oorikoorik.in
AI Engineer
- Work mode
- Remote
- Type
- Full time
- Experience
- 2 to 4 years
- Salary
- ₹12L to ₹14L a year
Posted 19 Oct 2026. Open for applications until 3 Dec 2026.
Skills
Must have
- python
- ai
- api development
- backend
- PyTorch
- vector databases
- embeddings
- LLMs
- FastAPI
- SQL/NoSQL databases
- RAG
Nice to have
- leadership
- teachability
- tool-calling workflows
- LlamaIndex
- LangChain
- Docker
- TensorFlow
- autonomous AI agents
About the role
Role Overview
We are looking for an AI Engineer with 2–4 years of experience to design, develop, and deploy production-ready AI/ML solutions, including LLM-powered applications, intelligent agents, and scalable AI systems.
Responsibilities
- Design, develop, and deploy AI/ML models and LLM-based applications.
- Build RAG pipelines, AI agents, and multi-step reasoning workflows.
- Work with LLM APIs, prompt engineering, embeddings, and vector databases.
- Develop scalable backend services and REST APIs using Python and FastAPI.
- Optimize model performance, latency, reliability, and inference costs.
- Integrate AI solutions with databases, cloud infrastructure, and third-party services.
- Implement evaluation frameworks, monitoring, guardrails, and automated testing.
- Collaborate with product and engineering teams to deliver production-grade AI features.
Requirements
- 2–4 years of hands-on experience in AI/ML engineering or applied AI development.
- Strong proficiency in Python and experience with FastAPI or similar frameworks.
- Practical experience with LLMs, RAG, embeddings, and vector databases.
- Familiarity with frameworks such as LangChain, LlamaIndex, or equivalent tools.
- Experience with PyTorch, TensorFlow, or other ML frameworks.
- Knowledge of SQL/NoSQL databases, Docker, Git, and cloud platforms.
- Understanding of model evaluation, retrieval optimization, and AI system design.
- Strong problem-solving skills and ability to build and maintain production systems.
Preferred Qualifications
- Experience building autonomous AI agents and tool-calling workflows.
- Familiarity with AWS, GCP, or Azure AI services.
- Experience with fine-tuning, quantization, and model serving.
- Knowledge of CI/CD, observability, and distributed systems.
Employment Details
- Experience: 2–4 years
- Role: AI Engineer
- Employment Type: Full-time
How hiring works here
oorik moves applicants through 3 rounds. You can follow your stage from your oorik applications page.
- Applied
- Initial screening
- Technical interview
- Final interviewContact shared here
- Hired