Gen AI Manager (Hyderabad)

Gen AI Manager (Hyderabad)

11 Nov
|
Tredence
|
Hyderabad

11 Nov

Tredence

Hyderabad

Role description

GenAI / RAG / LLM / Agentic

Key Responsibilities:

Architect and deploy RAG pipelines for enterprise knowledge retrieval (vector DBs: Pinecone, FAISS, Weaviate; embeddings).

Design autonomous agentic systems using frameworks like LangGraph, CrewAI, or AutoGen (multi-agent orchestration, tool use, memory).

Fine-tune LLMs (OpenAI, Llama, Mistral) for domain-specific tasks; implement prompt engineering and evaluation (RAGAS, DeepEval).

Deploy GenAI solutions on cloud platforms with latency/cost optimization (AWS Bedrock, Azure OpenAI, GCP Vertex AI).

Lead a team of GenAI developers and prompt engineers.

Must-Have Skills (Track 2):

8–12 years in AI/ML development, with at least 2+ years focusing on Generative AI and agents.

Strong experience in RAG, LLM orchestration, and agentic workflows.

Proficient in Python, LangChain/LangGraph, vector databases, and LLM APIs.

Cloud deployment expertise: AWS Bedrock/SageMaker, Azure AI Foundry, or GCP Vertex AI with MLOps/LLMOps practices.

Bachelor’s degree in CS/AI; Master’s or PhD preferred.

Skills

GenAI / RAG / LLM / Agentic

Key Responsibilities:





Architect and deploy RAG pipelines for enterprise knowledge retrieval (vector DBs: Pinecone, FAISS, Weaviate; embeddings).

Design autonomous agentic systems using frameworks like LangGraph, CrewAI, or AutoGen (multi-agent orchestration, tool use, memory).

Fine-tune LLMs (OpenAI, Llama, Mistral) for domain-specific tasks; implement prompt engineering and evaluation (RAGAS, DeepEval).

Deploy GenAI solutions on cloud platforms with latency/cost optimization (AWS Bedrock, Azure OpenAI, GCP Vertex AI).

Lead a team of GenAI developers and prompt engineers.

Must-Have Skills (Track 2):

8–12 years in AI/ML development, with at least 2+ years focusing on Generative AI and agents.

Robust experience in RAG, LLM orchestration, and agentic workflows.

Proficient in Python, LangChain/LangGraph, vector databases, and LLM APIs.

Cloud deployment expertise: AWS Bedrock/SageMaker, Azure AI Foundry, or GCP Vertex AI with MLOps/LLMOps practices.

Bachelor’s degree in CS/AI; Master’s or PhD preferred.

📌 Gen AI Manager (Hyderabad)
🏢 Tredence
📍 Hyderabad

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