Generative AI / Agentic AI Engineer (LLM + RAG + Knowledge Graphs)

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Generative AI / Agentic AI Engineer (LLM + RAG + Knowledge Graphs)

Abacus Digital Pvt.Ltd

Kolkata

3-8 years

1 day ago

$22.9K–36.1K/yr

Full-time

Onsite

Skills Required

LLM

RAG

LangChain

Agentic AI

Gen AI

Embeddings

Vector Database

Prompt Engineering

Fine-tuning

LLM evaluation

Python

backend engineering

API

data pipeline

unstructured data

Description

Build and deploy production-ready GenAI and Agentic AI systems using LLMs, RAG, and AI workflows. Develop scalable Python backends, APIs, and data pipelines for AI applications.

Location: In person

Experience

• 3–8 years of experience in backend engineering, AI, or data-driven systems

Key Skills

• Python
• backend engineering
• LLMs
• RAG systems
• APIs
• data pipelines
• unstructured data

Qualification

• Bachelor’s degree in Computer Science, Engineering, or a related field

Responsibilities

• Build and deploy production-ready GenAI and Agentic AI systems using LLMs, RAG, and AI workflows
• Develop scalable Python backends, APIs, and data pipelines for AI applications
• Design RAG and hybrid search systems across vector databases, knowledge graphs, and unstructured data
• Build agentic workflows using frameworks such as LangGraph, AutoGen, or CrewAI
• Evaluate and optimize AI systems through prompt engineering, RAG evaluation, and model optimization
• Translate business requirements into scalable, reliable, and production-ready AI solutions

Additional Responsibilities

• Work across LLMs to RAG to Graphs to Agents
• Opportunity to shape architecture and offerings from the ground up

Nice To Have

• Knowledge Graphs (Neo4j, Cypher, RDF/SPARQL)
• Agent frameworks (LangGraph, AutoGen, CrewAI)
• Hybrid search (Graph + Vector)
• LLM evaluation / optimization (RAGAS, prompt tuning, fine-tuning)

Prepare for this role

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