India Engineer semantic web technologies Jobs – 144 Open Jobs Today

Agentic AI Developer
Erasmith —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- Databases
Lead Full Stack Engineer (UI)
Optum —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
- Health insurance
Product Engineer
Allica Bank —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Master's degree
- Databases
- APIs
Principal Architect-UI Platforms
Microsoft —Bengaluru, Karnataka
- Full-time
- Computer Science
- Windows
- Java
Full Stack Developer (React and Ruby on Rails)
Accellor —Hyderabad, Telangana
- Full-time
- Hybrid work
- Databases
- SQL
- AWS
- Health insurance
- Paid time off
Quick apply
IT engineer data lakehouse
Continental —Bengaluru, Karnataka
- Online application
- Azure
- Computer Science
- DevOps
Senior Staff Engineer
India Health Link Pvt Ltd —Hyderabad, Telangana
- Azure
- Computer Science
- B.Sc
Quick apply
IT engineer data lakehouse M&E/QM
Continental —Bengaluru, Karnataka
- Online application
- Azure
- Computer Science
- DevOps
Staff Engineer
India Health Link Pvt Ltd —Hyderabad, Telangana
- Azure
- Computer Science
- B.Sc
Quick apply
AI Engineer
Deutsche Telekom Digital Labs —Gurugram, Haryana
- Azure
- System design
- Java
3d
Staff Software Engineer
Fanatics —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
Senior AI Engineer - LLM Evaluation
Autodesk —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
SAP BW/HANA Engineer
Atlas Copco Group —Pune, Maharashtra
- Hybrid work
- English
- SQL
- Project management
Lead Data Engineer
Carrier —Hyderabad, Telangana
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Flexible schedule
Senior Full Stack Engineer (.NET, Angular, Blazor)
CareerBoard —Kochi, Kerala
- Up to ₹1,00,000 a month
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Quick apply
Staff Software Engineer
Fanatics E-Commerce (India) LLP —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Full Stack Gen AI Engineer
Orion Innovation —Coimbatore, Tamil Nadu
- Azure
- AWS
- APIs
Quick apply
6d
Senior Full Stack Engineer
Tarento Technologies Pvt. Ltd. —Bengaluru, Karnataka
- Master's degree
- Databases
- JavaScript
Senior Power Platform Application Developer
Yash Technologies —Pune, Maharashtra
- Azure
- SQL
- JavaScript
14d
Software Engineer, Senior
Infor —Hyderabad, Telangana
- Full-time
- Azure
- Master's degree
- Databases
2d

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Agentic AI Developer

Erasmith
Delhi, Delhi

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Job details

Full-time

Qualifications

BCS
CI/CD
Azure
Cloud architecture
Computer Science
CSS
React
Software deployment
Enterprise Software
Git
Application development
Databases
Microservices
AWS
Bachelor's degree
Machine learning
JavaScript
Version control systems
Continuous integration
Azure Certification
Back-end development
REST
Natural language processing
Semantic Web
Software development
APIs
ServiceNow
Web services
JSON
Data science
AI
Communication skills
Python
HTML
Information Technology

Full job description

Role: Agentic AI Developer
Experience Required: 5–10 Years
Employment Type: Full-Time
Deployment Type: Onsite

Role Summary:

The Agentic AI Developer will be responsible for designing, developing, and deploying intelligent AI-driven solutions using Agentic AI frameworks, Large Language Models (LLMs), and automation technologies. The role involves building scalable AI applications, integrating enterprise systems, developing automation workflows, and collaborating with business stakeholders to drive digital transformation initiatives through AI-powered solutions.

Key Responsibilities:

Design and develop Agentic AI workflows for business use cases and enterprise automation initiatives
Build intelligent automation solutions using AI/ML technologies, scripting, and orchestration frameworks
Develop user interfaces and interactive applications for AI-driven solutions
Integrate AI models, LLMs, APIs, and external services into enterprise applications
Develop and maintain scalable backend systems supporting AI-powered applications
Build and optimize process automation frameworks using Python, APIs, and orchestration tools
Collaborate with stakeholders to identify automation opportunities and AI adoption strategies
Ensure performance, reliability, scalability, and security of AI solutions
Continuously evaluate and implement emerging AI technologies, frameworks, and best practices

Required Skills & Qualifications:

5–10 years of experience in software development, automation, AI/ML, or related technology domains
Strong understanding of AI/ML concepts including LLMs, NLP, embeddings, RAG, vector search, and prompt engineering
Hands-on experience with Agentic AI frameworks such as LangChain, AutoGen, CrewAI, LangGraph, or similar technologies
Proficiency in Python programming and backend application development
Experience integrating enterprise applications using REST APIs, JSON, microservices, and web services
Understanding of process automation frameworks and intelligent workflow orchestration
Experience with data handling, AI model integration, prompt engineering, and model optimization techniques
Knowledge of Git, version control systems, CI/CD pipelines, and deployment practices
Experience with Power Platform, ServiceNow, RPA tools, or similar automation platforms
Familiarity with vector databases, knowledge retrieval systems, and semantic search technologies
Experience in frontend development using Streamlit, React, HTML, CSS, JavaScript, or similar technologies
Strong communication, problem-solving, and stakeholder management skills

Preferred Skills:

Agentic AI Development: LangChain, CrewAI, AutoGen, LangGraph, multi-agent systems, workflow orchestration
AI/ML Technologies: LLMs, NLP, RAG, embeddings, vector databases, prompt engineering, AI model tuning
Automation & Integration: Process automation, APIs, microservices, Power Platform, ServiceNow, RPA tools
Cloud Platforms: Experience with Azure, AWS, or GCP environments and AI services
Security & Compliance: Exposure to AI security, data privacy, governance, and compliance requirements

Education:

Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or a related field

Preferred Certifications:

Microsoft Azure AI Engineer Associate
AWS Certified Machine Learning – Specialty
Google Professional Machine Learning Engineer
LangChain or Generative AI-related Certifications
Microsoft Power Platform Certifications – Advantage
AI/ML, Data Science, or Cloud Architecture Certifications – Preferred

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engineer semantic web technologies jobs in india

Agentic AI Developer

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