Job Description

We are looking for a highly motivated AI Engineer with 3 years of experience to design and build scalable, production-grade AI solutions. This role requires strong hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks, along with the ability to integrate these solutions into real-world applications. The ideal candidate is innovation-driven, detail-oriented, and capable of delivering secure, high-performance AI systems that drive measurable business impact

Key Responsibilities

● Design and develop intelligent AI-driven solutions and applications

● Build social listening systems to track brand mentions, sentiment, and competitor

activity across digital channels

● Develop AI-powered lead scoring and prospecting solutions integrated with CRM

platforms

● Design and orchestrate AI workflows using LangChain and LangGraph, enabling

scalable multi-step reasoning, tool integration, and stateful AI agent execution

● Implement Retrieval-Augmented Generation (RAG) architectures for

knowledge-driven applications

● Optimize prompts, workflows, context management, memory handling, and overall

system performance

● Maintain technical documentation, architecture diagrams, and best practices

Technical Requirements

● Strong Python programming skills

● Hands-on experience with LLM APIs (OpenAI, Azure OpenAI or open-source LLMs)

● Experience with AI agent frameworks (LangChain, Langgraph or similar)

● Proven experience in AI agent creation, orchestration, and lifecycle management

● Strong expertise in Applied AI Engineering, including building production-ready AI

solutions

● Solid prompt engineering expertise and prompt optimization techniques

● Experience building and consuming RESTful APIs

● Strong understanding of RAG architecture and implementation patterns