AI/LLM Application Engineer
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Role details
Tech stack
+10 more
Job description
Planning, Design, Develop, testing, execution and communication of software releases
Collaborate with development peers & Business to understand book of work and assist with development Efforts
Create effective unit testing coverage for developed code
Ensure software releases are compliant from an enterprise and regulatory perspective and Quality of product is maintained without compromise, * Planning, Design, Develop, testing, execution and communication of software releases
- Collaborate with development peers & Business to understand book of work and assist with development Efforts
- Create effective unit testing coverage for developed code
- Ensure software releases are compliant from an enterprise and regulatory perspective and Quality of product is maintained without compromise
Requirements
Python (LLM/agent development)
React + TypeScript (mandatory) + Nextjs
Streaming UI (WebSockets / SSE)
API-driven UI & component development
LLM frameworks: LangChain / LangGraph / Google Agent SDK/ AutoGen (TypeScript SDKs)
Experience
3+ years engineering
Built chatbot/copilot OR agent workflows
Experience building reusable UI components/SDKs
Hands-on RAG and tool-based agents
Desired Qualifications
Preferred Skills
RAG + prompt engineering + tool calling
Clickhouse, MongoDB, Redis, Openshift, K8s
skills:
Agent SDK,API-driven,AutoGen,chatbot,component development,Streaming,LLM frameworks,LangGraph,LLM,copilot,Nextjs,Python,ReactJS,React,RAG,TypeScript,unit testing,WebSockets,communication,testing,workflows
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