13 часов назад
Software Engineer (Agentic AI)
149 000 - 224 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Agentic AI) (Python/LLM/AWS): Building production-grade agentic AI solutions, LLM-based services, RAG pipelines, and secure backend APIs for enterprise automation with an accent on reliability, security, and observability. Focus on implementing multi-agent orchestration, guardrails, model evaluation frameworks, and scalable AWS deployments.
Location: Onsite at the Santa Clara, California office
Annual base salary: $149,000–$224,000 USD; the role may also be eligible for incentive pay and/or equity.
Company
is reshaping the data storage industry through enterprise technology, automation, and digital transformation solutions.
What you will do
- Design and develop production-grade agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines.
- Develop prompt engineering strategies, tool-calling flows, and agent orchestration for reliable AI behavior.
- Build secure Python backend services and REST APIs integrating AI agents with enterprise platforms.
- Implement guardrails, output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns.
- Create model evaluation frameworks covering prompt testing, retrieval validation, regression testing, and performance benchmarking.
- Deploy, monitor, and operate secure, scalable AI services on AWS using Docker and Kubernetes.
Requirements
- 3–6 years of professional software engineering experience building backend or distributed systems.
- Strong Python and RESTful API development skills.
- Hands-on experience with LLM-based or agentic AI applications, including RAG, embeddings, and vector databases.
- Experience with prompt engineering, LLM behavior, AI guardrails, model validation, and production monitoring.
- Experience deploying and operating applications in AWS cloud environments.
- Ability to work from the Santa Clara, California office under the primarily in-office policy.
Nice to have
- Experience with multi-agent orchestration frameworks and AI tool integration patterns.
- Familiarity with Pinecone, Weaviate, OpenSearch, or similar vector databases.
- Experience with CI/CD, Docker, Kubernetes, and observability tools such as Datadog or Prometheus.
- Exposure to enterprise platforms such as ServiceNow or Snowflake.
Culture & Benefits
- Innovation-focused environment that encourages critical thinking and challenging technical work.
- Growth support and opportunities to contribute to meaningful technology.
- Collaborative team culture centered on shared success and inclusive leadership.
- Flexible time off, wellness resources, and company-sponsored team events.
- Accessibility accommodations are available throughout the hiring process.
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