AI Vibe Coding & Engineering

Responsibilities

• Design, train, evaluate, and ship machine learning and deep learning models (classification, regression, ranking, vision, NLP, time series) against well-defined business and scientific problems
• Design and implement LLM-powered applications using major model providers (Claude/Anthropic, Azure OpenAI, OpenAI, or equivalents)
• Build retrieval-augmented generation (RAG) systems, including chunking strategies, embeddings, vector store selection (e.g., Azure AI Search, pgvector), and re-ranking
• Develop agentic workflows with tool use and orchestration; implement guardrails, evaluation harnesses, and human-in-the-loop review where appropriate
• Apply prompt engineering, fine-tuning, and structured output techniques; measure quality with offline evals and online metrics
• Build and maintain robust data and feature pipelines on Azure; ensure data quality, lineage, and reproducibility
• Productionize models with sound MLOps practices: versioning, automated retraining, drift detection, and rollback strategies
• Use AI coding assistants (Claude Code, Cursor) effectively alongside traditional manual coding — choosing the right approach for each task and reviewing AI-generated code with rigor
• Manage source code in Git using a clean branching strategy and pull-request-based review
• Build and maintain CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for automated testing, packaging, and deployment of AI services
• Deploy and operate services on Azure using containers (Docker), orchestration (Kubernetes/AKS), and infrastructure-as-code (Terraform or Bicep)
• Instrument AI systems with logging, tracing, and evaluation pipelines so that quality, latency, and cost can be observed and managed over time
• Partner with security and compliance to address data privacy, PHI/PII handling, prompt injection, and model risk in regulated contexts
• Work directly with product, scientific, and business stakeholders to scope problems, set realistic expectations, and choose the right level of AI sophistication for the job
• Mentor engineers on AI-assisted development practices and on the patterns and pitfalls of LLM-based systems
• Conduct rigorous design and code reviews; advocate for evaluation, safety, and observability as first-class concerns

Benefits

• Fully remote work arrangement
• Enterprise staffing and contingent workforce solutions.
• Princeton, New Jersey, USA
• http://www.diverselynx.com
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Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Mathematics, Statistics, or a related field — or equivalent practical experience
• 4 + years of professional software engineering experience, with at least 2 years building and shipping ML or AI systems in production
• Strong proficiency in Python and core ML libraries (PyTorch and/or TensorFlow, scikit-learn, pandas, NumPy)
• Hands-on experience deploying LLM-based applications using major model providers (Anthropic Claude, Azure OpenAI, OpenAI, or open-source models)
• Practical RAG and embeddings experience, including at least one production vector store
• Demonstrated proficiency with AI coding tools such as Claude Code and Cursor, balanced with strong manual coding fundamentals
• Solid command of Git, branching strategies, and pull-request-based code review
• Hands-on experience building and operating CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production workloads
• Hands-on experience deploying services on Azure (AKS, App Service, Functions, Azure AI/ML services, or similar) and with containerization (Docker)
• Strong written and verbal communication; able to explain modeling decisions and trade-offs to non-technical stakeholders
• 4 + years of professional software engineering experience, with at least 2 years building and shipping ML or AI systems in production.

Required skills

• Azure, Azure DevOps, Claude Code, Cursor, Docker, Git, GitHub Actions, LLM Application Development, NumPy, Pandas, PyTorch, Python, Retrieval-Augmented Generation (RAG), Scikit-learn, TensorFlow

Experience

• 4-6 years