Agentic Research Engineer

Grow Your Staff is looking for an Agentic Research Engineer for a UK-based global AI infrastructure company building voice-native autonomous systems. The position is a part-time remote position. The role will have excellent growth opportunities. You will work directly with the founding team to design, train, and deploy cutting-edge agentic systems for real-world, high-scale applications.Experience required: 4-8 yearsTime: 1:30 PM - 10:00 PM IST (Monday- Friday) Commitment: 5 hours/dayCTC: 30 LPA- 50 LPALocation: RemoteType of Employment: Part-timeResponsibilities Develop and fine-tune ASR models for multilingual, code-switched, and dialect-variable speech environmentsBuild NLU pipelines for intent extraction, entity recognition, and contextual understanding in voice-based systemsTrain and optimize TTS systems for natural, low-latency voice interactions across languages and accentsImplement real-time voice handling capabilities, including VAD, barge-in detection, and silence detectionArchitect and build multi-agent systems for voice-driven workflows across commerce, finance, and enterprise use casesDesign memory systems and context management for dynamic and long-horizon agent interactionsDevelop tool-integrated agents capable of interacting with external APIs securely and audiblyImplement compensation and rollback logic to handle failures in agent workflowsDesign deterministic execution pipelines (plan - execute - verify - commit), ensuring reliability and auditabilityBuild logging, audit trails, and state persistence systems across agent interactionsDevelop low-latency voice-first systems with real-time STT/TTS integration and multilingual routingIntegrate systems with global payment rails and external service APIsDesign and deploy end-to-end systems from model training pipelines to production-grade infrastructureBuild backend services for orchestration and execution using scalable architectures.Deploy and manage systems using containerization and cloud infrastructureEvaluate agent performance in real-world scenarios, including reasoning, tool usage, and safetyBuild evaluation pipelines and optimize systems for performance, reliability, and robustness.Publish research, write technical documentation, and present findings to both technical and non-technical stakeholdersRequirements Python, C++, TypeScriptML Frameworks: PyTorch, TensorFlow, JAX, etcVoice AI & Speech Models: Whisper, Wav2Vec, FastSpeech, VITSAgentic Frameworks: LangChain, LangGraph, AutoGen, CrewAIAPI Development  FastAPI, RESTBackend: NestJS, GoDatabases & Caching: PostgreSQL / RedisCloud & Infrastructure: AWS, GCP, DigitalOceanDevOps: Docker, KubernetesReal-Time Communication: Twilio, WebRTC, SIPVector Databases (Pinecone, etc)Memory Systems (Weaviate, etc)Payment Integrations: Stripe, M-Pesa, FlutterWave, etcQualificationsMaster’s degree in Computer Science, AI, Machine Learning, or a related field (PhD preferred)Proven experience in model training or fine-tuning for voice AI systems, including ASR, NLU, or TTSStrong expertise in agentic AI systems, including multi-agent workflows, orchestration frameworks, and tool-based executionHands-on experience in building scalable backend systems and deploying production-grade AI infrastructureFamiliarity with real-time voice systems, telephony integrations, and low-latency architecturesExperience designing deterministic workflows, memory systems, and execution pipelines for autonomous agentsStrong understanding of system design, scalability, and reliability in distributed environmentsExperience evaluating AI systems for accuracy, safety, hallucination, and robustness.Proven ability to write technical documentation, research papers, or present complex concepts clearlyPrior publications, open-source contributions, or research work in AI/ML or voice systems are a strong plus

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