AI Developer

We are looking for an experienced AI Engineer to join an innovative product company building production-grade AI solutions used by enterprise customers. This is a hands-on engineering role focused on designing, developing, and deploying AI-powered products using Large Language Models (LLMs), agentic workflows, retrieval systems, and modern backend technologies. You will work closely with product, engineering, and business teams to transform complex business problems into reliable, scalable AI applications. Responsibilities Design, develop, and deploy AI-powered applications for production environments Build and optimize LLM-based features using modern AI frameworks Develop agentic workflows, tool-calling systems, and multi-step AI pipelines Design and improve RAG (Retrieval-Augmented Generation) architectures Build and optimize vector search solutions and knowledge retrieval systems Develop backend services and APIs to support AI applications Improve model quality, latency, scalability, and cost efficiency Design evaluation frameworks and monitoring for AI systems Work closely with product and engineering teams to deliver end-to-end AI solutions Stay up to date with the latest AI technologies and best practices Requirements 4+ years of software engineering experience 2+ years of hands-on experience building production AI/LLM applications Strong Python programming skills Experience with LLMs (OpenAI, Anthropic, Gemini, Llama, or similar) Experience with RAG architectures, embeddings, and vector databases Experience building AI agents or agentic workflows Strong backend development experience (FastAPI, Flask, Django, or similar) Experience with REST APIs, asynchronous programming, and cloud deployments Experience with Docker and modern CI/CD workflows Familiarity with AWS, Azure, or Google Cloud Strong problem-solving skills and product mindset Professional English (B2+) Nice to Have LangChain, LangGraph, LlamaIndex, DSPy, AutoGen, CrewAI, or similar frameworks Knowledge graphs and Neo4j Computer Vision, OCR, Speech AI, or Multimodal AI Fine-tuning and model optimization Kubernetes and MLOps Evaluation frameworks (LangSmith, Braintrust, Langfuse, Promptfoo, Ragas) Experience with AI observability and monitoring Experience with distributed systems and microservices Startup or high-growth product company experience Technology Stack Python FastAPI / Flask / Django LLMs (OpenAI, Claude, Gemini, Llama) LangChain / LangGraph / LlamaIndex RAG Vector Databases (Pinecone, Qdrant, Weaviate, pgvector, Milvus) PostgreSQL / MongoDB / Redis Docker / Kubernetes AWS / Azure / GCP Git / CI/CD REST APIs / GraphQL What We're Looking For Strong ownership mindset with the ability to solve complex problems independently Passion for building production-ready AI systems rather than prototypes Excellent communication and collaboration skills Curiosity about emerging AI technologies and continuous learning Ability to work in fast-paced, product-driven environments