PocketPills - AI Engineer - LLM & Agentic AI

Pocketpills Inc.; Gurugram District; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Pocketpills Inc. is seeking an experienced AI Engineer to design and deploy production‑grade LLM applications and AI agents.

You will transform prototypes into scalable, real‑world systems, building agentic workflows that automate complex tasks. You will work with LangChain, LangGraph and related tools to implement robust RAG pipelines, memory management, and tool integrations, delivering observable, reliable solutions in a cloud environment.

Qualifications

• 3–6+ years in software engineering with hands‑on LLM/Generative AI.
• Proven hands-on experience with LLM and AI agent development.
• Expertise in prompt engineering, loop design, and agentic graph architecture.
• Production experience with LangChain, LangGraph, LlamaIndex, or equivalents.

Responsibilities

• Design and implement intelligent agents and workflows.
• Build multi-step workflows with tool calling and memory.
• Develop robust RAG systems with embeddings and vector search.
• Create evaluation frameworks for accuracy, latency, and cost.
• Establish observability, guardrails, logging, and error handling.
• Own end-to-end AI deployment from prototype to production.

Skills

Python

OOP

Async

REST APIs

Error Handling

LLM/Agent

Prompt Eng

Loop Design

Agent Graph

Tool Calling

Function Calling

Structured Outputs

Context/Memory

RAG Systems

Embeddings

Vector Search

Retrieval Ops

LangChain

LangGraph

LlamaIndex

Docker

Cloud Infra

Tools

LangChain

LangGraph

LlamaIndex

Docker

Pinecone

Weaviate

Qdrant

pgvector

Cloud Infra

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)