Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI): Building intelligent customer experience solutions that integrate Salesforce CRM, AWS services, and generative AI capabilities with an accent on LLM orchestration, prompt workflows, RAG pipelines, and resilient backend integrations. Focus on designing scalable AI architectures, leading production delivery, improving observability and reliability, and mentoring engineers across complex enterprise systems.
Location: Warsaw, Poland; remote role for candidates located in Poland.
Salary: PLN 300,000–440,000 annually, plus equity where applicable, bonus, healthcare coverage, paid time off, and parental leave.
Company
Okta provides identity and access management infrastructure through its Workforce and Customer Identity Clouds, helping organizations securely use technology across devices and applications.
What you will do
- Design and build intelligent customer experience solutions integrating Salesforce CRM, AWS services, and generative AI.
- Develop AI-powered applications using Amazon Bedrock, LangChain, LLM orchestration, prompt workflows, and RAG pipelines.
- Architect resilient APIs, event-driven integrations, and backend services connecting Salesforce, AWS, internal systems, and external applications.
- Lead technical delivery from discovery through production, ensuring scalability, reliability, security, maintainability, and operational support.
- Drive CI/CD, observability, testing, deployment automation, and production excellence using tools including GitHub and Gearset.
- Mentor junior and mid-level engineers and partner with product, design, architecture, security, data, and infrastructure functions.
Requirements
- 8+ years of professional software engineering experience, including 3+ years with customer-facing platforms, enterprise integrations, or CRM-driven systems.
- Strong backend and application development experience with Python or Java and JavaScript or TypeScript.
- Hands-on experience designing cloud-native solutions on AWS, including Lambda, S3, RDS, API Gateway, and CloudWatch.
- Production experience integrating LLMs and generative AI, including prompt orchestration, retrieval pipelines, or RAG workflows.
- Strong knowledge of distributed systems, API development, testing, maintainable architecture, CI/CD, and automated deployments.
- Ability to lead architecture discussions, influence technical strategy, mentor engineers, and communicate complex ideas clearly.
Nice to have
- Salesforce architecture and development experience with Apex, Lightning, Flow, APIs, and enterprise CRM data models.
- Advanced prompt engineering, evaluation, and optimization experience for customer-facing AI applications.
- Experience with vector databases, embeddings, LangGraph, LangSmith, agentic workflows, Docker, Kubernetes, or advanced AWS services.
- Background in enterprise security, compliance, data governance, or large-scale cross-functional platform initiatives.
Culture & Benefits
- Work at the intersection of enterprise customer platforms and emerging AI technologies.
- Influence technical direction for AI-enabled capabilities across Salesforce, AWS, and integration platforms.
- Collaborate in a global community spanning more than 20 offices worldwide.
- Complete an immersive, in-person onboarding experience.
- Receive comprehensive healthcare and financial benefits, including paid time off and parental leave.
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