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Tier-1 brand, metro location, mid-level AI role with broad requirements intensifies applicant competition.
GenAI agent engineering skills are highly domain-specific, reducing cross-industry transferability.
Requires Masters, 3+ years, and specialized GenAI, RL, LLMs, and deployment skills, so filters are strict.
Design, implement, and optimize scalable AI Agents using LLMs, multi-agent architectures, and reinforcement learning to enable long-horizon reasoning and complex task completion.
Integrate AI Agents with enterprise systems, APIs, databases, and maintain their deployment and reliability in production environments.
Continuously improve AI Agent performance using feedback loops, ethical AI practices, and collaborate across research, engineering, and product teams to innovate and document technical solutions.
Master's degree in Computer Science, AI/ML, Engineering, Mathematics or related field.
At least 3+ years of relevant experience developing and deploying AI/GenAI applications with autonomous agent systems or similar AI software engineering roles.
Proficiency in Python and/or JavaScript, TypeScript, Node.js, Java, or Go and experience with AI/ML frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow.
Must be willing to work out of the office located in Bangalore.
Experienced in designing and deploying GenAI applications incorporating agent orchestration, multi-step reasoning, prompt engineering, and retrieval-augmented generation (RAG).
Strong foundation in AI/ML lifecycle management including model training, fine-tuning, validation, and system architecture for large-scale AI solutions.
Comfortable working independently in fast-paced, experimental environments and collaborating with cross-functional teams on cutting-edge AI technology development.