senior ai engineer (rag, agents & vision)

توضیحات آگهی

Role Overview You will architect implement and iterate on reliable fast and cost aware RAG pipelines and agentic workflows across text and vision You ll own the full stack document image processing and embeddings retrieval and re ranking function tool calling and planning loops safety guardrails and online offline evaluation What You ll Do Design implement and productionize multimodal RAG systems text vision that ground LLM VLM outputs in enterprise knowledge Build agentic workflows that can perceive images PDFs screenshots reason and act function tool calling JSON schema actions planning reflect loops and short long term memory Stand up and operate vector search infrastructure for text and image embeddings e g Postgres pgvector Elasticsearch OpenSearch Pinecone Qdrant FAISS with hybrid retrieval and re rankers Create robust ingestion for large and messy corpora PDFs scanned born digital images HTML logs tables apply OCR layout analysis chunking and metadata enrichment Implement online offline evals for multimodal tasks groundedness faithfulness retrieval precision recall VQA accuracy OCR WER table diagram extraction quality latency cost and wire them into CI Add guardrails and safety filters policy checks prompt hardening schema output validation image moderation PII redaction and defense against prompt injection data exfiltration Optimize throughput and reliability batching caching request result embedding retries timeouts fallbacks concurrency control and GPU utilization Run rapid experiments A B and canaries to iterate on retrieval prompts re rankers tools routing and multimodal prompting strategies Instrument systems for observability telemetry tracing cost latency dashboards and maintain SLOs Collaborate closely with product design engineering to ship user visible impact Minimum Qualifications 2 years building applied ML LLM systems production Strong Python TypeScript familiarity is a plus Shipped features using embeddings retrieval and re ranking comfortable with structured outputs and function tool calling Hands on experience with vision language models VLMs and vision pipelines e g OpenAI Vision GPT 4o class Gemini Vision class Claude with vision LLaVA BLIP CLIP LayoutLMv3 Donut Practical understanding of multimodal RAG design trade offs latency recall cost context limits and evaluation beyond vibes Proficiency with one or more vector search stacks Postgres pgvector Elasticsearch OpenSearch Pinecone Qdrant FAISS Familiarity with orchestration tooling LangChain LangGraph LlamaIndex and building chains agents for text vision Experience with OCR document understanding e g Tesseract PaddleOCR layout parser DocAI style tooling and PDF image preprocessing Solid engineering practices Git CI testing code review observability secure deployment Docker Kubernetes familiarity helpful Clear pragmatic communication in English ability to work with non ML stakeholders Nice to Have Experience with graph based agent platforms tool discovery and multi step planning for multimodal tasks Knowledge of re rankers e g E5 ColBERT hybrid search and large scale search systems Practical GPU inference for VLMs quantization LoRA adapter fine tuning distillation and performance tuning Exposure to LLM VLM security reviews prompt injection defenses data exfiltration prevention watermark safety checks Background in data quality pipelines synthetic data for vision tasks and feedback label loops Experience with video understanding or streaming frame pipelines bonus Core Tech Stack indicative Languages Python LLM VLM OpenAI class Vision models Gemini class multimodal Claude with vision Hugging Face Transformers vLLM or similar Orchestration LangChain LangGraph LlamaIndex Vector Search Postgres pgvector Elasticsearch OpenSearch Pinecone Qdrant FAISS Ingestion Vision Unstructured PyMuPDF OCR Tesseract PaddleOCR layout parser Detectron2 SAM as applicable Evals Observability custom eval harnesses text vision A B testing tracing telemetry dashboards MLOps Git CI Docker K8s or equivalent experiment tracking tools تهران تهران آرژانتین تمام وقت مدیریت سرمایه لیان کارشناس ارشد جنسیت تفاوتی ندارد سرمایه گذاری و مالی