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AI Engineer(GenAI)- 7+ Years- Immediate joiner- Bangalore

AI Engineer(GenAI)- 7+ Years- Immediate joiner- Bangalore

ThoughtFocus

7 - 12 years

30 - 40 Lacs

bengaluru

Posted:16 hours ago| Platform:

Apply

Skills Required

artificial intelligence llm python langchain langgraph

Work Mode

Work from Office

Job Type

Full Time

Job Description

Note: Role would require 5 days WFO

Shift timing- 1:00 PM to 10:00 PM

Key Responsibilities

Work on
vector databases (Pinecone, Weaviate, FAISS)
for efficient retrieval-augmented generation (RAG).
Implement AI-based automation solutions for enterprise applications, including agentic multi-agent architectures with tool integration (API calls, Text-to-SQL).
Design, train, and fine-tune Generative AI models, including LLMs diffusion models, and transformer-based architectures.
Implement prompt engineering and fine-tuning strategies for domain-specific AI applications.
Develop multimodal AI models solutions.
Stay up to date with cutting-edge research in NLP, computer vision (OCR), and Generative AI.

Skills

5+ years of experience in application development with 2+ years of experience with generative AI solutions projects.
Hands-on experience with
Generative AI models
, including LLMs (GPT-4, BERT, T5), GANs, and VAEs.
Strong experience with
data manipulation libraries (Pandas, NumPy, Dask)
.
Understanding of
SQL, NoSQL, vector databases (FAISS, Pinecone, Weaviate)
, and Graph Databases (Neo4J, Azure Cosmos).
Understanding of different RAG indexing strategies such as Inverted File (IVF) and HNSW.
Familiarity with
Reinforcement Learning (RLHF) and transfer learning techniques
.
Experience with ML libraries like
Huggingface

Transformers, OpenAI API, LangChain
, LangGraph, Scikit Learn, NLTK.
Understanding of
Azure cloud, DevOps, and Azure AI Foundry.
Familiarity with multimodal AI
(text-to-image, text-to-video, speech-to-text models).

Mandatory Skill Set:

,

Good to have:

RAG Models

LLM, NLP, computer vision (OCR),

Vector databases (FAISS, Pinecone, Weaviate)

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