Full Stack AI Engineer

Compensation: ₹12L – ₹18L • No equity

Job Title: Full Stack AI Engineer Location: Remote/Hyderabad Experience Level: 3-5 Salary Range: 12-18LPA Application Link:https://beyond.ciltriq.com/apply/BUILD

Description: Join a team building AI-powered systems that solve complex business problems and automate operational workflows across document processing, voice agents, enterprise integrations, workflow automation, and multi-agent systems.

Strong full-stack foundations: frontend state management, asynchronous user experiences and performance; backend API design, authentication, data modelling, databases, queues and distributed systems.

Strong coding ability in Python and JavaScript or TypeScript, with practical experience in modern frontend frameworks and backend services.

Requirements:

• Design and build complete systems: frontend applications, backend services, APIs, databases, data pipelines and integrations with customer systems.
• Build multi-agent workflows with clear agent responsibilities, tool access, shared state, context management, routing, handoffs and coordination across sequential and parallel tasks.
• Make agent execution dependable through durable state, checkpoints, retries, timeouts, idempotency, recovery and human approval or review where needed.
• Deliver document-processing pipelines, voice agents and retrieval-based AI applications, connecting model outputs to useful actions in real business workflows.
• Own quality in production: automated tests, AI evaluations, guardrails, observability, access controls, deployments, incident response and clear documentation.
• Choose where AI adds value and where deterministic software is the better fit. Balance accuracy, latency, cost, security and maintainability.
• Improve reusable engineering foundations, review code and help other engineers grow as the team expands.
• A solid understanding of tool calling, structured outputs, retrieval, context and memory management, model selection and evaluation.
• Practical cloud and deployment experience, including containers, CI/CD, secrets management, logging, monitoring and production debugging.
• Ability to reason from first principles, investigate failures across system boundaries and communicate technical decisions clearly to customers and teammates.
• Useful additional experience: Document AI and OCR, real-time voice systems, enterprise integrations, agent protocols such as MCP, and orchestration frameworks.
• Useful additional experience: Mentoring engineers or building reusable platforms.