Senior AI Engineer

Job not on LinkedIn

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🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kayzen

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

☁️ SaaS

💰 $4M Seed Round on 2020-01

Marketing • Advertising • SaaS

Kayzen is a leading mobile programmatic advertising company, specializing in providing in-house mobile bidding technology. Built from the ground up, Kayzen empowers advertisers, app developers, agencies, and media buyers to run programmatic campaigns with full transparency and control over data. With solutions tailored for SKAdNetwork, user acquisition, and retargeting, Kayzen offers advanced optimization strategies and insights. Its platform is known for superior data sharing, privacy, and performance, democratizing mobile programmatic marketing by removing the reliance on traditional "black box" service platforms. Kayzen's SaaS solution allows businesses to customize and control their media buying processes, aiming for higher return on ad spend (ROAS).

📋 Description

• Architect, develop, and deploy production-grade LLM capabilities within the Kayzen Console • Build backend services, APIs, and integrations connecting AI capabilities with the product • Contribute to product-facing and full-stack functionality where needed • Implement production patterns for LLMs, RAG, embeddings, agents, and tool calling • Build reusable components and abstractions to improve engineering velocity and consistency • Set up and improve evaluation, observability, monitoring, and feedback loops for AI features • Monitor and optimize quality, latency, reliability, and inference cost • Troubleshoot production issues and iterate based on telemetry and user feedback • Work with Product, ML and Engineering to translate product problems into pragmatic AI solutions • Prototype quickly, validate ideas, and turn successful experiments into maintainable production systems • Work closely with Console Engineering, Product and ML teams in a full-stack product environment

🎯 Requirements

• Hands-on experience building and shipping LLM-powered features to production • Practical experience with RAG, embeddings, vector search and/or agentic systems • Experience with LLM APIs and orchestration patterns • Good understanding of production LLM concerns including evaluation, observability, failure modes, cost and latency • Experience iterating on AI features based on telemetry, evaluation results or user feedback • Strong experience designing APIs, services and production-grade systems • Ability to write clean, maintainable code and take ownership from implementation through production • Experience contributing across a product stack and willingness to work on backend systems and user-facing product functionality • Comfort working with AWS cloud infrastructure, CI/CD and production environments • Full-stack product development using Angular, JavaScript/TypeScript, Python and/or NodeJS is a strong plus • Bias for shipping, iteration and pragmatic problem solving • Comfortable with ambiguity and rapid change • Able to collaborate closely with Product, ML and Engineering stakeholders • Ability to discuss trade-offs, challenge requirements constructively and translate AI complexity into practical product solutions • Experience with multi-agent systems, tool calling or MCP is nice to have • Experience setting up guardrails, moderation and safety checks is nice to have • Experience with prompt/context management, routing, caching or fallback strategies is nice to have • Experience with Docker and cloud infrastructure (AWS, GCP or Azure) is nice to have • Experience with modern frontend development and customer-facing web applications is nice to have

🏖️ Benefits

• Direct access to top management and an extremely “visible” role • Exceptional career growth and learning opportunity • Opportunity to be part of an experienced team of industry experts and entrepreneurs driving change in the Adtech market • Fun, driven, and multinational team • Flexible work-from-home arrangement • 500-dollar home-office setup budget • 1000-dollar annual learning and development budget • Visa and relocation support (if required)