Ai/ml engineer

# AI/ML Engineer – Generative AI, LLMs & AI Agents We’re looking for an experienced **AI/ML Engineer** to help us design, build, and deploy production-ready AI solutions. The ideal candidate has strong hands-on experience with **Generative AI, LLMs, RAG, AI Agents, NLP, Python, and machine learning**, along with solid software engineering skills. This is a hands-on engineering role where you’ll work on real AI products and help turn ideas and prototypes into reliable, scalable applications. ## What You’ll Work On * Design and develop **AI/ML and Generative AI applications** * Build **LLM-powered applications, AI agents, and intelligent automation workflows** * Develop and optimize **RAG (Retrieval-Augmented Generation)** pipelines * Work with LLM APIs and models such as OpenAI and other modern foundation models * Implement document processing, embeddings, vector search, semantic search, and knowledge bases * Develop AI agents capable of using tools, APIs, databases, and external services * Build and integrate AI functionality into existing web/mobile applications * Develop and improve machine learning/NLP pipelines when required * Evaluate model performance, accuracy, latency, and cost * Deploy AI solutions to cloud environments and production systems * Write clean, maintainable, well-tested Python code * Collaborate with product and engineering teams to define technical solutions ## Required Skills **Core:** * Python * Machine Learning * Deep Learning * NLP * Generative AI * Large Language Models (LLMs) * RAG * Prompt Engineering * AI Agents / Agentic AI * API development and integration * Git and software engineering best practices **AI/LLM Ecosystem:** * OpenAI APIs * LLM application development * Embeddings and vector databases * LangChain, LangGraph, LlamaIndex, or similar frameworks * Vector search and semantic search * Model evaluation and optimization **Backend & Cloud:** * FastAPI or similar Python frameworks * REST APIs * SQL/NoSQL databases * Docker * AWS, Azure, or GCP * Production deployment and monitoring ## Nice to Have * Experience fine-tuning or adapting LLMs * Experience with open-source models such as Llama, Mistral, or similar * Computer vision experience * Experience building multi-agent systems * AI workflow automation * Experience with PostgreSQL, Redis, or vector databases such as Pinecone, Weaviate, Qdrant, or pgvector * Kubernetes or other cloud-native technologies * Experience building AI SaaS products or MVPs ## What We’re Looking For We’re not looking for someone who has only experimented with ChatGPT or basic AI APIs. We need an engineer who understands **how to build production-grade AI systems** — from architecture and model selection to implementation, integration, deployment, monitoring, and optimization. You should be comfortable taking an ambiguous problem, proposing a practical technical approach, and independently delivering working solutions. ## To Apply Please include: 1. A brief introduction about your AI/ML experience. 2. 2–3 relevant projects involving **LLMs, RAG, AI Agents, or Generative AI**. 3. The technologies and frameworks you used. 4. Your experience deploying AI applications to production. 5. Links to GitHub, portfolio, or relevant work if available. 6. Your hourly rate and availability. **Bonus:** Start your proposal by describing how you would approach building a production-ready LLM/RAG or AI-agent system.