T-Systems ICT India

Enterprise IT services, cloud and security

AI Senior Developer (GenAI & Agentic AI)

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

Four or more years of experience.
Strong programming skills in Python.
Experience with TensorFlow, PyTorch, and Scikit-learn is preferred.
Expertise in Generative AI, large language models, retrieval-augmented generation, vector databases, AI agents, and agentic AI solutions.
Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, LangGraph, CrewAI, AutoGen, or similar frameworks.
Experience building large-language-model-powered applications, retrieval-augmented generation systems, AI agents, and workflow automation solutions.
Knowledge of prompt engineering, embedding models, tool calling, and function calling.
Familiarity with Model Context Protocol and agent integration concepts.
Experience with Azure OpenAI, OpenAI GPT models, Claude, Gemini, Llama, Mistral, or similar foundation models.
Experience with vector databases such as Pinecone, ChromaDB, Weaviate, Qdrant, FAISS, or Azure AI Search.
Experience with APIs, microservices, Docker, Kubernetes, and cloud-native architectures.
Understanding of LLMOps, AI monitoring, evaluation, and production deployment.
Knowledge of SQL, NoSQL databases, and data engineering concepts.

Responsibilities

Develop and deploy large-language-model-based applications and Generative AI solutions.
Build scalable retrieval-augmented generation pipelines and AI-powered knowledge systems.
Develop AI agents and agentic workflows for automation and business processes.
Integrate AI services with enterprise applications through APIs and microservices.
Optimize prompts, embeddings, and model performance.
Collaborate with solution architects and cross-functional teams to deliver production-ready AI solutions.
Stay updated with advancements in AI, Generative AI, and agentic AI technologies.

Desired Qualifications

Experience with Azure, AWS, or GCP AI services.
Familiarity with GraphRAG, knowledge graphs, and search systems.
Exposure to AI governance and Responsible AI practices.
Experience working in Agile teams and enterprise-scale AI implementations.

Job Description

Job Description - AI Senior Developer (GenAI & Agentic AI)

Experience: 4+ Years
Location: Hyderabad

Role Overview

We are seeking an experienced AI Senior Developer with expertise in Generative AI, LLMs, RAG, and AI Agent development. The ideal candidate will be responsible for building, integrating, and deploying enterprise-grade AI applications while working closely with solution architects and business teams.

Key Responsibilities

Develop and deploy LLM-based applications and GenAI solutions.
Build scalable RAG pipelines and AI-powered knowledge systems.
Develop AI Agents and Agentic workflows for automation and business processes.
Integrate AI services with enterprise applications through APIs and microservices.
Optimize prompts, embeddings, and model performance.
Collaborate with architects and cross-functional teams to deliver production-ready AI solutions.
Stay updated with the latest advancements in AI, GenAI, and Agentic AI technologies.

Technical Skills

Strong programming skills in Python.
Experience with TensorFlow, PyTorch, Scikit-learn (preferred).
Expertise in Generative AI, LLMs, RAG, Vector Databases, AI Agents, and Agentic AI Solutions.
Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, LangGraph, CrewAI, AutoGen, or similar frameworks.
Experience building LLM-powered applications, RAG systems, AI Agents, and workflow automation solutions.
Knowledge of Prompt Engineering, Embedding Models, Tool Calling, and Function Calling.
Familiarity with Model Context Protocol (MCP) and agent integration concepts.
Experience with Azure OpenAI, OpenAI GPT Models, Claude, Gemini, Llama, Mistral, or similar foundation models.
Experience with Vector Databases such as Pinecone, ChromaDB, Weaviate, Qdrant, FAISS, or Azure AI Search.
Experience with APIs, microservices, Docker, Kubernetes, and cloud-native architectures.
Understanding of LLMOps, AI monitoring, evaluation, and production deployment.
Knowledge of SQL, NoSQL databases, and data engineering concepts.

Preferred Qualifications

Experience with Azure, AWS, or GCP AI services.
Familiarity with GraphRAG, Knowledge Graphs, and Search Systems.
Exposure to AI governance and Responsible AI practices.
Experience working in Agile teams and enterprise-scale AI implementations.

What We Offer

Opportunity to work on cutting-edge AI technologies.
Collaborative and innovative work environment.
Competitive compensation and benefits.

Qualifications

Additional Information

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About the Company

T-Systems ICT India

Enterprise IT services, cloud and security

T-Systems ICT India provides IT services as the Deutsche Telekom IT arm, helping European and global enterprises with digital transformation. Its offerings include cloud infrastructure management, cybersecurity, and outsourced IT services, delivered through partnerships with cloud providers (Microsoft, AWS, Google) and a focus on sovereign cloud solutions that keep data within Europe. The company operates as a multi-cloud service provider with in-house data centers and specialist collaborations (e.g., NVIDIA) to build an industrial AI cloud in Europe. Differences from competitors come from its emphasis on European data sovereignty, a long track record with industrial clients, and integrated telecom-IT heritage that blends networking with IT operations. Its goal is to safeguard Europe’s digital future by delivering trusted, compliant cloud and AI capabilities that offer a European alternative to US-based hyperscalers.

Company size: 10,001+
Company stage: Not listed
Total funding: Not listed
Headquarters: Frankfurt, Germany
Founded: 2000

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