Artificial Intelligence Engineer

Quess IT Solutions

Chennai

Híbrido

INR 1.500.000 - 2.300.000

Jornada completa

Hace 7 días

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Descripción de la vacante

Quess IT Solutions in Chennai is seeking a seasoned frontend and GenAI-focused engineer to build scalable AI-powered applications using React/Next.js, Python FastAPI, and modern architectures.

You will design RAG, embeddings, vector search, and Agentic AI workflows with LangChain, LangGraph, and LlamaIndex, while ensuring security, REST/WebSocket APIs, and cloud deployment practices.

Formación

Frontend: React / Next.js / TypeScript / JavaScript.
Backend: Python / FastAPI / REST APIs / Microservices.
GenAI: LLMs / RAG / Embeddings / Vector Search / Prompt Engineering.
Agentic AI: LangGraph / LangChain / LlamaIndex or equivalent.
AI/ML: Machine Learning / Deep Learning / NLP / Computer Vision.
Document AI: OCR / Document Processing / Information Extraction.
Databases: PostgreSQL / Redis / Vector Databases.
Architecture: System Design / Microservices / Application Architecture.
Security: SSO / OAuth / JWT / RBAC.
Integration: APIs / WebSockets / SSE / Third-party integrations.
DevOps: Git / Docker / CI/CD / Cloud
AI Tools: AI-assisted development tools and LLM-based developer workflows

Responsabilidades

Develop modern frontend applications using React/Next.js and secure frontend practices.
Design and integrate Generative AI/LLM solutions including RAG, embeddings and vector search.
Develop Agentic AI solutions using LangGraph, LangChain, LlamaIndex or equivalents.
Design AI-powered document processing and OCR solutions with information extraction.
Apply knowledge of ML/DL/NLP/Computer Vision to real-world AI apps.
Design scalable architectures covering apps, APIs, databases, AI services and caching.
Implement security and authentication practices like SSO, OAuth/OIDC, JWT, RBAC.
Work with PostgreSQL, Redis and Vector Databases and other data stores.
Develop and integrate REST APIs, internal APIs, streaming APIs, WebSockets and third-party services.
Collaborate with Git, CI/CD, Docker and cloud deployment for production-ready apps.

Conocimientos

Frontend

Backend

GenAI

Agentic AI

AI/ML

Document AI

Databases

Architecture

Security

Integration

DevOps

AI Tools

Herramientas

LangGraph

LangChain

LlamaIndex

PostgreSQL

Redis

Vector Databases

Descripción del empleo

Key Responsibilities

Develop modern frontend applicationsusing frameworks such as React/Next.js and follow scalable and secure frontend development practices.
Design and integrate Generative AI/LLM solutions, including RAG, embeddings, vector search, prompt engineering, and multi-LLM applications.
Develop Agentic AI solutionsusing frameworks such as LangGraph, LangChain, LlamaIndex, or similar technologies.
Design AI-powered document processing and OCR solutions, including document extraction and intelligent information processing.
Apply practical knowledge of Machine Learning, Deep Learning, NLP, and Computer Visionto real-world AI applications.
Design scalable system architecturescovering application components, APIs, databases, AI services, caching, load balancing, and integrations.
Implement enterprise security and authenticationpractices such as SSO, OAuth/OIDC, JWT, and role-based access control.
Work with databases and data technologies such as PostgreSQL, Redis, Vector Databases, and other relevant data stores.
Develop and integrate REST APIs, internal APIs, streaming APIs, WebSockets, and third-party/enterprise services.
Work with Git, CI/CD, Docker, cloud platforms, and deployment practicesto deliver production-ready applications.