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ClosedPosted 265 days ago

Data Engineer with Gen AI - R31157

ScaleneWorks INC

Where
Bangalore

This posting closed on 2026-10-23.

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  6. 57.8%60 days
This job: posted 265 days ago

The posting

AI Engineer (GenAI Developer)

Company Overview

[Company Overview not specified]

## Job Summary We are seeking an experienced AI Engineer (GenAI Developer) with a passion for innovation and a strong desire to learn and experiment. As a key member of our team, you will design, develop, and maintain cutting-edge GenAI applications aimed at solving API integration challenges. Your expertise in Python and exposure to Java/C++ will be critical in building cloud-native, microservice-based agentic solutions. Experience in ML engineering or MLOps is a strong plus.

## Responsibilities - Design and implement GenAI applications (agentic and non-agentic) to address API integration and automation challenges. - Build and orchestrate agentic workflows using frameworks like LangChain, LangGraph, CrewAI, Semantic Kernel, and OpenAI’s Swarm. - Develop and expose microservices using FastAPI, Quarkus, or Spring Boot for scalable, cloud-native deployment. - Integrate and optimize Retrieval-Augmented Generation (RAG) pipelines for document intelligence and semantic search using vector databases (e.g., FAISS, ChromaDB, Pinecone, Astra DB). - Collaborate with cross-functional teams (DevOps, QA, Product, Data Science) to deliver production-grade GenAI solutions. - Research emerging GenAI technologies and drive innovation. - Mentor junior developers and contribute to knowledge sharing. - Implement MLOps practices for model deployment and lifecycle management. - Troubleshoot and optimize system performance. - Contribute to CI/CD pipelines and cloud-native architecture for reliable delivery.

## Qualifications - Hands-on experience with GenAI frameworks (e.g., LangChain, LangGraph, CrewAI, Hugging Face, OpenAI APIs). - Strong proficiency in Python; working knowledge of Java, Kotlin, Spring Boot, or C++ is a plus. - Experience with vector databases and semantic search. - Familiarity with cloud-native deployment (e.g., Azure, Docker, Kubernetes). - Knowledge of microservices architecture, RESTful APIs, and CI/CD pipelines. - Exposure to MLOps and automation tools. - Educational qualifications: [specific degrees not specified, likely relevant to software engineering or computer science].

## Preferred Skills - Familiarity with Agile methodologies and practices.

## Experience - No specific years of experience mentioned, but relevant experience is expected in AI engineering, GenAI frameworks, and MLOps.

## Environment - Work setting, location (remote, in-office, hybrid), and any physical or environmental conditions are not specified.

## Salary - Salary is not specified.

## Growth Opportunities - Career advancement opportunities within the company are not detailed.

## Benefits - Benefits offered are not specified.

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