Gruve
software services
SeniorAIDeveloper
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Developer at Gruve. Skills: AI Development, LLM, MLOps, Python. Implement guardrails, evaluation harnesses, and human-in-the-loop review. Apply prompt engineering, fine-tuning, and structured output”
What You'll Achieve.
transforming enterprises to AI powerhouses; assist our customers in their business strategies utilizing their data to make more intelligent decisions; ensure data quality, lineage, and reproducibility; quality, latency, and cost can be observed and managed over time
Industry & Context.
Scope problems; choose the right level of AI sophistication for the job
fully remote, globally distributed team
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Mathematics, Statistics, or a related field — or equivalent practical experience, 7+ years of professional software engineering experience, with at least 4 years building and shipping ML or AI systems in production, 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 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), written and verbal able to explain modeling decisions and trade-offs to non-technical stakeholders, Proven ability to thrive in a fully remote, globally distributed team
Nice to Have
experience in Machine Learning, Deep Learning, and Generative AI solutions, Hands-on expertise in LLMs, RAG architecture, and Agentic AI workflows, Proficiency with Azure AI services, Azure OpenAI, and cloud-native AI deployment, Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and Terraform, knowledge of Prompt Engineering, Fine-tuning, and AI model evaluation, Expertise in vector databases, embeddings, and semantic search technologies, Proficiency in Python, Git, and AI-assisted development tools such as Cursor/Claude Code
What You'll Do.
and human-in-the-loop review
Apply prompt engineering
and structured output
Measure quality with offline evals and online metrics
Build and maintain robust data and feature pipelines
Productionize models with sound MLOps practices
Use AI coding assistants effectively
Manage source code in Git
Build and maintain CI/CD pipelines
Deploy and operate services on Azure
Instrument AI systems with logging
and evaluation pipelines
Partner with security and compliance
Work directly with product
and business stakeholders
set realistic expectations
and choose AI sophistication
Mentor engineers on AI-assisted development practices
Conduct rigorous design and code reviews
Advocate for evaluation
How You'll Work.
Team & Collaboration
Work directly with product, scientific, and business stakeholders; Partner with security and compliance; Mentor engineers on AI-assisted development practices
Communication Scope
able to explain modeling decisions and trade-offs to non-technical stakeholders
Full Job Description
About Gruve Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. Position Summary We are hiring a Senior Developer for AI Development 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
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