обновлено 15 часов назад
Senior Software Engineer GenAI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer GenAI (Python/AWS/LLMs): Designing and scaling backend platforms, distributed systems, AI-driven workflows, and GenAI applications with an accent on resilient architectures, modern APIs, and cloud-native development. Focus on integrating LLMs through AWS Bedrock, optimizing databases and caching, and providing technical leadership through architecture, mentoring, and hands-on engineering.
Company
AI-led cloud professional and managed services provider supporting AWS and Salesforce migrations, implementations, and ongoing cloud operations.
What you will do
- Design and develop scalable Python backend services, distributed systems, microservices, and AI-driven workflows.
- Integrate Large Language Models through AWS Bedrock and other AWS services.
- Design event-driven architectures and REST, GraphQL, or gRPC APIs.
- Optimize databases, search capabilities, query performance, and distributed caching.
- Contribute to cloud infrastructure, CI/CD pipelines, infrastructure as code, monitoring, and observability.
- Collaborate with Product, Data Science, and Engineering teams while leading architecture discussions, mentoring, and hands-on development.
Requirements
- 5+ years of backend software engineering experience.
- Strong Python development skills with FastAPI and/or Django.
- Experience designing scalable distributed systems and microservice architectures.
- Experience building AI-powered applications or integrating LLMs; AWS Bedrock experience is preferred.
- Experience with SQL and NoSQL databases, ORM frameworks, query optimization, event-driven architectures, messaging technologies, and Redis.
- Experience with Docker, CI/CD pipelines, infrastructure as code, cloud-native development, and observability tools such as OpenTelemetry, Prometheus, Grafana, or Datadog.
Nice to have
- Experience with Retrieval-Augmented Generation, vector search, OpenSearch, or graph databases such as Neo4j or Neptune.
- Frontend experience with React or Angular.
- Experience in enterprise or highly regulated environments.
Culture & Benefits
- Work alongside experienced technical leaders in an innovation-focused environment.
- Opportunities for continuous learning and professional growth.
- Competitive salary and bonus incentives.
- Comprehensive benefits and flexible working hours.
- Opportunity to build AI solutions on AWS.
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