India Knowledge engineer semantic web technologies Jobs – 111 Open Jobs Today

AI Engineer
Deutsche Telekom Digital Labs —Gurugram, Haryana
- Azure
- System design
- Java
3d
Staff Software Engineer
Fanatics E-Commerce (India) LLP —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Software Engineer, Senior
Infor —Hyderabad, Telangana
- Full-time
- Azure
- Master's degree
- Databases
2d
Staff Software Engineer
Fanatics —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
Product Owner - Methods & Tools
Airbus India Private Limited —Bengaluru, Karnataka
- Email
- Project management
- Scripting
- Software development
Knowledge Graph Architect - Bangalore/ Chennai/Madurai (10+ Years)
Informica Solutions —Bengaluru, Karnataka
- Full-time
- AI
- Analytics
Quick apply
Senior Full Stack Engineer
Tarento Technologies Pvt. Ltd. —Bengaluru, Karnataka
- Master's degree
- Databases
- JavaScript
Senior Power Platform Application Developer
Advanced Energy Industries, Inc. —Pune, Maharashtra
- Weekend availability
- Azure
- Computer Science
- Master's degree
SEO Manager (AI Search & Organic Growth)
Briskon —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
- Computer Science
- Marketing
12d
IoT Architect
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- Databases
Senior Conversation Bot Engineer
Quantiphi —Mumbai, Maharashtra
- Full-time
- Salesforce
- Machine learning
- JavaScript
Specialist - Software Engineering
LTM —Hyderabad, Telangana
- Computer Science
- DevOps
- English
Quick apply
3d
Lead Engineer - Data & AI
Quest Global —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Senior React Developer
Techblocks —Hyderabad, Telangana
- AWS
- APIs
- Financial services
Quick apply
Consultant, Managed Services-AEP & AJO-Hyderabad,Chennai,Bengaluru,Pune
Deloitte —Bengaluru, Karnataka
- Azure
- Research
- Windows
AI Agentic Developer
SWARAN SOFT SUPPORT SOLUTIONS PRIVATE LIMITED —Gurugram, Haryana
- Research
- Windows
- Master's degree
Quick apply
Principal Engineer - Agentic AI
Autodesk —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Computer Science
15h
Senior Manager, Engineering
Insight Software —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- B.Sc
Digitization & Analytics Manager - Digitization & Analytics Manager - Strategic Sourcing
Mahindra & Mahindra Ltd —Mumbai, Maharashtra
- Azure
- Computer Science
- Master's degree
Senior Software Engineer I - Full Stack/ Backend - AI Interfaces
Seismic —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree

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AI Engineer

Deutsche Telekom Digital Labs -
Gurugram, Haryana

Apply Now

Job details

3 days ago

Qualifications

CI/CD
Elasticsearch
Azure
Go
Node.js
Law
MCP
Multilingual
Enterprise Software
System design
NoSQL
Java
Master's degree
SQL
AWS
Docker
Distributed systems
Continuous integration
SDKs
RabbitMQ
Back-end development
REST
APIs
Construction experience
Kafka
GraphQL
AI
Python

Full job description

Job Code: DTDLPL-81045

Gurugram, Haryana, India

Expires on 29/07/2026

Required Experience

2 - 4 Years

Skills

Langchain,

Langraph,

Python

Job Description

Responsibilities

Build and maintain scalable backend services using modern technologies such as Python, Node.js, Java, or Go.
Design and implement APIs that expose AI/LLM-powered capabilities to web, mobile, and enterprise applications.
Integrate production-grade LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.) into backend systems and workflows.
Build and manage Retrieval-Augmented Generation (RAG) pipelines including ingestion, chunking, embedding, indexing, retrieval, reranking, and grounding.
Design and maintain enterprise knowledge bases optimized for LLM and agent consumption.
Build agentic workflows and multi-step reasoning systems using frameworks such as LangGraph, CrewAI, AutoGen, or equivalent.
Design AI-enabled automation flows using tools such as n8n, Temporal, Airflow, or similar orchestration platforms.
Build internal AI-powered developer productivity tools including code assistants, automated documentation generators, test generation systems, release-note generators, and incident-analysis agents.
Handle LLM operational concerns including prompt management, context engineering, latency optimization, retries, fallback strategies, caching, observability, and cost optimization.
Work with vector databases and search platforms such as Pinecone, Weaviate, Qdrant, Elasticsearch, or FAISS.
Implement secure tool integrations and MCP (Model Context Protocol)-based workflows connecting APIs, databases, and enterprise systems to AI agents.
Design monitoring and evaluation pipelines for AI systems including tracing, prompt/version tracking, hallucination analysis, token/cost monitoring, and performance evaluation.
Collaborate closely with frontend, mobile, DevOps, QA, security, and product teams in a structured engineering environment.
Contribute reusable SDKs, internal frameworks, and shared AI platform components.

Skills Required

Backend Engineering

Strong backend development experience in Python, Node.js, Java, or Go
REST / GraphQL API design and development
SQL and NoSQL databases
Distributed systems and asynchronous processing
Queues and event-driven architectures (Kafka, RabbitMQ, Pub/Sub, etc.)

AI / LLM Engineering

Production experience integrating OpenAI, Anthropic, Gemini, or equivalent LLM APIs
Prompt engineering and context management
RAG architecture and retrieval pipelines
Knowledge base construction for LLM systems
Embedding strategies:

Dense embeddings
Sparse retrieval
Hybrid search
Reranking pipelines
Multilingual/domain-specific embeddings

Vector databases and semantic search systems

Agentic AI & Workflow Orchestration

LangGraph / CrewAI / AutoGen or similar agent frameworks
n8n / Temporal / Airflow or equivalent orchestration systems
MCP (Model Context Protocol) awareness and tool integration patterns
Agent memory, tool-calling, and workflow design fundamentals

Observability & Reliability

AI observability and tracing tools such as LangSmith, Langfuse, MLflow, OpenTelemetry, Grafana, Datadog, or equivalent
Token, latency, retry, and cost monitoring
Evaluation pipelines for prompts and agent workflows
Logging, metrics, tracing, and production debugging

Cloud & DevOps

AWS / GCP / Azure
Docker and containerized deployments
CI/CD pipelines
Automated testing and release workflows

Ideal Profile

4–7 years of backend engineering experience with strong system design fundamentals.
Hands-on experience building AI-powered backend systems, RAG pipelines, or agentic workflows in production environments.
Strong understanding of LLM limitations, hallucination mitigation, grounding strategies, and cost-performance tradeoffs.
Experience designing scalable AI infrastructure and enterprise-grade APIs.
Familiarity with agent monitoring, AI evaluation frameworks, and workflow orchestration platforms.
Strong debugging, performance optimization, and problem-solving skills.
Experience working in cross-functional product and engineering teams.

Apply Now

Refine Your Search

knowledge engineer semantic web technologies jobs in india

AI Engineer

Staff Software Engineer

Software Engineer, Senior

Staff Software Engineer

Product Owner - Methods & Tools

Knowledge Graph Architect - Bangalore/ Chennai/Madurai (10+ Years)

Senior Full Stack Engineer

Senior Power Platform Application Developer

SEO Manager (AI Search & Organic Growth)

IoT Architect

Senior Conversation Bot Engineer

Specialist - Software Engineering

Lead Engineer - Data & AI

Senior React Developer

Consultant, Managed Services-AEP & AJO-Hyderabad,Chennai,Bengaluru,Pune

AI Agentic Developer

Principal Engineer - Agentic AI

Senior Manager, Engineering

Digitization & Analytics Manager - Digitization & Analytics Manager - Strategic Sourcing

Senior Software Engineer I - Full Stack/ Backend - AI Interfaces

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