ChatGPT Jobs · 9 hours ago
Senior AI Engineer
United States
Full-time
Remote
Senior Level
5+ years expChatGPT Jobs is seeking a Senior AI Engineer to join Dr.Evidence, an AI-powered insights platform for life sciences. The role involves researching and prototyping ML/NLP architectures, developing scalable training pipelines, and collaborating cross-functionally to enhance AI capabilities.
Computer Software
Responsibilities
Research & Prototyping
Rapidly prototype state-of-the-art ML/NLP/LLM architectures using frameworks like Python, PyTorch, Hugging Face, and LangChain/LangGraph
Assess open-source and commercial models (e.g., Llama 3, Mistral, GPT-series, Qwen, and other modern LLM architectures) for accuracy, latency, cost, hallucination risk, and compliance
Run structured model evaluations (accuracy, relevance, precision/recall, hallucination checks)
Model Development & Training
Build scalable training pipelines for supervised and self-supervised learning paradigms
Implement efficient techniques such as LoRA/QLoRA, instruction tuning, and quantization when needed
Develop agentic workflows (tool-calling, iterative reasoning, ranking, and multi-step pipelines) for real-world use cases
Improve and maintain existing ML pipelines
Optimize inference performance with batching, quantization, and efficient serving frameworks
Retrieval-Augmented Generation (RAG) & Search
Design and optimize RAG systems that integrate with internal data sources
Build hybrid retrieval using Elasticsearch/BM25 + vector search (PGVector or other vector DBs)
Tune chunking, embeddings, reranking, and hallucination-prevention strategies for long documents
Data Engineering for AI
Prepare and refine text datasets for training, evaluation, and fine-tuning
Generate synthetic training data using LLMs to improve extraction accuracy, classification, and reasoning
Build small, targeted datasets for fine-tuning domain-specific models
LLM Specialization
Fine-tune and align open-source LLMs for domain-specific tasks (RAG, agents, tool-calling, reasoning)
Implement safety layers: prompt guards, output filters, adversarial robustness testing
Productionization & MLOps
Containerize models with Docker; orchestrate with Docker Swarm
Build monitoring for model quality, latency, hallucinations, and regressions
Collaborate with DevOps and Architecture teams on cost, performance, and scalability decisions
Implement observability around prompts, retrieval, and model outputs
Cross-Functional Impact
Collaborate with Product to define AI roadmaps and success metrics
Partner with Product and Engineering to design new AI capabilities across modules
Qualification
Required
Education: MS/PhD in CS, ML, Data Science, or related field; or BS + 5+ years of intensive AI industry experience
Core Technical Skills: Languages: Python (expert); familiarity with modern web stacks (e.g., PERN) is a plus
Experience with PyTorch, Hugging Face Transformers, and common LLM tooling (PEFT, LoRA, QLoRA)
Strong understanding of NLP: tokenization, embeddings, chunking, NER, classification, summarization
Experience with RAG pipelines, vector databases, retrieval/ranking strategies
Experience designing and running model evaluation pipelines
Comfortable with Docker-based deployments and cloud environments
Knowledge of Elasticsearch
Proven Track Record: Shipped at least 3 production LLM-powered features (e.g., chatbots, summarizers, agents)
Experience working with modern large-scale models
Experience designing clean, maintainable architectures for LLM features
Strong documentation and communication skills
Company
ChatGPT Jobs
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase