Senior ML Engineer (Applied AI)
Core
Design, optimize, and deploy production-grade LLM applications, custom predictive analytics, and agentic workflows for clients in diverse industries.
Role type
Senior IC machine-learning engineer (applied AI/LLM)
Builds
Custom AI systems, LLM applications, and predictive analytics for client software ecosystems
Domain
Applied AI, Natural Language Processing, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
LLM architecture & context window mechanics, agentic system design, vector database management, traditional ML (classification/regression), Python, SQL, AWS cloud deployment, evaluation framework design
Preferred skills
Experience with Langchain/LangGraph/LlamaIndex, prompt engineering, data privacy strategies, rapid prototyping in new verticals
Technologies
Transformer models, Anthropic Claude, OpenAI, AWS Bedrock, Langchain, LangGraph, LlamaIndex, Pinecone, pgvector, Milvus, Qdrant, AWS Lambda, SageMaker, EC2
Responsibilities
Architect and build classical ML and generative AI solutions, design evaluation frameworks for AI quality and safety, integrate AI capabilities into client applications via serverless/API, optimize prompts and chunking strategies, train custom algorithms for business problems, translate business requirements into technical scopes
Seniority
Senior, hands-on IC