AI Senior Developer

Location: Pune, MH, in

Company Description

Company Introduction – T-Systems ICT India Pvt. Ltd. T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a certified Great Place To Work®, proudly recognized for its strong people-first culture and commitment to employee excellence. As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates out of Pune and Bangalore, with a dynamic team of over 4,200 professionals delivering high-value IT services to group customers worldwide. T-Systems India plays a key role in this global vision by delivering integrated, end-to-end IT solutions and sector-specific software to drive transformation across industries, including automotive, manufacturing, logistics, transportation, healthcare, and the public sector. For over 25 years, T-Systems International GmbH has been at the forefront of digital innovation, driving progress and fostering digital optimism. As a leading European IT services provider and a proud part of Deutsche Telekom, T-Systems delivers transformative digitalization projects backed by deep expertise in consulting, cloud, AI, cybersecurity, and connectivity. With a global workforce of 26,000 employees across 26 countries, we set industry benchmarks in efficiency, sovereignty, security, and reliability—empowering organizations to unlock their full digital potential. With annual revenues exceeding EUR 4.0 billion (2024), T-Systems stands as one of Europe’s foremost digital transformation partners, committed to shaping the future of enterprise technology.

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.

Additional Information

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