Senior AI/ML Engineer (Python / LLM / Claude)

Senior AI/ML Engineer (Python / LLM / Claude)
Project Details
Project: B2B SaaS / AI & Machine Learning
Workload: To be confirmed
Location: To be confirmed
Duration: To be confirmed
Rate: To be discussed (B2B)
English: B2+
Start: To be confirmed

We are looking for an experienced Senior AI/ML Engineer to join the engineering team of a B2B SaaS company and develop intelligent, AI-powered features for an established product.
You will work with traditional machine learning, data science, and modern LLM technologies, particularly Anthropic Claude, taking solutions from experimentation to production.

About the Project
Our client develops a B2B SaaS platform for analyst relations and influencer management.
The platform helps technology companies manage industry analyst relationships, monitor market perceptions, analyze competitive intelligence, and measure influence on purchasing decisions.
The existing technology stack includes Angular, C#/.NET, SQL Server, and MongoDB.
You will collaborate closely with backend, frontend, and product teams to integrate AI capabilities into the platform.
Responsibilities
Design, train, evaluate, and deploy ML models for classification, clustering, recommendations, NLP, and forecasting.
Develop AI-powered features using LLM APIs, particularly Anthropic Claude.
Implement prompt engineering, tool calling, structured outputs, and RAG pipelines.
Build Python-based services and REST APIs using FastAPI or Flask.
Extract, process, and transform data from SQL Server and MongoDB.
Perform feature engineering, model evaluation, and experimentation.
Create evaluation datasets and automated tests for LLM accuracy, quality, and safety.
Optimize inference latency and costs through caching, batching, and model selection.
Monitor production models for performance, accuracy, drift, and operational costs.
Integrate AI services with the existing .NET backend and Angular frontend.
Participate in code reviews, CI/CD workflows, and Agile development processes.
Take ownership of AI features from initial prototyping through production deployment.
Requirements
5+ years of professional experience in Machine Learning, Data Science, or AI Engineering.
Strong Python programming skills, including pandas, NumPy, and scikit-learn.
Hands-on experience with PyTorch or TensorFlow.
Strong understanding of supervised and unsupervised learning, feature engineering, and model evaluation.
Practical experience with LLM APIs, preferably Anthropic Claude.
Experience with prompt engineering, tool calling, RAG, and LLM evaluation.
Strong experience developing REST APIs using FastAPI, Flask, or similar frameworks.
Working knowledge of SQL and NoSQL databases, preferably SQL Server and MongoDB.
Experience delivering production-ready ML/AI solutions.
Familiarity with Git, code reviews, and Agile/Scrum practices.
Strong problem-solving skills and the ability to select appropriate AI/ML approaches based on business requirements.
Bachelor's degree in a relevant field or equivalent practical experience.
English: Upper-Intermediate (B2+) or higher.
Nice to Have
Experience with vector databases such as MongoDB Atlas Vector Search, pgvector, or Pinecone.
Familiarity with AI agents, MCP, or Claude Agent SDK.
Experience using Claude Code or similar AI-assisted development tools.
Basic knowledge of C#/.NET and Angular/TypeScript.
MLOps experience with Docker, CI/CD, MLflow, Azure, or AWS.
Experience developing multi-tenant B2B SaaS products.
NLP experience with unstructured business data, documents, emails, or research content.
Understanding of data privacy and security in AI applications.

If you have strong ML engineering expertise and hands-on experience building production LLM applications, we'd be happy to hear from you!