AI Agentic Engineer

Location: Remote
Experience: 6+ years
Positions: 1
Employment Type: Full-time

Job Overview

We are looking for an experienced AI Agentic Engineer to design, develop, and deploy production-grade AI agents and autonomous workflows. The ideal candidate will have strong Python and LLM expertise, hands-on experience with agent frameworks, RAG, orchestration, evaluation, and cloud deployment, with a strong focus on enterprise-grade reliability and security.

Key Responsibilities
- Design and develop autonomous AI agents capable of multi-step reasoning, planning, task decomposition, and dynamic decision-making.
- Build agent architectures using ReAct, Plan-and-Execute, Reflexive, hierarchical, and multi-agent patterns.
- Develop tool-augmented and function-calling agents with secure tool execution.
- Implement agent memory, state management, context management, and long-term knowledge retention.
- Build and optimize RAG pipelines using vector databases, embeddings, chunking, retrieval, and hybrid search.
- Develop planning, re-planning, feedback, self-correction,



and graceful-recovery mechanisms.
- Integrate LLMs from OpenAI, Azure OpenAI, Anthropic, and open-source ecosystems.
- Build agent orchestration using LangGraph/LangChain, Semantic Kernel, AutoGen, CrewAI, or custom orchestration frameworks.
- Implement observability, tracing, logging, model/prompt versioning, and production monitoring.
- Design evaluation frameworks covering task success, reliability, latency, cost, hallucination, and safety.
- Implement security controls for prompt injection, jailbreaks, data isolation, privilege management, and safe tool execution.
- Integrate agents with enterprise applications, databases, APIs, SaaS platforms, CRM/ERP systems, and event-driven services.
- Deploy and operate agentic applications using cloud platforms and modern DevOps practices.

Required SkillsProgramming & Systems
- Expert-level Python programming.
- Robust understanding of asynchronous

📌 AI/ML Engineer (India)
🏢 Delphic Global
📍 India