AI Engineer, Agents & Intelligence
PinnacleU (company site, opens in a new tab)2–5 yrsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain the intelligence layer that powers AI marketing products, including AI agents capable of understanding business context, making decisions, and executing workflows.
- Design and optimize production large language model (LLM) systems focusing on quality, latency, and cost efficiency.
- Build and manage critical backend components such as tool/function calling, API orchestration, context engineering, and long-term memory systems for stateful AI applications.
Minimum Requirements
- 2-5 years of engineering experience (exceptional candidates outside this range may be considered).
- Proficient in Python and strong software engineering fundamentals.
- Hands-on experience building and shipping LLM/AI systems, including RAG, embeddings, vector search/databases, and agentic workflows.
- Strong backend skills including APIs, databases, asynchronous programming, and production infrastructure.
Ideal Candidate Profile
- Experienced in architecting and delivering complex AI agent systems that handle multi-step workflows and memory/context management.
- Comfortable working with advanced retrieval and vector search technologies, as well as AI model routing and context engineering.
- Demonstrated ability to take ambiguous AI problems from concept through production deployment, focusing on practical implementation over academic credentials.