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Agentic AI Developer

Agentic AI Developer

Tezo

6 - 10 years

10 - 14 Lacs

Hyderabad Bengaluru

Posted:12 hours ago| Platform:

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Skills Required

deep learning Usage orchestration Pathway Machine learning Test scenarios UAT Natural language processing microsoft Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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We are seeking a

skilled Agentic AI Developer

to design and implement intelligent agent systems powered by

Large Language Models (LLMs)

. This role involves developing LLM-based pipelines that can

ingest transcripts, documents, or business narratives and generate structured artifacts

such as workflows, decision trees, action plans, or contextual recommendations.

You will collaborate with cross-functional teams to deploy autonomous AI agents capable of

reasoning, planning, memory, and tool usage

in enterprise environments primarily within the Microsoft ecosystem (Azure, Power Platform, Copilot, and M365 integrations).

Key Responsibilities

Build and deploy
autonomous agent systems
using frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel.
Develop pipelines to
process natural language input
and generate structured outputs tailored to business needs.
Implement agentic features such as
task orchestration, memory storage, tool integration
, and feedback loops.
Fine-tune LLMs or apply prompt engineering to optimize accuracy, explainability, and responsiveness.
Integrate agents with Microsoft 365 services (Teams, Outlook, SharePoint) and Power Platform components (Dataverse, Power Automate).
Collaborate with business and product teams to define use cases, test scenarios, and performance benchmarks.
Participate in scenario-based UAT testing, risk evaluation, and continuous optimization.

Must-Have Skills

Proficiency in
Python
and hands-on experience with ML/AI libraries and frameworks (Transformers, PyTorch, LangChain).
Strong understanding of
LLMs
(e.g., GPT, Claude, LLaMA, Mistral) and
prompt engineering
principles.
Experience developing agent workflows using
ReAct, AutoGen, CrewAI, or OpenAI function calling
.
Familiarity with
Vector Databases
(FAISS, Pinecone, Qdrant) and
RAG-based architectures
.
Skills in
Natural Language Processing (NLP)
: summarization, entity recognition, intent classification.
Integration experience with
APIs, SDKs
, and enterprise tools (preferably Microsoft stack).

Preferred Certifications

(Candidates with the following certifications will have a strong advantage)

Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft Certified: Power Platform App Maker (PL-100)
Microsoft 365 Certified: Developer Associate (MS-600)
OpenAI Developer Certifications or Prompt Engineering Badge
Google Cloud Certified: Professional Machine Learning Engineer
NVIDIA Deep Learning Institute Certifications
Databricks Generative AI Pathway (optional)

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