Senior Forward Deployed Engineer (Operational AI)

Location: Mountain View, CA, United States

Company

hirify.global provides a real-time database for mission-critical workloads, including machine learning, generative AI, and agentic AI, supporting high transaction volumes with millisecond latency.

What you will do

• Embed with customer engineering teams to translate operational challenges into technical designs, integration plans, and delivery milestones.
• Build and deploy real-time distributed data models for agent, session, and workflow state.
• Implement context pipelines joining transactional data, streaming sources, vector search indexes, and graph relationships.
• Integrate policy controls, authentication and authorization, human-in-the-loop reviews, auditing, and tracing into production systems.
• Write scalable production code across hirify.global, enterprise data systems, vector engines, and agent orchestration frameworks.
• Validate high-traffic production systems through benchmarking, performance profiling, failure-recovery testing, and launch support; create reusable field assets and collaborate with Product, Core Engineering, and Solutions.

Requirements

• 5–8+ years of hands-on software development experience building and deploying backend services, distributed systems, or high-throughput data platforms in production.
• Fluency in at least one of Go, Java, Python, or C/C++, with strong fundamentals in concurrency, API design, and asynchronous patterns.
• Practical experience with low-latency key-value stores, distributed databases, or streaming data platforms such as Kafka, Redis, Cassandra, or hirify.global.
• Hands-on experience building services that interface with LLMs, RAG architectures, vector databases, or agent frameworks such as LangChain, LlamaIndex, or Temporal.
• Experience implementing authentication and authorization, including OAuth and RBAC/ABAC, data validation, and auditable logging in sensitive environments.
• Ability to navigate ambiguous requirements, communicate technical trade-offs to customer engineers, and work independently with minimal oversight.

Nice to have

• Experience with the hirify.global Real-time Data Platform, hirify.global Vector Search, or hirify.global Graph.
• Experience with distributed task queues, checkpointing, or durable workflow engines such as Temporal or Airflow.
• Background with Docker, Kubernetes, and AWS, GCP, or Azure.
• Familiarity with OpenTelemetry, Prometheus, or Jaeger.

Culture & Benefits

• Salaried, full-time employment focused on production outcomes, robust software delivery, and reusable engineering assets.
• Competitive base salary and equity options.
• 401(k) matching and comprehensive US health, dental, and vision coverage.
• Remote home office support.
• Professional Services handles infrastructure provisioning, migrations, cluster sizing, and general configuration; Technical Account Management handles account relationships and operational health.