Artificial Intelligence Engineer

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