company

AI Engineer - Advanced Systems Developer

On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Experience

Qualifications

Required Qualifications & Skills:Backend Development Expertise: Proven experience with backend development (e.g., Python, Node.js) and a strong portfolio of applications built and deployed in a cloud environment. RAG System Design: Deep hands-on experience in designing and building traditional and advanced Agentic RAG systems from scratch. Multi-Agent Frameworks: Demonstrable experience in building multi-agent systems using frameworks like Crew AI or similar technologies (e.g., LangGraph, LlamaIndex). API Integration: Expertise in developing and consuming REST APIs and integrating various third-party services. Data Connectivity: Strong understanding of data integration patterns with experience in connecting to and managing data from various sources.

About the job

Key Responsibilities:

  1. Enhance RAG Implementation: Optimize and implement advanced Agentic RAG and standard RAG pipelines, focusing on superior Prompt Context Engineering to deliver precise, relevant, and high-quality information to AI agents.
  2. Design and Build Agentic Systems: Develop and deploy autonomous multi-agent systems using frameworks such as Crew AI to address complex business challenges.
  3. Facilitate Agent-to-Agent A2A Communication: Implement and improve A2A protocols for collaborative task execution across multiple AI agents.
  4. Create MCP Connectors: Develop, test, and maintain connectors to enable seamless interaction between our AI agents and critical data sources, including:
    • Microsoft Spreadsheets
    • Databricks Lakehouse
    • Postgres databases
  5. Develop Robust Backend APIs: Create scalable REST APIs that serve as the backbone for our AI bots and applications, ensuring reliable communication and integration.
  6. Manage Cloud Deployment: Oversee deployment management and monitoring of AI applications within the Open Telekom Cloud (OTC) environment.
  7. Utilize AI-Powered Development Tools: Incorporate modern AI coding assistants such as GitHub Copilot in your daily workflow to write, debug, and optimize code efficiently.

About T-Systems Information and Communication Technology India Pvt. Ltd.

T-Systems Information and Communication Technology India Pvt. Ltd. is a certified Great Place To Work®, recognized for its commitment to a people-first culture and employee excellence. Operating from Pune and Bangalore, T-Systems India is a wholly owned subsidiary of T-Systems International GmbH, consisting of a dynamic team over 4,200 professionals delivering high-value IT services worldwide. For over 25 years, T-Systems has been a leader in digital innovation, providing integrated IT solutions and sector-specific software that drives transformation across industries such as automotive, manufacturing, logistics, healthcare, and public services.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.