AI/ML Engineer (LLM & MLOps)
Build and scale production LLM systems, retrieval-augmented generation pipelines, and responsible AI guardrails for public sector clients.
Careers
We are hiring talented engineers, architects, and designers for delivery teams (hybrid / remote).
Build and scale production LLM systems, retrieval-augmented generation pipelines, and responsible AI guardrails for public sector clients.
Design and deliver secure, scalable IoT architectures for critical infrastructure clients.
Build modern, accessible web applications for public sector clients using Next.js, TypeScript, and Node.js.
Build secure cloud infrastructure and CI/CD pipelines for regulated workloads.
Build reliable AI features and decision-support systems: evaluation, data pipelines, and production-grade model integration for high-stakes domains.
Build a production LLM platform: RAG services, agentic workflows, evaluation, and safety guardrails with strong reliability and cost control.
Build secure edge software for connected devices: embedded services, telemetry, OTA updates, and reliable device-to-cloud delivery at scale.
Build robotics software stacks: perception, navigation, and fleet integration with strong safety, observability, and production reliability.
Own robotics system integration end-to-end: architecture, safety constraints, reliability engineering, and production deployment across hardware, software, and cloud.
Build production-ready robotics manufacturing pipelines: test strategies, factory tooling, quality gates, traceability, and scalable release processes.
Build production-ready drone autonomy: perception, state estimation, and navigation on real hardware with strong testing, safety and observability practices.
Own the flight stack: vehicle integration, controller tuning, safety/failsafes, and automated testing to deliver reliable UAV behavior in production.
Design and implement production-grade smart contracts with strong security posture, comprehensive testing, and clear upgrade/governance patterns.
Build secure user-facing Web3 applications: wallet flows, account abstraction patterns, indexing, and reliable backend integrations.
Operate blockchain infrastructure at production standards: reliable RPC, node operations, indexing pipelines, observability, and cost-effective scaling.
Build governance and protocol tooling: secure voting flows, permission models, on-chain execution, and analytics for transparent, auditable operations.
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