Artificial Intelligence Consultant

Dynamics Monk Consulting Services; Delhi; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Dynamics Monk Consulting Services seeks an AI Engineer to build and integrate LLM-powered applications, with strong Python and Generative AI skills. You will work with senior engineers on LLM apps, RAG pipelines, prompts, and Azure-based solutions to deliver scalable AI tasks.

The role emphasizes hands-on experience with LangChain, LangGraph, Azure OpenAI, and REST APIs using FastAPI, along with best practices for security and Responsible AI. Join us to shape practical Generative AI outcomes.

Qualifications

• 2–3 years of professional software engineering experience.
• 6–12+ months hands-on experience with LLMs / Generative AI.
• Hands-on experience with LangChain & LangGraph — mandatory.
• Hands-on Microsoft Azure experience — mandatory.
• Experience with Azure OpenAI Service and/or Azure AI Search.
• Experience building REST APIs using FastAPI or similar frameworks.
• Practical knowledge of RAG, embeddings, vector databases, and semantic search.
• Working knowledge of SQL and relational databases.
• Strong Git, testing, debugging, and clean-code fundamentals.

Responsibilities

• Build LLM-powered applications, chatbots, and AI agents using Python, LangChain, and LangGraph
• Develop RAG pipelines covering document processing, chunking, embeddings, retrieval, and vector search
• Design and optimize prompts and context templates for business use cases
• Build AI agents, tool/function calling, multi-step workflows, and MCP-based integrations
• Develop backend services and REST APIs using FastAPI
• Deploy AI workloads on Microsoft Azure, including Azure OpenAI Service and Azure AI Search
• Implement logging, monitoring, evaluation, and optimization for accuracy, relevance, latency, and cost
• Build automation using n8n, Zapier, Make, or Python
• Collaborate with product managers, software engineers, and data scientists to deliver scalable AI solutions
• Follow best practices for security, privacy, Responsible AI, prompt-injection protection, and data security

Skills

LangChain

LangGraph

Azure

Azure OpenAI

Azure AI Search

FastAPI

REST APIs

RAG

Embeddings

Vector DB

Semantic search

SQL

Git

Testing

Debugging

Clean code

Job description

About the Role

We’re looking for an AI Engineer / Generative AI Engineer with strong hands‑on experience in Python and Generative AI to build and integrate LLM-powered applications and intelligent solutions.

You’ll work closely with senior engineers across the GenAI stack, including LLM applications, RAG pipelines, prompt engineering, agentic workflows, APIs, evaluation, and Azure-based AI solutions.

This is an excellent opportunity for an engineer with hands‑on LLM exposure who wants to grow their career in Applied Generative AI.

What You’ll Do

• Build LLM-powered applications, chatbots, and AI agents using Python, LangChain, and LangGraph
• Develop RAG pipelines covering document processing, chunking, embeddings, retrieval, and vector search
• Design and optimize prompts and context templates for business use cases
• Build AI agents, tool/function calling, multi-step workflows, and MCP-based integrations
• Develop backend services and REST APIs using FastAPI
• Deploy AI workloads on Microsoft Azure, including Azure OpenAI Service and Azure AI Search
• Implement logging, monitoring, evaluation, and optimization for accuracy, relevance, latency, and cost
• Build automation using n8n, Zapier, Make, or Python
• Collaborate with product managers, software engineers, and data scientists to deliver scalable AI solutions
• Follow best practices for security, privacy, Responsible AI, prompt-injection protection, and data security

Requirements

• 2–3 years of professional software engineering experience
• 6–12+ months hands‑on experience with LLMs / Generative AI
• Hands‑on experience with LangChain & LangGraph — mandatory
• Hands‑on Microsoft Azure experience — mandatory
• Experience with Azure OpenAI Service and/or Azure AI Search
• Experience building REST APIs using FastAPI or similar frameworks
• Practical knowledge of RAG, embeddings, vector databases, and semantic search
• Working knowledge of SQL and relational databases
• Strong Git, testing, debugging, and clean-code fundamentals
• Strong curiosity, problem‑solving ability, and willingness to learn

Good to Have

• GenAI/LLM personal projects, hackathons, or GitHub portfolio
• Experience with Azure AI Foundry or LangSmith
• Knowledge of MCP and structured/tool‑calling outputs
• Exposure to multimodal AI, OCR, Document Intelligence, or Agentic RAG
• Docker and containerization experience
• CI/CD exposure with Azure DevOps or GitHub Actions
• Relevant Azure AI / Generative AI certifications