Quantitative Cryptocurrency Trading Firm and Liquidity Provider
Principal AI Engineer
Location
Thailand
Posted
5 days ago
Salary
0
Seniority
Lead
Job Description
Principal AI Engineer
Gravity Team
• AI platform strategy — what tools, models, platforms, and patterns we use, when, and why. • Build vs. buy vs. adopt decisions, backed by real experience and opinions you can defend. • Evaluate, select, and deploy workflow / orchestration platforms, model providers, vector stores, MCP servers, agent frameworks, observability tooling. • Hands-on build and operations — deployment, scaling, upgrades, integrations with Slack, Atlassian, Databricks, AWS, internal databases. • Security and governance (with our vCISO) — secrets management, sandboxing, access controls, data classification, prompt-injection defense, audit logging, human-in-the-loop rules for high-stakes workflows. • The knowledge / RAG layer — ingestion pipelines, embedding strategy, retrieval quality, freshness. • Enablement — reusable templates, primitives, documentation, and debugging support so the AI adoption lead and business users can build workflows on the platform without needing you in the loop. • Model access, routing, and cost — API keys, rate limits, per-workflow / team / user cost tracking, model selection per use case, fallback strategies. • Platform health — uptime, cost, usage, incidents, security posture. Own the on-call.
Job Requirements
- 7+ years in infrastructure / platform engineering / DevOps in production environments.
- Hands-on experience building and operating at least one LLM platform in production — workflow orchestration, model routing, RAG, agent frameworks.
- Strong AWS and Docker — VPC, IAM, networking, secrets management, containerized deployments.
- Security mindset by default — secrets handling, least privilege, audit logging, prompt-injection awareness.
- Python and TypeScript fluency — you read source to debug, write integrations, and don't just configure tools.
- MCP servers, agentic workflows, sanitization, and modern agent orchestration frameworks in production.
- AI gateway operation — Databricks Unity AI Gateway, Portkey, LiteLLM, AWS Bedrock Guardrails, or equivalent — including rate limiting, audit logging, and policy enforcement.
- Proven track record of enabling non-engineers to ship on platforms you built.
Benefits
- Competitive salary
- Flexible working hours
- Casual work attire and startup atmosphere
- Learning & Development budget 3000 EUR a year
- Benefits that you can combine yourself – free food, bolt taxi, Sports, Spa & Wellness etc.
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