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Poppulo

Senior Full-Stack Machine Learning Engineer – GenAI, Agentic Systems

Poppulo

Senior Full-Stack Machine Learning Engineer at Poppulo focusing on innovative AI-driven solutions and redefining employee communications, partnering across teams.

Posted 4/28/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
  • Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
  • Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps
  • Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences.
  • Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy.
  • Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
  • Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem.
  • Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures.

Requirements

What you’ll need
  • Master’s or PhD in AI/ML or a related field
  • At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Benefits

Comp & perks
  • An excellent workplace culture
  • Competitive salary
  • Company performance-related bonus
  • Medical insurance
  • Flexible working hours
  • Educational assistance
  • In-house soft skills training

ATS Keywords

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Hard Skills & Tools
AI features deliveryAI/ML product developmentMLOpsdata engineeringmodel developmentcloud-based deploymentfull-stack AI/ML solutionsmodel optimisationinference performance tuningagent-based systems
Soft Skills
problem-solvingcollaborationcommunicationresearchinnovationstrategic alignmentvalidationadaptabilitycreativitycross-functional teamwork
Certifications
Master’s in AI/MLPhD in AI/ML