Artificial Intelligence Engineer

Designation: AI Engineer / Data Scientist

Experience: 5-7 Years Experience

Preferred Location: Remote

Job Overview

We are seeking a highly skilled Data Scientist / AI Engineer with deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks to design and build an intelligent chatbot platform.

The solution will power scheduling and order management workflows, leveraging data stored in MySQL databases and integrating with real-time communication systems (voice and messaging). The ideal candidate will have strong experience in NLP, applied AI systems, and production-grade deployments, with the ability to design scalable, tool-augmented AI agents.

Key Responsibilities

Design, develop, and optimize AI-driven chatbot systems using LLMs and RAG architectures

Implement retrieval-based and generative AI pipelines for accurate and context-aware responses

Build and orchestrate Agentic AI workflows using frameworks such as Lang Graph, CrewAI, or AWS Bedrock Agents

Design and implement tooling layers for LLMs, enabling structured API calling, function execution, and workflow automation

Work with MySQL databases to extract, transform, and serve structured data for AI interactions

Develop and optimize embeddings and vector search pipelines for high-relevance retrieval

Fine-tune and customize LLM behavior for domain-specific use cases (scheduling, order lifecycle, customer interactions)

Integrate chatbot systems with communication platforms (e.g., voice via Vapi, SMS/voice via Twilio)

Collaborate with backend and platform teams to deploy AI services on AWS (Fargate, Lambda)

Monitor, evaluate, and continuously improve model performance using feedback loops and analytics

Ensure data security, privacy compliance, and system reliability in production environments

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field

5+ years of experience in NLP, machine learning, or applied AI systems

Strong hands-on experience with LLMs (GPT, LLaMA, Mistral, Claude, etc.)

Proven experience building RAG-based systems in production

Proficiency in Python and modern AI orchestration frameworks (e.g., LangChain or similar)

Experience with Agentic AI frameworks such as LangGraph, CrewAI, or AWS Bedrock

Strong understanding of tool calling / function calling patterns for LLMs

Solid experience with MySQL (query optimization, indexing, schema design)

Experience with vector databases (FAISS, Pinecone, ChromaDB, Weaviate, etc.)

Experience deploying AI services using Docker and AWS (Fargate, Lambda)

Strong understanding of embeddings, retrieval mechanisms, and prompt engineering

Preferred Qualifications

Experience building AI chatbots in domains such as e-commerce, logistics, or customer support

Experience integrating voice and messaging systems (e.g., Vapi, Twilio)

Familiarity with multi-agent systems and orchestration patterns

Understanding of MLOps practices, observability, and CI/CD for AI systems

Experience designing low-latency, high-availability AI systems at scale

Strong debugging and optimization skills across AI pipelines and distributed systems

What We’re Looking For (Hiring Signal)

Someone who can go beyond “calling an LLM API” and design full AI systems

Strong ability to translate business workflows into agentic AI pipelines

Experience working in production environments with real users and real constraints

A builder mindset with ownership of end-to-end AI lifecycle (design → deploy → optimize)

Tech Stack Context (for Candidates)

LLM Stack: OpenAI / LLaMA / Mistral / Claude

Agent Frameworks: LangGraph, CrewAI, AWS Bedrock

Backend & Infra: AWS Lambda, AWS Fargate

Data Layer: MySQL + Vector Databases

Communication: Vapi (voice), Twilio (SMS/voice)