We are hiring an AI Engineer with strong backend and systems engineering depth to design, build and own production-grade AI systems.
You will work across AI architecture, backend systems, agent execution, data infrastructure, reliability and production operations.

What You’ll Do
Design and build scalable AI/backend systems and autonomous multi-step workflows.
Engineer agent orchestration, tool execution, context engineering, memory, retrieval, state and long-horizon execution.
Design APIs, asynchronous workers, distributed workflows, database and caching layers.
Build evaluation, observability, validation and recovery systems for non-deterministic AI behavior.
Own reliability, performance, security, latency, scalability and cost across production workloads.
Make system-level architecture decisions and debug failures across AI, backend, database and infrastructure layers.

Requirements
2+ years of professional AI, backend, platform or systems engineering experience.




Proven experience owning production or enterprise-grade systems.
Strong Python, backend architecture, API design, async/concurrent programming and system design.
Solid knowledge of PostgreSQL/SQL, Redis, queues/event-driven systems and distributed systems fundamentals.
Deep practical understanding of LLMs, agentic systems, RAG, context engineering, memory architecture, tool calling and structured generation.
Experience with Docker, Kubernetes/cloud infrastructure, CI/CD, Linux and observability/tracing.
Understanding of AI evaluation, model routing/fallbacks, caching, token/cost optimization and production failure handling.
Ability to design deterministic safeguards around probabilistic AI systems and make sound architectural trade-offs.

We want engineers who can own the complete AI system—from model interaction and backend architecture to infrastructure and production reliability.

📌 AI Engineer (India)
🏢 AlgorithmX
📍 India