mid level ai engineer (python llm rag ai agents)

توضیحات آگهی

We are looking for a skilled Mid Level AI Engineer to design develop and integrate intelligent scalable production ready AI solutions Experience 3 years Core Stack Python FastAPI LLMs RAG SQL Vector Databases Additional Skills AI Agents API Integration Docker AI Evaluation Nice to Have Geospatial AI GIS Computer Vision MLOps About the Role Our projects involve data driven applications interactive dashboards intelligent automation complex data processing and geospatial visualization including 2D 3D mapping systems We value engineers who can turn AI capabilities into reliable product features not just write prompts or integrate basic LLM APIs The ideal candidate has strong Python skills practical LLM experience solid software engineering fundamentals and a problem solving mindset Key Responsibilities Design develop and maintain AI powered applications and services Integrate commercial and open source LLMs into existing systems Build RAG pipelines for document processing knowledge retrieval and semantic search Develop AI Agents tool calling workflows and intelligent automation Build scalable AI APIs using Python and FastAPI Process structured and unstructured data from documents databases and external services Implement structured outputs validation error handling and fallback mechanisms Optimize AI accuracy reliability latency and operational costs Implement monitoring logging caching and security best practices Collaborate with backend frontend and DevOps teams to deliver production ready AI features Required Technical Skills Python Backend Engineering 3 years of relevant experience in software development or AI engineering Strong proficiency in Python FastAPI and RESTful APIs Understanding of OOP clean code modular architecture and asynchronous programming Experience with PostgreSQL or similar databases Familiarity with Git testing debugging and API integration LLMs Generative AI Practical experience integrating LLMs such as OpenAI Claude Gemini or open source models Strong understanding of prompt engineering context management structured outputs and function tool calling Knowledge of tokens context windows hallucinations grounding and model limitations Ability to select and optimize models based on quality latency and cost RAG Vector Search Hands on experience designing RAG architectures and retrieval pipelines Knowledge of embeddings semantic search and vector databases pgvector Qdrant Pinecone or Chroma Experience with document ingestion chunking indexing metadata filtering and retrieval optimization Ability to evaluate and improve retrieval accuracy and response quality AI Agents Automation Experience building AI Agents and multi step LLM workflows Familiarity with LangChain LangGraph LlamaIndex or similar frameworks Understanding of tool execution agent state context management and workflow reliability Awareness of prompt injection data privacy and AI security risks Deployment Reliability Experience with Docker Linux and API deployment Familiarity with CI CD logging monitoring and environment configuration Understanding of AI evaluation automated testing observability and performance optimization Ability to troubleshoot and maintain AI services in production Nice to Have Geospatial AI GIS GeoJSON PostGIS GeoPandas or spatial data processing Experience with satellite imagery computer vision or multimodal AI Familiarity with PyTorch Hugging Face fine tuning LoRA or PEFT Experience with Ollama vLLM or self hosted open source models Knowledge of Redis message queues and background processing Familiarity with AWS Azure GCP Kubernetes or MLOps Experience integrating AI services with NET backends or React Next js applications Soft Skills Expectations Strong analytical thinking and problem solving abilities Ability to independently design and deliver AI features Product oriented mindset and ownership of technical solutions Clear communication and effective collaboration Commitment to clean secure maintainable and scalable code Curiosity and willingness to learn emerging AI technologies Ability to evaluate technical trade offs and deliver practical solutions How to Apply If you enjoy building real world AI applications and solving challenging engineering problems we d love to hear from you Please share your CV LinkedIn GitHub or examples of relevant AI projects especially those involving RAG AI Agents automation or production AI integrations تهران تهران ونک تمام وقت Blue Nova کارشناس جنسیت تفاوتی ندارد فناوری اطلاعات نرم افزار و سخت افزار