Senior Applied AI Engineer - India / Remote
Mavvrik
- Location
- Remote (India)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 days ago
About the Role
Mavvrik is a VC-backed startup revolutionizing hybrid cloud, SaaS, and AI cost management. This role builds the intelligence layer for cost optimization, including forecasting, anomaly detection, and autonomous agents.
Skills
Python
Machine learning
Applied AI
Anomaly detection
Forecasting
Recommendation systems
Optimization models
Agentic workflows
Cloud cost management
Data analytics
SQL
AWS
Azure
GCP
RAG
Vector search
Benefits
- Health insurance
- Equity package
Perks
- Remote work
- Flexible hours
Full job details
Mavvrik is looking for a Senior Applied AI Engineer with 6–12 years of experience who combines strong software engineering capabilities with expertise in applied AI, machine learning, analytics, and optimization systems.
This is a senior individual contributor role focused on building the intelligence layer that powers cloud, SaaS, and AI cost optimization capabilities, including forecasting, anomaly detection, recommendation systems, optimization models, and autonomous agents.
The ideal candidate combines strong software engineering skills with deep experience in applied AI, machine learning, data analytics, and optimization systems. You actively leverage AI-assisted development platforms and agentic workflows to improve velocity while applying strong technical judgment.
If you are passionate about building intelligent optimization systems and believe AI can fundamentally improve how organizations manage technology investments, this is your opportunity to help shape the future of cloud FinOps at Mavvrik.
Learn more at www.mavvrik.ai.
This is a senior individual contributor role focused on building the intelligence layer that powers cloud, SaaS, and AI cost optimization capabilities, including forecasting, anomaly detection, recommendation systems, optimization models, and autonomous agents.
The ideal candidate combines strong software engineering skills with deep experience in applied AI, machine learning, data analytics, and optimization systems. You actively leverage AI-assisted development platforms and agentic workflows to improve velocity while applying strong technical judgment.
Primary Responsibilities
- Design, build, and improve AI-powered capabilities that help customers understand, optimize, and control cloud, SaaS, and AI spend.
- Develop anomaly detection systems that identify unusual spending patterns, waste, and operational risks.
- Build forecasting models for consumption, budgets, cost trends, and capacity planning.
- Design recommendation and optimization engines that identify savings opportunities and rank actions based on expected business impact.
- Develop AI and ML models that improve recommendation relevance, prioritization, explainability, and customer trust.
- Analyze large-scale cost, usage, operational, and telemetry datasets to uncover trends and optimization opportunities.
- Design and implement feature engineering pipelines, experimentation frameworks, and analytical datasets.
- Fine-tune AI systems and agent behaviors to improve quality, consistency, explainability, and reliability.
- Build evaluation frameworks that measure model performance, recommendation quality, forecast accuracy, agent effectiveness, and business outcomes.
- Analyze and eliminate failure modes such as hallucinations, reasoning failures, excessive tool invocation, and agent loops.
Secondary Responsibilities
- Contribute to the design and implementation of autonomous and semi-autonomous FinOps agents.
- Build integrations with MCP servers, APIs, enterprise systems, and optimization workflows.
- Participate in multi-agent system design where specialized agents collaborate to solve customer problems.
- Contribute to the evolution of Mavvrik’s semantic layer, business entities, metadata models, and optimization concepts.
- Mentor engineers through code reviews, design reviews, experimentation practices, and technical guidance.
- Promote best practices around AI reliability, observability, governance, testing, and production readiness.
Qualifications
Required
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related field.
- 6–12 years of hands-on experience in software engineering, machine learning, data science, or applied AI product development.
- Strong programming skills in Python and software engineering fundamentals.
- Experience building production-grade AI, ML, analytics, or optimization systems.
- Strong experience with anomaly detection, forecasting, predictive analytics, recommendation systems, or optimization algorithms.
- Experience designing and implementing data pipelines for analytical and AI workloads.
- Experience with SQL and modern analytics platforms such as PostgreSQL, Snowflake, BigQuery, Databricks, or similar technologies.
- Experience deploying AI Systems on AWS, Azure, or GCP.
- Strong understanding of agent lifecycle management, memory, context management, tool orchestration, agent loops, and common agent failure modes.
- Strong understanding of RAG, embeddings, vector search, hybrid search, and reranking.
- Demonstrated experience using AI-assisted development tools as part of daily engineering workflows.
- Experience evaluating AI-generated code, analysis, recommendations, and designs to identify risks, inaccuracies, and hidden assumptions.
- Ability to independently drive initiatives from concept to production.
Preferred
- Experience building agentic AI systems, autonomous workflows, or AI copilots.
- Experience with MCP servers, tool orchestration, and at least one modern agentic AI framework such as LangGraph, CrewAI, AutoGen, Semantic Kernel, Mistral Agents, OpenAI Agents SDK, or similar orchestration frameworks.
- Experience implementing AI observability, governance, evaluation, and reliability practices.
- Experience contributing to semantic layers, business ontologies, metadata systems, knowledge graphs, or enterprise data models.
- Experience in FinOps, cloud cost management, SaaS management, AI cost management, observability, or enterprise technology management.
- Experience working in fast-paced startup environments.
What Success Looks Like
- Ships high-impact forecasting, anomaly detection, optimization, and recommendation capabilities that deliver measurable customer value.
- Improves recommendation quality, accuracy, explainability, and customer adoption over time.
- Builds robust evaluation frameworks and quality metrics that continuously improve AI system performance.
- Contributes to autonomous optimization agents that customers trust and rely on.
- Balances strong engineering rigor with rapid experimentation and delivery velocity.
Benefits
- Competitive salary, health insurance, and equity package
- Remote-first work environment
- Flexible working hours with overlap with US time zones
- Significant opportunity to influence AI strategy and technical direction
- Direct impact on company growth and customer outcomes
- Opportunity to work on an AI-driven cloud, SaaS, and AI cost management platform
About Mavvrik
Mavvrik is a VC-backed, AI-driven startup revolutionizing hybrid cloud cost, SaaS cost, and AI cost management. Our platform empowers businesses to gain visibility, control, and optimization of their technology spend with real-time precision.If you are passionate about building intelligent optimization systems and believe AI can fundamentally improve how organizations manage technology investments, this is your opportunity to help shape the future of cloud FinOps at Mavvrik.
Learn more at www.mavvrik.ai.