Senior AI Developer (m/f/d)

Job Description JobDescription - 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.

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Your Task

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. This role requires 4+ years of experience and this position is based in Hyderabad.

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

Your Profile

We are seeking an experienced AI Senior Developer with expertise in Generative AI, LLMs, RAG, and AI Agent development, with strong programming skills in Python and hands-on experience with modern AI frameworks and cloud-native architectures.

Must Have Skills

• 4+ years of experience

• Strong programming skills in Python

• Expertise in Generative AI

• Expertise in LLMs (Large Language Models)

• Expertise in RAG (Retrieval-Augmented Generation)

• Expertise in Vector Databases

• Expertise in AI Agents

• Expertise in Agentic AI Solutions

• Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, LangGraph, CrewAI, AutoGen, or similar frameworks

• Experience building LLM-powered applications

• Experience building RAG systems

• Experience building AI Agents

• Experience building workflow automation solutions

• Knowledge of Prompt Engineering

• Knowledge of Embedding Models

• Knowledge of Tool Calling

• Knowledge of Function Calling

• Familiarity with Model Context Protocol (MCP)

• Familiarity with 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

• Experience with microservices

• Experience with Docker

• Experience with Kubernetes

• Experience with cloud-native architectures

• Understanding of LLMOps

• Understanding of AI monitoring

• Understanding of AI evaluation

• Understanding of production deployment

• Knowledge of SQL databases

• Knowledge of NoSQL databases

• Knowledge of data engineering concepts

Nice to Have Skills

• Experience with TensorFlow

• Experience with PyTorch

• Experience with Scikit-learn

• Experience with Azure AI services

• Experience with AWS AI services

• Experience with GCP AI services

• Familiarity with GraphRAG

• Familiarity with Knowledge Graphs

• Familiarity with Search Systems

• Exposure to AI governance

• Exposure to Responsible AI practices

• Experience working in Agile teams

• Experience with enterprise-scale AI implementations