About this role
Design, implement, and optimize AI Agents and scalable multi-agent architectures using LLMs, reinforcement learning, and planning algorithms, integrating with APIs, backend services, databases, and cloud platforms. Responsibilities include prompt engineering, RAG integration, model training and evaluation, deploying and maintaining AI-driven systems in production, and ensuring ethical AI practices; role requires working out of an office in Bangalore.
Skills for this role
PythonJavaScriptTypeScriptNode.jsJavaGoLangChainOpenAI APIsPyTorchTensorFlowLLMsPrompt engineeringNatural Language Processing (NLP)Agent orchestration platformsMulti-agent systemsAutogenAILangGraphMCP protocolData managementVector databasesSemantic retrievalReal-time data pipelinesAWSGoogle CloudDockerKubernetesReinforcement learningPlanning algorithmsDecision-making frameworksModel training