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Tier-1 employer, Bengaluru metro, mid-level staff AI role and broad skillset drive high competition.
Medium: core ML and LLM skills transfer broadly, but agentic systems and enterprise integration favor AI-specialized backgrounds.
High: explicit 5+ years requirement plus specialized AI, LLM, RL, and cloud/container mandatory skills.
Design, develop, and optimize autonomous AI agents leveraging LLMs, reinforcement learning, and planning algorithms to solve complex business challenges.
Develop scalable multi-agent AI architectures with long horizon reasoning, autonomy, and complex task completion, integrating with APIs and enterprise systems.
Monitor and enhance AI agent performance, ensure reliability and ethical AI practices, and maintain comprehensive technical documentation.
Master's or PhD in Computer Science, AI/ML, Engineering, Mathematics, or related field.
5+ years of relevant experience with minimum 3 years specifically in AI, GenAI application development and deployment focusing on autonomous agent systems or related AI software engineering roles.
Proficiency in Python and AI/ML frameworks like LangChain, OpenAI APIs, PyTorch, TensorFlow; experience with LLMs, prompt engineering, and multi-agent systems.
Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
Experienced in designing and building GenAI applications involving agent orchestration, multi-step reasoning, prompt engineering, retrieval augmented generation (RAG) integration, and model selection.
Able to operate independently in fast-paced, experimental environments with strong software engineering and system architecture skills.
Strong technical expertise in machine learning model lifecycle management, data generation, training, validation, and integrating state-of-the-art AI research into production systems.