Interesting Job Opportunity PocketPills - AI Engineer - LLM Andamp; Agentic AI

Pocketpills Inc.; Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Pocketpills Inc. is seeking an experienced AI Engineer in Gurugram to design and deploy production-grade LLM applications and AI agents. You will translate prototypes into scalable, reliable systems and lead end-to-end AI workflows.

You should have hands-on experience with LangChain, LangGraph, LlamaIndex, vector databases, and building robust RAG pipelines, with a strong emphasis on observability, testing, and production readiness.

Qualifications

• Proven hands-on experience with LLM and AI agent development.
• Strong Python programming skills.
• Experience with LangChain/LangGraph or similar frameworks.
• Knowledge of prompt engineering and agent loop design.
• Experience with tool calling, function calling, structured outputs, and memory management.
• Deep understanding of RAG systems, embeddings, vector search, and retrieval techniques.
• Production experience with LangChain, LangGraph, LlamaIndex, or equivalents.
• Proficiency with REST APIs and backend service architecture.
• Experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant).
• Hands-on Docker and cloud infrastructure expertise.

Responsibilities

• Design and implement intelligent agents and workflows using frameworks like LangChain or similar.
• Engineer multi-step workflows with tool calling, memory management, and dynamic loops.
• Develop robust RAG systems with embeddings, vector search, and retrieval optimization.
• Build evaluation frameworks for accuracy, latency, and cost efficiency.
• Establish production-ready observability, logging, and error handling.
• Own end-to-end AI solutions from prototype to production deployment.

Skills

Python

OOP

Asynchronous programming

REST APIs

Error handling

LLM & AI agent development

Prompt engineering

Loop design

Agentic graph architecture

Tool calling

Function calling

Structured outputs

Context/memory management

RAG systems

Embeddings

Vector search

Retrieval techniques

LangChain/LangGraph/LlamaIndex

REST APIs & backend

Vector databases

Docker

Tools

LangChain

LangGraph

LlamaIndex

pgvector

Pinecone

Weaviate

Qdrant

Docker

Job description

About The Role

We're seeking an experienced AI Engineer to design and deploy production-grade LLM applications and AI agents. You'll transform complex AI solutions from prototype through production, building scalable agentic workflows and intelligent systems that drive real-world impact.

Key Responsibilities

• Design and implement intelligent agents and workflows using frameworks like LangChain, LangGraph, or similar technologies.
• Engineer sophisticated multi-step workflows incorporating tool calling, structured outputs, state management, memory systems, and dynamic loops.
• Develop robust RAG systems including embeddings, vector search, retrieval optimisation, and intelligent reranking.
• Build comprehensive evaluation frameworks to assess accuracy, reliability, latency, and cost efficiency.
• Establish production-ready observability, guardrails, logging, and error handling mechanisms.
• Own the end-to-end journey of AI solutions from initial prototype to full-scale production deployment.

Required Qualifications

• Python proficiency is essential.
• Strong software engineering fundamentals : OOP principles, asynchronous programming, REST APIs, and robust error handling.
• Proven hands‑on experience with LLM and AI agent development.
• Expertise in prompt engineering, loop design, and agentic graph architecture.
• Advanced knowledge of tool calling, function calling, structured outputs, and context/memory management.
• Deep understanding of RAG systems, embeddings, vector search, and retrieval techniques.
• Production experience with LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
• Proficiency with REST APIs and backend service architecture.
• Experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar).
• Hands‑on Docker and cloud infrastructure expertise.

Preferred Qualifications

• Experience with LangSmith or equivalent observability platforms.
• Knowledge of Model Context Protocol (MCP).
• Expertise in agent evaluation, benchmarking, and automated testing.
• Familiarity with event‑driven and asynchronous architectural patterns.

Total Experience

• 3 - 6+ years of software engineering experience with hands‑on LLM and Generative AI development.

(ref:hirist.tech)