18 Sep
|
Devnagri
|
India
What You Will Do :
Own and evolve the products agentic architecture and conversational interfaces (across web and mobile).
Establish rigorous practices for observability, prompt engineering, and continuous improvement.
Build AI-powered applications and automate business workflows.
Partner with Data Scientists to make advanced domain-specific intelligence accessible and reliable.
Document AI solutions and collaborate effectively within cross-functional teams.
Roles responsibilities areas
Requirements :
Experience in applied AI/ML engineering, data systems, or backend software engineering for AI products.
Solid proficiency in Python with proven experience building APIs, data pipelines, and production microservices.
Hands-on exposure to LLM application patterns : RAG, embeddings, tool/function calling, structured outputs,
and agent frameworks (e.g., LangGraph).
Valuable knowledge of nodeJS and other front end technologies.
KRAs along with the percentage of each one
Production Monitoring Issue Resolution - 20%
VoiceBOT AI Development - 10%
Learning Technical Growth - 20%
VoiceBOT/chatBOT Dashboard and data logging - 10%
Production Support Debugging - 20%
PoC Development - 20%
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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