kAIgentic
kAIgentic Staff Engineer – MLOps
kAIgentic turns tacit work knowledge into governed AI agents, allowing enterprises to scale their internal expertise.
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5 minutes to evaluate. 6 months of representation.
You'll be a good fit if you have
- Mastery of AI-native development and automation as a default working mode.
- Expert-level proficiency in Python and Go.
- Deep technical expertise in at least four of the following domains:
- Cloud Architecture: Multi-region, compliance-heavy enterprise setups.
- Kubernetes: Platform engineering at massive scale.
- Observability: Unified metrics, agentic workflow tracing, and LLM monitoring.
- LLM Ops: Model serving, routing, and cost optimization for AI workloads.
- Compliance Automation: Infrastructure security, secrets management, and zero-trust networking.
- Exceptional architectural judgment with the ability to make high-stakes technical trade-offs that align with long-term business goals.
- Strong communication skills capable of translating complex infrastructure concepts for both technical teams and business stakeholders.
- A natural leader with a passion for mentoring and elevating senior and lead engineers.
Key Responsibilities
- Define the long-term global roadmap for multi-region, multi-tenant cloud infrastructure that meets "Fortress" level standards for reliability, compliance, and enterprise isolation.
- Architect and own a unified CI/CD and GitOps strategy across application code, infrastructure-as-code, ML models, and RAG pipelines, with a strong focus on Kubernetes architecture including GPU federation and cost optimization.
- Develop and execute an LLM operations strategy that includes multi-provider routing, failover mechanisms, and latency SLOs, while managing the model lifecycle and optimizing specialized AI workloads.
- Establish a zero-trust security framework and foster a high-performance reliability culture by implementing SLO frameworks, chaos engineering practices, and automated compliance measures for 24/7 stability in regulated markets.
- Provide technical leadership across all engineering squads, mentoring senior leads and championing emerging AI-native technologies, while representing kAIgentic’s technical capabilities to enterprise customers.
This is not a cold application
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Your chances, at a glance
Signals that matter for fast turnarounds and strong placements.
Why kAIgentic
Institutional expertise is often trapped in the minds of individual employees, making it difficult for enterprises to scale their collective intelligence.
kAIgentic captures this tacit knowledge into governed AI agents, ensuring that businesses can evolve and automate at the same speed as technological breakthroughs.
Problems that matter. Company that matters. Infrastructure that matters.
Accelerate economic growth by connecting every talent to the work they are meant to do
Hiring got broken. Too focused on companies. Not enough on people. We're fixing it.
Human judgment plus AI. Talent first.
Built By
We built Grapevine. More than 1 million engineers use it to share real talk about companies, salaries, culture. We saw the problem up close.
Great engineers lost in broken systems.
So we built Round1. Backed by Peak XV and Kae Capital. One mission: connect exceptional engineers to work that matters.