AI Engineer (LLM Applications)

Redenn Informatics Inc.; Patiala District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Redenn Informatics Inc. is seeking an AI software engineer to own LLM systems in production, including a sales chatbot, a retrieval layer, and agent workflows within CRM contexts.

The role emphasizes building end-to-end RAG pipelines, shipping features on Claude/OpenAI APIs, and maintaining cost and performance in a Next.js/Postgres stack.

Qualifications

• 2 to 5 years writing production software, including at least one LLM feature.
• Strong Python or TypeScript with async, queues and API design.
• Hands-on with an LLM API: prompting, tool calling, streaming and outputs.
• Experience with embeddings and vector search for retrieval quality.
• Solid SQL and understanding of the data you retrieve.

Responsibilities

• Design and maintain RAG pipelines end to end: chunking, embeddings, retrieval, grounding and citations.
• Ship chatbot and agent features on Claude and OpenAI APIs with tool use and streaming.
• Build evals and regression checks to prevent breaks from prompt changes.
• Monitor cost, latency and token usage in production and optimize.
• Integrate AI features into the existing Next.js and Postgres stack with the web team.

Skills

Python

TypeScript

LLM features

Async programming

API design

Embeddings

Vector search

SQL

Job description

You will own the LLM systems Redenn already runs in production: the sales chatbot that talks to visitors on client sites across six countries, the retrieval layer that keeps it grounded in each client's real services and pricing, and the agent workflows inside the Pro Lifeset CRM. New work lands every month, from document extraction for a clinic to an AI assistant sitting inside an ecommerce build.

Responsibilities

• Design and maintain RAG pipelines end to end: chunking, embeddings, retrieval, grounding and citations.
• Ship chatbot and agent features on the Claude and OpenAI APIs, including tool use, streaming and structured output.
• Build evals and regression checks so a prompt change never quietly breaks a live bot.
• Watch cost, latency and token usage in production and bring them down.
• Integrate AI features into the existing Next.js and Postgres stack alongside the web team.

Requirements

• 2 to 5 years writing production software, including at least one LLM feature you took all the way to real users.
• Strong Python or TypeScript, with real comfort around async work, queues and API design.
• Hands-on with an LLM API: prompting, tool calling, streaming, structured outputs and their failure modes.
• Working knowledge of embeddings and vector search, and why retrieval quality decides chatbot quality.
• Solid SQL and a real understanding of the data you are retrieving from.