Lead AI-first platform work at the intersection of agentic systems and production infrastructure, designing and shipping systems for high-volume product features.
Be the Technical Lead Engineer who shapes the engineering behind brilliant coffee experiences, leading technical direction while staying close to the code.
Responsibilities
Lead the technical design and delivery of platform and microservices solutions from discovery through to production
Stay hands on with TypeScript and Node.js, developing critical platform capabilities and stepping into complex code or production issues
Own and shape the technical roadmap alongside senior engineering colleagues
Design and evolve AWS based, event driven solutions using services such as Lambda, API Gateway, SNS, SQS, EventBridge, DynamoDB, RDS, S3 and CloudWatch
Lead technical discovery and produce clear design documentation, including RFCs and Architecture Decision Records
Build and deploy enterprise GenAI and agentic AI solutions on AWS, turning business challenges into production‑ready products.
Compensation
Expected Annual Base Salary Range for role: €63,800 to €118,400
Responsibilities
Own the end‑to‑end delivery of AWS‑based AI and agentic AI solutions, translating business priorities into clear technical solutions and measurable outcomes.
Work directly with Product Managers, Product Owners and business stakeholders to understand workflows, rapidly prototype solutions and take viable concepts into production.
Design, build and deploy enterprise GenAI and agentic AI solutions using AWS cloud services, including technologies such as Amazon Bedrock, Amazon SageMaker, OpenSearch, Lambda, API Gateway, S3 and DynamoDB.
Design agent intelligence using prompts, reasoning, retrieval, tool calls, integrations and appropriate guardrails to deliver accurate and responsible outcomes.
Build secure integrations across AI capabilities, enterprise data and business platforms, including AWS services, MuleSoft, Veeva and other approved enterprise technologies as relevant.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology or a related discipline, or equivalent professional experience.
Senior AI Engineer responsible for designing and delivering production-ready generative and agentic AI solutions on AWS for biomedical research.
Compensation
Salary Range:
Kč1,010,940.00 - Kč1,877,460.00
Expected Annual Base Salary Range for role: 1,010,940.00 - 1,877,460.00 CZK Annual.
Responsibilities
Design and implement production-ready generative and agentic AI solutions on AWS
Build secure RAG solutions with hybrid search, embeddings, reranking, metadata and enterprise knowledge sources
Develop intelligent agents using Amazon Bedrock AgentCore and agentic frameworks such as Strands, LangGraph, LangChain, CrewAI or a custom orchestration layer
Implement multi-agent workflows, human-in-the-loop review, memory management, tool use and end-to-end traceability
Design tool use and function calling so agents can connect securely to APIs, databases and enterprise systems
As a Forward Deployed Engineer – AWS Stack, you will work at the intersection of AI, engineering, product and business, turning high-value challenges into secure, scalable and production-ready solutions on AWS.
Compensation
Expected Annual Base Salary Range for role: €63,800 to €118,400
Responsibilities
Own the end-to-end delivery of AWS-based AI and agentic AI solutions, translating business priorities into clear technical solutions and measurable outcomes.
Work directly with Product Managers, Product Owners and business stakeholders to understand workflows, rapidly prototype solutions and take viable concepts into production.
Design, build and deploy enterprise GenAI and agentic AI solutions using AWS cloud services, including technologies such as Amazon Bedrock, Amazon SageMaker, OpenSearch, Lambda, API Gateway, S3 and DynamoDB.
Design agent intelligence using prompts, reasoning, retrieval, tool calls, integrations and appropriate guardrails to deliver accurate and responsible outcomes.
Build secure integrations across AI capabilities, enterprise data and business platforms, including AWS services, MuleSoft, Veeva and other approved enterprise technologies as relevant.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology or a related discipline, or equivalent professional experience
Senior Test Engineer with approximately 10 years of overall software testing experience, including 2–4 years of hands-on experience in non-functional testing and test automation, to ensure cloud-native applications are fast, reliable, and scalable.
Accelerate your career as a Cloud Administrator while supporting mission-focused customer operations. This role blends cloud administration, DevOps support, observability, and reliability engineering.
Compensation
The likely salary range for this position is $142,792 - $190,523.
Responsibilities
Optimize, implement, and maintain cloud-based systems
Deploy and debug infrastructure
Build monitoring and logging solutions
Drive cloud initiatives across distributed systems
Manage containerized workloads using Kubernetes and Helm
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related technical discipline
Technical Lead EngineerNewCosta Coffee · Sofia, Bulgaria
Software Engineer IINewJPMorgan Chase & Co. · Bengaluru, India