We are looking for a sharp, high-ownership Backend & AI Agentic Engineer who lives at the intersection of robust backend infrastructure and autonomous AI systems. In this role, you won't just build conventional CRUD endpoints or wire up basic LLM wrappers. You will architect distributed backend services and engineer autonomous AI agents capable of multi-step reasoning, dynamic tool selection, workflow orchestration, and safe execution across real-world systems.

Your Mission

Bridge production-grade backend engineering with state-of-the-art agentic AI. You will design resilient, event-driven microservices and engineer intelligent, tool-using agents that automate complex workflows with speed, determinism, and enterprise-grade reliability.

Your Responsibilities

Distributed Backend & Infrastructure

- Core Services: Design, build, and maintain high-concurrency backend services using Node.js, Bun, and TypeScript.
- API & System Architecture: Architect resilient RESTful APIs, modular service layers, and background workers using NestJS.
- Database & Data Modeling: Design, index, and optimize PostgreSQL schemas, complex transactions, and relational models for high throughput and consistency.
- Resilience & Testing: Write modular, typed, and well-tested code (unit/integration/E2E), enforcing strict error handling, observability, and distributed tracing.

AI Agent Engineering & Tool Orchestration
- Autonomous Reasoning: Architect agent runtimes capable of multi-step reasoning, plan-and-solve execution, and dynamic self-correction.
- Tool Calling & Protocols: Implement robust agent tool calling, structured outputs, memory stores (short/long-term), and protocol-driven integrations using Model Context Protocol (MCP)



and external APIs.
- Multi-Agent Systems: Build coordinated multi-agent architectures where specialized agents collaborate, delegate subtasks, and synthesize complex outputs.
- Guardrails & Execution Safety: Design fail-safe execution loops featuring exponential retries, rate limits, deterministic timeouts, and human-in-the-loop (HITL) approval gates.
- Optimization & Unit Economics: Benchmark and optimize agent latency, context windows, token consumption, and model inference costs across production workloads.

Required Qualifications

- Experience: 3+ years of professional backend engineering experience delivering production software in fast-paced product environments.
- Language Mastery: Deep proficiency in TypeScript and modern JavaScript (ESNext), with solid idioms in asynchronous programming, promises, and concurrency.
- Runtime & Frameworks: Hands-on experience developing with Node.js and NestJS (or modern enterprise TypeScript frameworks); experience with or strong interest in Bun for fast runtimes and tooling.
- Relational Databases: Strong grasp of PostgreSQL fundamentals, including schema design, query optimization, indexing strategies, and connection pooling.
- Agentic AI Fundamentals: Demonstrated understanding of LLM integration, function/tool calling patterns, prompt orchestration,



vector/memory systems, and workflow graphs.
- API & System Design: Proven track record building clean REST APIs, handling webhooks, and cleanly integrating third-party SaaS and external developer APIs.
- Engineering Mindset: Strong foundational software engineering skills—data structures, system design, separation of concerns, and defensive programming.

Nice-to-Haves
- Direct experience deploying tools or agents via the Model Context Protocol (MCP).
- Experience with agent evaluation frameworks, LLM observability (e.g., Langfuse, Helicone, or OpenTelemetry), and prompt versioning.
- Familiarity with vector databases (pgvector, Qdrant, Pinecone) or event brokers (Redis, Kafka, RabbitMQ)
- Contributions to open-source agent tooling, AI hackathons, or personal projects showcasing autonomous workflows.

Success Metrics

- Reliability & Execution Accuracy: High task-completion success rates for autonomous agents with minimal runtime failures or unbounded loops.
- System Latency & Throughput: Lean, fast backend responses and optimized token usage across agentic pipelines.
- Code Health & Velocity: Consistent delivery of maintainable, typed, and well-documented services that integrate cleanly with the broader platform.

What We Offer

- Front-Row AI Innovation: Work on real-world, production agentic architectures rather than toy AI demos.
- High Ownership & Visibility: Shape the technical standards, tooling choices, and system design of a fast-growing platform.
- Regional Hub Impact: Be a core pillar of our scaling engineering center in Visakhapatnam with clear pathways to technical leadership.

📌 Backend & AI Agentic Engineer (Vizag) (Andhra Pradesh)
🏢 Domesly
📍 Andhra Pradesh