Remote Senior AI Engineer for FinOps & Cloud Cost Optimization

Mavvrik

United States

Remote

USD 180,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Remote-first
Health insurance
Equity package
Flexible hours

Job summary

Mavvrik is seeking a Senior Applied AI Engineer to help build the intelligence layer powering cloud, SaaS, and AI cost management. The role emphasizes production-grade AI, analytics, and optimization across forecasting, anomaly detection, and autonomous agents.

The candidate will work on AI-driven platforms, leverage agentic workflows, and contribute to FinOps capabilities. Remote-first environment with overlap across US time zones.

Qualifications

  • Bachelor’s or Master’s degree in CS, DS, AI, Eng, Math, Stats, or related field.
  • 6–12 years of hands-on software engineering, ML, DS, or applied AI.
  • Proficient in Python and software engineering fundamentals.
  • Experience building production-grade AI, ML, analytics, or optimization systems.
  • Experience with anomaly detection, forecasting, and recommender/optimization algorithms.
  • Experience designing data pipelines for analytical/AI workloads.
  • Experience with SQL and analytics platforms (PostgreSQL, Snowflake, BigQuery, Databricks).
  • Experience deploying AI systems on AWS, Azure, or GCP.
  • Knowledge of agent lifecycle, memory/context management, tool orchestration, agent loops, failure modes.
  • Understanding of RAG, embeddings, vector search, hybrid search, reranking.
  • Experience evaluating AI-generated code and recommendations.

Responsibilities

  • Design and build AI-powered capabilities for cloud, SaaS, and AI spend optimization.
  • Develop anomaly detection systems for spending patterns and risks.
  • Build forecasting models for consumption, budgets, and capacity planning.
  • Design and optimize engines to identify savings opportunities.
  • Develop AI/ML models to improve recommendation relevance and explainability.
  • Analyze large-scale cost and telemetry datasets to uncover trends.
  • Implement feature engineering pipelines and experimentation frameworks.
  • Fine-tune AI systems and agent behaviors for reliability.
  • Build evaluation frameworks for model performance and business outcomes.
  • Eliminate failure modes such as hallucinations and agent loops.

Skills

Python programming
Software engineering fundamentals
Anomaly detection
Forecasting
Analytics
Optimization systems
Experimentation practices
AI-assisted development
Independent initiative
Data pipelines

Education

Bachelor’s or Master’s degree in CS/DS/AI/Engineering/Math/Stats

Tools

PostgreSQL
Snowflake
BigQuery
Databricks
LangGraph
CrewAI
AutoGen
Semantic Kernel
OpenAI Agents SDK
Mistral Agents

Job description

Mavvrik is seeking a Senior Applied AI Engineer to help build the intelligence layer powering cloud, SaaS, and AI cost management. The role emphasizes production-grade AI, analytics, and optimization across forecasting, anomaly detection, and autonomous agents.

The candidate will work on AI-driven platforms, leverage agentic workflows, and contribute to FinOps capabilities. Remote-first environment with overlap across US time zones.

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