or apply directly on Everpure's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Everpure's roles stay open a median of 78 days
- Reposted
- No
- Salary listed
- No 0% of Everpure's roles list one
- Ghost-job risk at Everpure
- high 320 stale, 17 reposted of 325 open
- Hiring momentum
- 509 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Everpure's own greenhouse board since 2026-08-03. Full hiring picture for Everpure.
About this role
As an Agentic AI Software Engineer at Everpure, you will design and develop production-grade AI solutions that enhance enterprise automation and digital transformation. Your responsibilities will include implementing prompt engineering techniques, building secure backend services and REST APIs, and deploying AI services on AWS, while ensuring security and observability of the systems you create.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Everpure as an employer.
What you need
- 3–6 years of professional software engineering experience building backend or distributed systems
- Strong proficiency in Python and developing RESTful APIs
- Hands-on experience building LLM-based or Agentic AI applications, including RAG, embeddings, and vector database integrations
- Practical experience in Prompt Engineering and understanding of LLM behavior, limitations, and optimization techniques
- Experience deploying and operating applications in AWS cloud environments
- Experience implementing AI guardrails, model validation techniques, and production monitoring
Nice to have
- Experience with multi-agent orchestration frameworks or AI tool integration patterns
- Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar
- Experience with CI/CD pipelines and containerized deployments using Docker and Kubernetes
- Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems
- Familiarity with observability tools such as Datadog, Prometheus, or similar platforms
What you get
- Flexible time off
- Wellness resources
- Company-sponsored team events
- Incentive pay and/or equity
Worth weighing
- In-office work environment expected in Santa Clara, CA
- Salary range provided but may vary based on role, level, and location
- No application deadline, accepting applications until the position is filled
Summarised from Everpure's posting. Read the full original.
Listed by Everpure on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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