embedding models (OpenAI, Cohere, open-source), vector stores (Pinecone, Weaviate, Qdrant, ChromaDB, OpenSearch), and retrieval approaches (hybrid search, re-ranking, contextual compression).
- Experience with prompt and context engineering (system prompts, few-shot, chain-of-thought, ReAct), structured outputs (JSON mode, function calling, tool usage), guardrails, hooks, and skills.
- Familiarity with agentic AI design patterns, LLM evaluation methods (automated metrics, LLM-as-judge, human evaluation, benchmark design, MAS frameworks), and emerging protocols such as MCP (tool/resource integration) and A2A (multi-agent communication).
Software Engineering & Development Skills (Required)
- Strong Python proficiency (3.10+) including type hints, async/await, dataclasses, Pydantic v2, virtual environments, and package management (pip, poetry, uv).
- Experience building REST APIs (FastAPI/Flask), applying clean code principles, software design and architectural patterns (microservices, event-driven, API gateway), and version control (Git).
- Experience writing automated tests, working with CI/CD tools (GitHub Actions, GitLab CI, Jenkins), and understanding containerization (Docker) with basic orchestration concepts.
AWS Cloud & SaaS Skills (Required)
- Hands-on experience with AWS services such as EC2, S3, Lambda, ECS/Fargate, IAM, CloudWatch, API Gateway, and Step Functions, alongside AWS AI/ML tools (Bedrock, SageMaker, AWS Strands, AgentCore).
- Understanding of serverless and event-driven architectures, Infrastructure-as-Code (Terraform or AWS CDK), and cloud security best practices (IAM, least privilege, secrets management, VPC networking).
- Awareness of SaaS models, multi-tenancy patterns, and API-first design.
RAN & Telecom Domain (Preferred)
- Basic understanding of mobile network architecture (RAN, Core, Transport) and 4G/5G concepts, with willingness to quickly learn telecom domain.
- Interest in applying AI/ML to network optimization, fault management, and automation, with knowledge of O-RAN and RIC concepts considered a strong plus.
Additional Preferred Qualifications
- Experience with LLM fine-tuning (LoRA, QLoRA, RLHF, DPO), multimodal AI (vision/audio) and multimodal RAG, as well as GraphRAG and graph databases.
- Familiarity with observability tools (LangSmith, Langfuse, OpenTelemetry, Weights & Biases), data engineering, Agile/Scrum practices, and AI-assisted development workflows.
- Contributions such as research publications, open-source work, or technical blogging in AI/ML/GenAI.
- Knowledge of AI security practices including prompt injection mitigation, PII handling, and data governance.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Egypt (EG) || Cairo
Req ID: 784943
Skills Required
- Recent postgraduate degree in Computer Science, AI/ML, or related field
- Hands-on experience in building applications with Large Language Models
- Strong Python proficiency (3.10+)
- Experience with AWS services like EC2, S3, Lambda
- Exposure to Generative AI and LLM architectures
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Retirement Support — The U.S. 401(k) includes an automatic 3% company contribution plus matching (100% of the first 3% and 50% of the next 2%) with immediate vesting. An employee stock purchase plan and legacy pensions in some groups strengthen long‑term savings.
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Leave & Time Off Breadth — Generous PTO, paid holidays, sick time, bereavement leave, and a dedicated volunteer day are offered. Time‑off allotments can increase with tenure and are complemented by hybrid work where roles allow.
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Healthcare Strength — Medical, dental, vision, and mental‑health support are part of a comprehensive health and wellbeing offering. Wellness initiatives such as onsite gyms, fitness classes, and EAP access are available in certain locations.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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