Senior AI Engineer; AI Agents, RAG & Generative AI

Job Summary

Brocode Solutions is seeking an experienced and innovative AI Engineer to lead the design, development, and deployment of cutting‑edge AI solutions. The ideal candidate will have extensive experience in Generative AI, AI Agents, Retrieval‑Augmented Generation (RAG), large language models, and intelligent chatbot development. You will build enterprise‑grade AI applications, autonomous agents, knowledge retrieval systems, and AI‑powered business automation solutions for clients across multiple industries.

• Design, develop, and deploy AI‑powered applications using large language models (LLMs).
• Build intelligent AI agents capable of planning, reasoning, tool usage, and workflow automation.
• Develop and optimize retrieval‑augmented generation (RAG) systems using vector databases and enterprise knowledge bases.
• Architect conversational AI solutions, chatbots, virtual assistants, and customer support automation platforms.
• Fine‑tune, evaluate, and optimize open‑source and commercial AI models.
• Integrate AI solutions with enterprise systems such as ERP, CRM, HRMS, and custom applications.
• Build multi‑agent systems and orchestrate complex AI workflows.
• Implement prompt engineering, agent memory, tool calling, and function execution frameworks.
• Develop scalable APIs and microservices for AI applications.
• Collaborate with software engineering teams to deploy AI solutions in cloud and on‑premise environments.
• Monitor model performance, accuracy, hallucination rates, and AI system reliability.
• Stay current with emerging AI technologies and industry best practices.

7–10 years of software engineering experience with at least 4+ years focused on AI/ML.

• Strong experience with generative AI and large language models (GPT, Claude, Gemini, Llama, Mistral, etc.).
• Hands‑on experience building AI agents using frameworks such as Lang Chain, Lang Graph, CrewAI, Auto Gen, Llama Index, Semantic Kernel, RAG & Knowledge Systems.
• Extensive experience designing and implementing RAG architectures.
• Experience with vector databases:
  • Pinecone
  • Weaviate
  • Qdrant
  • ChromaDB
  • Milvus
  • FAISS
• Knowledge of document processing, embeddings, chunking strategies, and semantic search.
• Chatbot and conversational AI experience, including enterprise chatbots and virtual assistants.
• Experience with conversational memory, context management, and multi‑turn interactions.
• Integration with Whats App, Microsoft Teams, Slack, Web, and Mobile platforms.
• Expert‑level Python development.
• Experience with FastAPI, Django, Flask, REST APIs, Graph
  
  QL.
• Cloud & Dev Ops experience with AWS, Azure, or Google Cloud.
• Containerization using Docker and Kubernetes.
• CI/CD pipelines and MLOps practices.
• Model deployment and monitoring.
• Databases:
  Postgre
  
  SQL, Mongo
  
  DB, Redis, Elasticsearch.

• Experience building autonomous AI agents for business process automation.
• Knowledge of multimodal AI systems (text, image, audio, video).
• Experience with fine‑tuning open‑source LLMs.
• Experience with AI security, governance, and compliance.
• Familiarity with NLP, transformers, and deep learning frameworks such as PyTorch or Tensor Flow.
• Experience deploying AI solutions in enterprise environments.

• Opportunity to work on cutting‑edge AI and generative AI projects.
• Exposure to enterprise‑scale AI implementations across UAE and GCC markets.
• Collaborative and innovation‑driven work environment.
• Competitive salary and benefits package.
• Career growth opportunities in emerging AI technologies.