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Ai Developer

Agentic AI Developer designing, developing, and deploying AI-powered applications using LLMs, Generative AI, and machine learning technologies.

  • Bengaluru, Karnataka, India
  • Posted Nov 10, 2026
INDUSTRYSoftware & InternetAI & Machine Learning

Responsibilities

  • Design, develop, and deploy AI-powered applications using LLMs and Generative AI technologies
  • Build RAG-based solutions and multi-agent applications
  • Integrate enterprise data sources and external systems with AI applications
  • Optimize model performance, application efficiency, and scalability
  • Collaborate with cross-functional teams to deliver production-ready AI solutions
  • Follow best practices for code quality, deployment, security, and application performance

Skills

PythonGenerative AILLM-based application developmentLangChainLangGraphCrewAIRAGvector databasesMCPA2Amulti-agent solutionscloud platformsAWSAzureGCPprompt engineeringmodel optimizationenterprise data integrationMLOpsGitDockerCI/CDPythonLangChainLangGraphCrewAIAWSAzureGCPGitDockerCI/CD

Full description

T&T | Customer | S&S | Consultant | Ai Developer | Bengaluru • Job requisition ID : 116502 • Location: Bengaluru • Entity: Deloitte Touche Tohmatsu India LLP The team Customer has to do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about: Customer Your work profile As an Agentic AI Developer in our Consulting team, you will design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Generative AI, and machine learning technologies. You will build intelligent AI solutions, integrate enterprise data sources, optimize model performance, and collaborate with cross-functional teams to deliver scalable, secure, and production-ready applications. Develop and implement AI-powered applications using LLMs and Generative AI technologies. Build RAG-based solutions and multi-agent applications. Integrate enterprise data sources and external systems with AI applications. Optimize model performance, application efficiency, and scalability. Collaborate with cross-functional teams to deliver production-ready AI solutions. Follow best practices for code quality, deployment, security, and application performance. Key skills required: 4–6 years of experience in AI development, software engineering, or related technologies. Strong proficiency in Python and Generative AI / LLM-based application development. Hands-on experience with AI frameworks such as LangChain, LangGraph, or CrewAI. Experience in RAG, vector databases, MCP, A2A, and multi-agent solutions. Knowledge of cloud platforms such as AWS, Azure, or GCP. Understanding of prompt engineering, model optimization, and enterprise data integration. Exposure to MLOps, Git, Docker, and CI/CD practices. Strong analytical, problem-solving, and communication skills. Desired Qualifications: Experience in developing and deploying scalable, secure, production-grade AI applications. Exposure to enterprise-level AI implementations and multi-agent architectures. Knowledge of machine learning technologies and cloud-based AI services. Location and way of working: - Base location: Bangalore (Preferred); other locations can also be considered.

Ai Developer at Deloitte | Referso Jobs