{"id":3316052,"url":"https://alion.io/job/mavvrik-senior-applied-ai-engineer","title":"Senior Applied AI Engineer","company":{"id":1920880,"name":"Mavvrik","domain":"mavvrik.ai","url":"https://alion.io/company/mavvrik","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"US time zones","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"FinOps","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-26T23:21:44Z","employer_posted_date":null,"last_verified_at":"2026-10-26T23:21:44Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"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.\n\nThis 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.\n\nThe 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.\n\nPrimary Responsibilities\n\nDesign, build, and improve AI-powered capabilities that help customers understand, optimize, and control cloud, SaaS, and AI spend\nDevelop anomaly detection systems that identify unusual spending patterns, waste, and operational risks\nBuild forecasting models for consumption, budgets, cost trends, and capacity planning\nDesign recommendation and optimization engines that identify savings opportunities and rank actions based on expected business impact\nDevelop AI and ML models that improve recommendation relevance, prioritization, explainability, and customer trust\nAnalyze large-scale cost, usage, operational, and telemetry datasets to uncover trends and optimization opportunities\nDesign and implement feature engineering pipelines, experimentation frameworks, and analytical datasets\nFine-tune AI systems and agent behaviors to improve quality, consistency, explainability, and reliability\nBuild evaluation frameworks that measure model performance, recommendation quality, forecast accuracy, agent effectiveness, and business outcomes\nAnalyze and eliminate failure modes such as hallucinations, reasoning failures, excessive tool invocation, and agent loops\n\nSecondary Responsibilities\n\nContribute to the design and implementation of autonomous and semi-autonomous FinOps agents\nBuild integrations with MCP servers, APIs, enterprise systems, and optimization workflows\nParticipate in multi-agent system design where specialized agents collaborate to solve customer problems\nContribute to the evolution of Mavvrik's semantic layer, business entities, metadata models, and optimization concepts\nMentor engineers through code reviews, design reviews, experimentation practices, and technical guidance\nPromote best practices around AI reliability, observability, governance, testing, and production readiness\n\nQualifications\n\nRequired\n\nBachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related field\n6–12 years of hands-on experience in software engineering, machine learning, data science, or applied AI product development\nStrong programming skills in Python and software engineering fundamentals\nExperience building production-grade AI, ML, analytics, or optimization systems\nStrong experience with anomaly detection, forecasting, predictive analytics, recommendation systems, or optimization algorithms\nExperience designing and implementing data pipelines for analytical and AI workloads\nExperience with SQL and modern analytics platforms such as PostgreSQL, Snowflake, BigQuery, Databricks, or similar technologies\nExperience deploying AI Systems on AWS, Azure, or GCP\nStrong understanding of agent lifecycle management, memory, context management, tool orchestration, agent loops, and common agent failure modes\nStrong understanding of RAG, embeddings, vector search, hybrid search, and reranking\nDemonstrated experience using AI-assisted development tools as part of daily engineering workflows\nExperience evaluating AI-generated code, analysis, recommendations, and designs to identify risks, inaccuracies, and hidden assumptions\nAbility to independently drive initiatives from concept to production\n\nPreferred\n\nExperience building agentic AI systems, autonomous workflows, or AI copilots\nExperience 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\nExperience implementing AI observability, governance, evaluation, and reliability practices\nExperience contributing to semantic layers, business ontologies, metadata systems, knowledge graphs, or enterprise data models\nExperience in FinOps, cloud cost management, SaaS management, AI cost management, observability, or enterprise technology management\nExperience working in fast-paced startup environments\n\nWhat Success Looks Like\n\nShips high-impact forecasting, anomaly detection, optimization, and recommendation capabilities that deliver measurable customer value\nImproves recommendation quality, accuracy, explainability, and customer adoption over time\nBuilds robust evaluation frameworks and quality metrics that continuously improve AI system performance\nContributes to autonomous optimization agents that customers trust and rely on\nBalances strong engineering rigor with rapid experimentation and delivery velocity\n\nBenefits\n\nCompetitive salary, health insurance, and equity package\nRemote-first work environment\nFlexible working hours with overlap with US time zones\nSignificant opportunity to influence AI strategy and technical direction\nDirect impact on company growth and customer outcomes\nOpportunity to work on an AI-driven cloud, SaaS, and AI cost management platform\n\nAbout Mavvrik\n\nMavvrik 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.\n\nIf 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.\n\nLearn more at www.mavvrik.ai.\n\nPowered by JazzHR\n\nDtbDN1QcTY","description_format":"text","description_chars":6159,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Health insurance"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Cost & Multi-Cloud Management"],"lifecycle":[{"event":"open","at":"2026-10-27T05:09:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["seen:0","win:early"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/mavvrik-senior-applied-ai-engineer","json_url":"https://alion.io/job/mavvrik-senior-applied-ai-engineer.json","meta":{"generated_at":"2026-10-27T16:33:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"assistant_verified","counted_by":"address","units_charged":1,"used_today":580,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1920880},"rest":"https://alion.io/mcp/rest/get_company?id=1920880"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmavvrik-senior-applied-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmavvrik-senior-applied-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmavvrik-senior-applied-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mavvrik-senior-applied-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmavvrik-senior-applied-ai-engineer"}]}