Cloutflow is building the AI-first operating system for influencer marketing—helping enterprise brands discover the right creators, run campaigns across agencies, review content, measure performance, and make better decisions at scale. We work with large brands across FMCG, beauty, consumer tech and D2C. Our product already powers real enterprise workflows; now we are building the intelligence layer that makes it genuinely smarter.

We are looking for an exceptional Applied AI Engineer who can take an ambiguous business problem, experiment with AI approaches, evaluate what actually works, and turn it into a reliable production capability. This is not a “train a foundation model from scratch” role. It is a high-ownership product-and-AI role at the intersection of models, data, evaluation, workflows, and customer value.

What you’ll own Build AI capabilities across creator intelligence, brand-fit analysis, creator recommendations, content/script review, campaign insights, briefs, reporting and workflow automation.

Translate complex user needs into structured AI problems—for example, understanding what a brand truly means by “find the right creators.”

Design and run experiments using LLMs, multimodal models, embeddings, ranking methods, rules and predictive models.

Create robust evaluation frameworks: test datasets, quality rubrics, benchmark runs, human feedback loops, error analysis and monitoring.

Build production-grade AI pipelines that are accurate, fast, explainable and cost-efficient.

Work closely with product, design, data and engineering to ship features—not just demos.

Use our creator, campaign and performance data to create proprietary intelligence over time.

Identify failure modes: hallucinations,



weak recommendations, unsafe outputs, data gaps, inconsistent scoring and customer trust issues.

Help define our technical architecture for AI features, including retrieval, orchestration, structured outputs, observability and model/vendor selection. What success looks like An enterprise user can trust and act on Cloutflow’s AI recommendations.

AI features have explicit quality benchmarks before launch—not just “it looks good in a demo.”

Recommendation, matching and review workflows measurably save time or improve campaign decisions.

The team can rapidly test a new AI idea and know within days or weeks whether it deserves to be built further.

AI capabilities become a genuine product moat, powered by proprietary workflows, feedback and data. What we’re looking for Strong engineering ability in Python and/or TypeScript, with experience building and deploying real production systems.

Hands-on experience with LLM applications: prompting, structured outputs, tool calling, RAG, embeddings, agents/workflows, multimodal models and model evaluation.

Strong analytical and product judgment.

You should enjoy asking: “What is the actual decision we are improving, and how will we know the output is good?”

Experience with ranking, recommendations, classification, prediction, search,



data pipelines or experimentation is a major advantage.

Comfort working with imperfect real-world data and turning it into useful product intelligence.

Ability to independently research a problem, form hypotheses, prototype alternatives, document trade-offs and recommend a path forward.

Strong communication: you can explain technical decisions simply to product, leadership and enterprise stakeholders.

High ownership, speed and taste. You care about what customers experience, not just whether code runs. Nice to have Experience in B2B SaaS, marketing technology, creator economy, media, ad-tech, marketplace or workflow software.

Experience with OpenAI, Anthropic, Google, open-source models and model-routing strategies.

Experience building evaluation systems, human-in-the-loop review tools, data labelling workflows or ML observability.

Familiarity with vector databases, data warehouses, queues, APIs and scalable backend systems.

Experience using AI coding tools such as Cursor, Claude Code or Codex to ship faster. Why this role is different You will work directly on difficult, commercially meaningful AI problems used by major brands—not generic chatbot features.

You will have the freedom to explore, prototype and make technical calls, while working with a founder who deeply understands the market, customers and product vision.

The expectation is high: you will help build a product team that can think beyond founder-led execution.

If you want to build practical AI that changes how enterprise brands make influencer-marketing decisions, we’d love to speak.

This Job

Post is written by AI, though and vetted by human.

📌 Applied AI Engineer (Gurugram)
🏢 CloutFlow
📍 Gurugram