• Work directly with business and technical stakeholders to identify high-value AI use cases and translate business problems into executable technical solutions. • Design and build enterprise-grade Claude enabled applications, agentic workflows, workflow copilots, knowledge assistants, and decision-support systems. • Help enterprise clients rationalize Claude licensing types, evaluate usage models, and design an overall licensing strategy aligned to adoption, governance, cost management, and business value. • Lead discovery sessions that map business processes, identify automation opportunities, assess human-in-the-loop requirements, and define measurable business outcomes. • Develop AI solution architectures that integrate Claude with enterprise systems, data platforms, APIs, vector databases, orchestration layers, and approval workflows. • Design and implement retrieval-augmented generation systems, tool-using agents, evaluation harnesses, prompt and context strategies, memory patterns, and guardrail frameworks. • Build prototypes quickly, then harden successful solutions into production-ready systems with proper observability, reliability, security, access control, and governance. • Partner with client executives, product owners, technical teams, legal, compliance, and security stakeholders to align AI solutions with enterprise risk requirements. • Develop reusable solution patterns, accelerators, technical demos, reference architectures, and thought leadership that strengthen Aimpoint Digital’s Anthropic practice. • Help clients define their AI operating model, including governance, model evaluation, adoption workflows, business ownership, and ongoing performance measurement. • Serve as a trusted advisor and hands-on builder for organizations adopting Claude across mission-critical workflows.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton) — IN Type: Contract Compensation: $35–$45/hour Location: Remote Commitment: 40 hours/week - Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics. - Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems. - Evaluate MLOps tasks and solutions and provide clear, written technical feedback. - Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization. - Hands-on production experience with JAX and/or PyTorch at scale. - Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton. - Demonstrable career progression. - Ability to engage reliably for at least 30 hours/week during weekdays. - Strong written communication skills and the ability to explain complex technical decisions clearly. Requirements - W-2 employment with Cincinnatus LLC. - Paid weekly. Application Process - Upload resume - AI interview based on your resume - Submit form For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• Design, build and optimize agentic AI systems for the CUDA ecosystem • Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available • Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity • Collaborate across the AI stack—from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model/agent teams

About this opportunity: 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