Location: Hyderabad, Pune, Gurgaon
Experience: 6–9 Years
Role: AI Native Software Engineer
Employment: Full-Time

We are looking for an AI-Native Software Engineer who treats AI as a core engineering partner—not just a coding assistant.

Key Responsibilities
• Design production-grade Agentic AI systems for HR, Finance & Operations
• Architect RAG pipelines – ingestion, chunking, embeddings, hybrid search & retrieval evaluation
• Build multi-agent workflows using LangGraph, LangChain, AutoGen or equivalent
• Design agent routing, tools, guardrails, fallback paths & evaluation frameworks
• Implement Human-in-the-Loop (HITL) validation for high-impact/irreversible actions
• Write precise technical specifications and context rules for AI agents
• Review and audit AI-generated code for security, performance and correctness
• Develop backend APIs, integrations and lightweight frontend components
• Build automated testing and CI/CD pipelines with strong edge-case and adversarial coverage

Must-Have Skills
Strong Python / Software Engineering fundamentals
System Design,



Distributed Systems, DSA & API Architecture
LangGraph / LangChain / AutoGen or equivalent agentic frameworks
Production experience with RAG & Vector Databases
Embeddings, Hybrid Search & RRF (Reciprocal Rank Fusion)
Prompt & Context Engineering
AI-native tools: Cursor / Windsurf / GitHub Copilot / Claude Code / Aider / Codex CLI
AWS / Azure / GCP
REST APIs, async programming & enterprise integrations
Automated testing, CI/CD & code auditing

Good to Have
• SAP SuccessFactors / Workday / Concur / Oracle HCM integration experience
• Enterprise IAM – Okta / Azure AD
• Fine-tuning, MLOps or model evaluation experience
• GitHub/portfolio demonstrating AI-native or spec-driven development

Ideal Candidate: An architect-minded engineer who can design the system, write accurate specifications, orchestrate AI agents, and rigorously validate AI-generated code before production.

? Interested? Share your updated CV / DM

📌 Artificial Intelligence Engineer (Hyderabad)
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