MLOps Engineer

In this position, you will engage in building and maintaining AI systems, focusing on various aspects of machine learning and application development. Specific responsibilities include:

• Developing applications using Python and TypeScript.
• Integrating large language model (LLM) APIs.
• Coding for function and tool calling within AI frameworks.
• Working with agent architectures and LangGraph/LangChain.
• Implementing retrieval-augmented generation (RAG) and managing memory/context.
• Creating structured outputs and defining multi-step workflows.
• Designing human-in-the-loop systems and evaluating AI agents.
• Establishing AI guardrails for safe and effective operations.

This role is open to both freshers and those with prior experience in AI or machine learning. Candidates should be familiar with the technical skills mentioned in the job details, specifically in languages like Python and TypeScript. The position can be performed remotely, making it accessible to individuals across India.

To enhance your application for this role, consider the following tips:

• It helps to showcase practical projects that demonstrate your skills in Python and TypeScript.
• Familiarity with large language models and their APIs will be beneficial.
• Highlight any experience you have with AI frameworks like LangGraph or LangChain.
• Understanding memory and context management in AI systems can give you an advantage.
• Be prepared to discuss any projects involving human-in-the-loop systems or multi-step workflows.