Job Title : Artificial Intelligence (AI) Engineer
Location : Gurugram, India (Onsite Only)
Company : Rx One Care Pvt. Ltd.
Type : Full-Time | Immediate Joining Preferred
Role Overview
deployments, and scalable backend services. You will play a key role in building, fine-tuning, and deploying AI-powered solutions (voice, NLP, automation) that power RxOne’s next-gen patient engagement and clinical workflow intelligence platform.
Key Responsibilities
- Build, fine-tune, and optimize open-source LLMs , ASR / TTS models, and other ML components.
- Develop and maintain containerized ML pipelines using Docker & Kubernetes.
- Deploy inference services in cloud-native environments (AWS / GCP / Azure).
- Collaborate with product & engineering teams to integrate models into production systems (APIs / microservices).
- Monitor model performance, latency, accuracy, and cost-efficiency.
- Implement CI / CD workflows for ML model updates and secure deployments.
- Write clean, scalable, well-documented code.
Required Skills & Experience
1–2 years of experience in AI / ML engineering , MLOps, or backend engineering.Strong understanding of open-source models (HuggingFace, Whisper, Ollama, GPT-J, Llama, etc.).Hands-on experience with Docker, Docker Compose, Kubernetes .Experience deploying models with TensorRT, ONNX Runtime, or vLLM (plus point).Good knowledge of Python, FastAPI / Flask, and cloud services.Familiarity with GPU environments (NVIDIA, CUDA, inference optimization).Understanding of vector databases (Pinecone, Weaviate, Chroma) is a bonus.Nice-to-Have
Experience building voice AI pipelines (ASR, TTS, NLU).Exposure to observability tools (Prometheus, Grafana, Sentry).Knowledge of DevOps and CI / CD (GitHub Actions, GitLab CI).Email : careers@rxone.app