Artificial Intelligence Engineer

At Flowmentum, we’re helping fast-moving teams build the infrastructure and intelligence behind AI, fintech, and cloud innovation. Now, we’re looking for engineers who want to bring their SRE/DevOps problem-solving DNA into the world of agentic AI, LLMs, and telemetry analytics. This is not just an ML research role — it’s about building real systems that keep bad builds from shipping. Think telemetry-driven anomaly detection, automated bug alerting in dogfooding, and scalable pipelines that surface issues before they hit production. What you’ll work on • Fine-tuning and deploying LLMs on AWS (Bedrock, SageMaker, ECS). • Building RAG pipelines and scalable ingestion flows (Postgres, NiFi, Elasticsearch). • Designing anomaly detection and telemetry-based alerting systems (deterministic, mechanistic, probabilistic). • Applying graph analytics for security + reliability insights. • Partnering with product teams to turn raw data into actionable reliability signals. What you bring • 5–7+ years in SRE, DevOps, or Cloud Engineering, with hands-on ML/AI experience. • Deep skills in Linux, AWS, Kubernetes, Terraform, plus strong scripting (Python/Go). • Curiosity + persistence to dig into complex telemetry problems until solved. • Experience with anomaly detection, monitoring, or reliability pipelines. Why join us 🌍 Remote-first, results-driven team. 💡 Mission-driven work at the intersection of SRE + AI. 📈 Real impact: building systems that catch bugs earlier, ship safer builds, and scale globally. 👉 If you’re a senior SRE or platform engineer who’s ready to step into AI/ML and shape the future of agentic reliability systems, we’d love to talk.