Full Stack Engineer

zenda; Bengaluru; On-site; INR 600,000 - 1,000,000; Full time

Job summary

zenda is hiring a Full-Stack Software Engineer (Agentic Systems) in Bengaluru to build and optimize RESTful services in Java Spring Boot and to develop UI with Angular/Ionic.

You will integrate AI productivity tools, design Agentic Development Environments, and contribute to reliable, scalable AI-driven solutions across workflows. 2–4 years preferred; compensation up to 10 LPA.

Qualifications

• 2–5 years of software engineering experience 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.

Responsibilities

• Full-Stack Orchestration: Build and optimize 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, Antigravity) into the team's daily workflow to 3–4x development speed.
• Agentic Dev Setup: Design and maintain specialized Agentic Development Environments that automate boilerplate generation, code refactoring, and documentation for Java and Angular projects.
• Harness Engineering: Build and deploy Evaluation & Safety Harnesses to benchmark agent-generated code against security standards, performance metrics, and functional unit tests.
• Context Engineering: Architect advanced RAG & State Management systems that provide agents with precise project-level context, ensuring high-fidelity code generation and minimizing token hallucinations.
• System Reliability: Ensure agentic workflows meet production standards for scalability, latency, and token cost-efficiency (utilizing semantic caching and prompt optimization).
• Conduct code reviews and enforce best practices across AI and software engineering.
• Stay current with advancements in agentic AI, orchestration frameworks, and LLM infrastructure.

Job description

Full-Stack Software Engineer (Agentic Systems)

Experience Level: 2-4 Years

Compensation: Upto 10 Lacs per annum (flexible for the right candidate with relevant experience)

Responsibilities:

• Full-Stack Orchestration: Build and optimize 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, Antigravity) into the team's daily workflow to 3–4x development speed.
• Agentic Dev Setup: Design and maintain specialized Agentic Development Environments that automate boilerplate generation, code refactoring, and documentation for Java and Angular projects.
• Harness Engineering: Build and deploy Evaluation & Safety Harnesses to benchmark agent-generated code against security standards, performance metrics, and functional unit tests.
• Context Engineering: Architect advanced RAG & State Management systems that provide agents with precise project-level context, ensuring high-fidelity code generation and minimizing token hallucinations.
• System Reliability: Ensure agentic workflows meet production standards for scalability, latency, and token cost-efficiency (utilizing semantic caching and prompt optimization).
• 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.