Compensation: ₹20L – ₹30L • No equity
Role Overview
We are looking for an experienced AI Engineer - Full Stack Developer to join the Marseer platform team. This is a dual-track role: you will build and maintain AI agent pipelines, LLM integrations, and RAG-based intelligence systems on the backend, while also owning the frontend interfaces that surface insights, recommendations, and campaign outputs to marketing teams and brand operators.
You should be equally comfortable designing multi-step agentic workflows in Python and building clean, responsive UI in React/Next.js. You understand how LLMs behave in production, know how to engineer prompts and tool chains for reliability, and care deeply about the end-to-end user experience.
What You'll Do
AI Engineering & Agent Development
- Design and implement multi-step AI agent workflows using LLM orchestration frameworks such as LangChain, LangGraph, CrewAI or similar.
- Build and maintain RAG pipelines, including chunking strategies, embedding generation, vector store management and retrieval tuning.
- Integrate with LLM providers such as OpenAI, Anthropic or others, including prompt engineering, tool/function calling, structured output generation and context window management.
- Develop AI-driven features such as campaign brief generation, audience recommendation, content variant creation and performance insight summarization.
- Design agentic systems that autonomously analyze marketing data, generate recommendations and trigger downstream actions across channels.
- Implement evaluation and observability frameworks to monitor LLM output quality, latency and cost in production.
Full Stack Development
- Build and maintain frontend interfaces using React and Next.js, including dashboards, agent interaction UIs, campaign builders and insight surfaces.
- Design and implement RESTful and/or GraphQL APIs in Python (FastAPI or Flask) or Node.js to serve AI outputs to the frontend.
- Integrate frontend experiences with backend AI services, streaming LLM responses and real-time status updates.
- Own the full feature lifecycle from technical design through implementation, testing and deployment.
- Ensure UI components are performant, accessible and consistent with design system standards.
Data & Integrations
- Work with structured and unstructured marketing data, including campaign performance metrics, audience segments, content libraries and brand strategy documents.
- Integrate with third-party marketing platforms and data sources such as Klaviyo, Google Ads, Meta and Shopify.
- Collaborate with data engineering teams to consume Snowflake-sourced customer signals and segment outputs.
Requirements
Non-Negotiable
- 5-10 years of professional software engineering experience, with meaningful time in both backend and frontend development.
- Proven experience building and deploying LLM-powered applications in production, not just prototypes.
- Strong proficiency in Python for backend/AI development.
- Strong proficiency in React and Next.js for frontend development.
- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI or equivalent.
- Experience building RAG pipelines using vector stores such as Pinecone, Weaviate, pgvector or similar.
Strongly Preferred
- Experience designing and building multi-agent or agentic AI systems with tool use, memory and planning capabilities.
- Familiarity with prompt engineering best practices, structured output generation and LLM evaluation methodologies.
- Experience with streaming LLM responses and real-time UI updates using SSE or WebSockets.
- Prior work in a SaaS product company shipping production features.
- Familiarity with marketing platforms, e-commerce data or martech ecosystems.
- Experience with API design and backend service architecture.
Good to Have
- Exposure to TypeScript and modern frontend tooling such as Tailwind CSS or shadcn/ui.
- Familiarity with Snowflake or other cloud data warehouses as a data source for AI pipelines.
- Experience with observability tools for LLM applications such as LangSmith, Helicone, Arize or similar.
- Understanding of marketing concepts such as segmentation, campaign lifecycle, attribution and content personalization.
What We're Looking For
- Availability to work US business hours with overlap with US Eastern or Pacific timezone.
- Strong written and verbal English communication.
- Product sense and care for the user experience of AI features.
- Ownership mindset and comfort taking features end to end.
- Comfort with ambiguity and experience designing reliable systems around non-deterministic LLM behavior.
- Collaborative working style across engineering, design and client-facing functions.
What We Offer
- Competitive compensation based on experience.
- Fully remote role: work from anywhere in India. Hyderabad-based candidates preferred.
- High-impact work at the frontier of applied AI for marketing and e-commerce.
- Direct exposure to real brand problems, real data and real production AI systems.
- A small, senior team where your architecture decisions matter and your contributions are visible.