3 Semantickernel Jobs

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0.0 years

0 Lacs

pune, maharashtra, india

On-site

Responsibilities Architect and implement enterprise-grade LLM/agent systems in Python using frameworks such as Autogen, SemanticKernel, and LangGraph. Design durable agentic workflows and orchestration using Temporal (workflows, activities, signals, retries, long-running transactions). Build complex business software integrations (transactional flows, auditability, RBAC, idempotency) that agents operate within and act upon. Deploy and manage LLMs on Azure AI / Azure OpenAI: inference, scaling, cost/latency SLAs, caching, model routing. Design Retrieval-Augmented Generation (RAG) pipelines, embedding stores and vector DB integrations (Elasticsearch). Implement safe tool/function-calling patte...

Posted 3 weeks ago

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0.0 years

0 Lacs

bengaluru, karnataka, india

On-site

Extensive experience in designing and implementing scalable, maintainable and reliable software solutions Working knowledge of AI/ML and Gen AI applications and how they can enhance software engineering processes to improve productivity Experience building RAGs using LlamaIndex, LangChain, or similar frameworks. Experience building Agentic AI systems using AutoGen, SemanticKernel, Pydantic, or similar frameworks is preferred Proficiency in one or more programming languages (e.g., Python, TypeScript or C#) and experience developing microservices architecture on cloud platforms (AWS Azure) A keen interest in researching new AI tooling and you are a daily user of AI coding assistants such as Cu...

Posted 1 month ago

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0.0 years

0 Lacs

pune, maharashtra, india

On-site

Responsibilities Architect and implement enterprise-grade LLM/agent systems in Python using frameworks such as Autogen, SemanticKernel, and LangGraph. Design durable agentic workflows and orchestration using Temporal (workflows, activities, signals, retries, long-running transactions). Build complex business software integrations (transactional flows, auditability, RBAC, idempotency) that agents operate within and act upon. Deploy and manage LLMs on Azure AI / Azure OpenAI: inference, scaling, cost/latency SLAs, caching, model routing. Design Retrieval-Augmented Generation (RAG) pipelines, embedding stores and vector DB integrations (Elasticsearch). Implement safe tool/function-calling patte...

Posted 1 month ago

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