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
- 12 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: [Confidential Information]
