Responsibilities Full-Stack Orchestration: Build and optimise RESTful services in Java (Spring Boot) to coordinate multi-agent reasoning, planning, and task execution. Develop the UI for these functionalities using a modern JS framework like Angular (Ionic).

AI-Driven SDLC: Integrate AI productivity tools (Cursor, Claude Code, and Antigravity) into the team's daily workflow to 3-4x development speed.

Agentic Dev Setup: Design and maintain specialised agentic development environments that automate boilerplate generation, code refactoring, and documentation for Java and Angular projects.

Harness Engineering: Build and deploy evaluation and safety harnesses to benchmark agent-generated code against security standards, performance metrics, and functional unit tests.

Context Engineering: Architect advanced RAG and state management systems that provide agents with accurate project-level context, ensuring high-fidelity code generation and minimising token hallucinations.

System Reliability: Ensure agentic workflows meet production standards for scalability, latency, and token cost-efficiency (utilising semantic caching and prompt optimisation).





Conduct code reviews and enforce best practices across AI and software engineering.

Stay current with advancements in agentic AI, orchestration frameworks, and LLM infrastructure.

Requirements 2-5 years of experience in software engineering with hands-on exposure to AI-driven systems.

Strong algorithmic thinking, coding skills, problem-solving skills, and systems-level reasoning.

Understanding of multi-agent architectures, agent communication patterns, and task coordination.

Solid understanding of SDLC, system design, and scalable backend architectures.

Experience building and integrating RESTful APIs and UIs for AI and non-AI services.

Familiarity with AI developer productivity tools such as Cursor, Antigravity, Claude Code, Codex or equivalent platforms.

Strong communication and collaboration skills in fast-moving, experimental environments.

Experience building and deploying production-grade applications end-to-end quickly using agentic AI is mandatory.

Experience with open-source AI models and AI inference engines is a plus but not mandatory. This job was posted by Meenal Sharma from Zenda.

📌 AI Software Engineer (Bengaluru)
🏢 zenda
📍 Bengaluru