Senior Developer

About Marseer AI

Marseer AI (www.marseerai.com) is a Seattle-based company building an AI-powered marketing intelligence platform for DTC and retail e-commerce brands. The platform combines brand strategy, customer data, automation, and generative AI to help marketing teams drive consistent, data-driven engagement across email, SMS, paid media, SEO, and affiliate channels.

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 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 product interfaces 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 Will Do

- 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 recommendations, content variant creation, and performance insight summarization.

- Implement evaluation and observability frameworks to monitor LLM output quality, latency, and cost in production.

- Build 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 with backend AI services, streaming LLM responses, and real-time status updates.

- Work with structured and unstructured marketing data, campaign performance metrics, audience segments, content libraries, and brand strategy documents.

- Integrate with marketing platforms and data sources such as Klaviyo, Google Ads, Meta, and Shopify.

Requirements

- 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 and 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, vector stores such as Pinecone, Weaviate, pgvector, or similar, embedding models, and retrieval strategies.

- Experience with API design, REST or GraphQL, and backend service architecture.

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.

Good to Have

- TypeScript and modern frontend tooling such as Tailwind CSS or shadcn/ui.

- Familiarity with Snowflake or other cloud data warehouses as data sources 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 Are Looking For

- Availability to work US business hours; overlap with US Eastern or Pacific timezone is required for client collaboration and team standups.

- Strong written and verbal English communication.

- Product sense and ownership mindset.

- Comfort with ambiguity in non-deterministic LLM-powered systems.

- 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, with 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.

Why This Role Matters

We’re looking for a Principal Engineer to lead the architecture and execution of our GenAI-powered, self-serve marketing platforms. You will work directly with the CEO to shape, build, and scale products that change how marketers interact with data and AI. This is intrapreneurship in action — not a sandbox innovation lab, but a real-world product with traction, velocity, and high stakes.

What You'll Do

• Co-own product architecture and direction alongside the CEO.
• Build GenAI-native, full-stack platforms from MVP to scale — powered by LLMs, agents, and predictive AI.
• Own the full stack: React (frontend), Node.js/Python (backend), GCP (infra), BigQuery (data), and vector databases (AI).
• Lead a lean, high-caliber team with a hands-on, unblock-and-coach mindset.
• Drive rapid iteration with rigor, balancing short-term delivery with long-term resilience.
• Ensure scalability, observability, and fault tolerance in multi-tenant, cloud-native environments.
• Bridge business and tech — aligning execution with evolving user and market insights.

What You Bring

• 8–12 years of experience building and scaling full-stack, data-heavy or AI-driven products.
• Fluency in React, Node.js, and Google Cloud (Functions, BigQuery, Cloud SQL, Airflow, etc.).
• Hands-on experience with GenAI tools (LangChain, OpenAI APIs, LlamaIndex) is a bonus.
• Track record of shipping products from ambiguity to impact.
• Strong product mindset — your goal is user value, not just elegant code.
• Architectural leadership with ownership of engineering rigor and scaling best practices.
• Startup or founder DNA — you’ve built things from scratch and know how to move fast without breaking things.

Who You Are

• A former founder, senior IC, or tech lead who’s done zero-to-one and 1-to-n scaling.
• Hungry for ownership and velocity — frustrated by bureaucracy or stagnation.
• You code because you care about solving real problems for real users.
• You’re pragmatic, hands-on, and grounded in first principles.
• You understand that great software isn't just shipped — it's hardened, maintained, and evolves with minimal manual effort.
• You’re open to evolving into a founding engineer role with influence over the tech vision and culture.

What You Get

• Equity in a high-growth product-led startup.
• A chance to build global products out of India with full-stack and GenAI innovation.
• Access to high-context decision-making and direct collaboration with the CEO.
• A tight, ego-free team and a culture that values clarity, ownership, learning, and candor.

Why YOptima?

YOptima is redefining how leading marketers unlock growth through full-funnel, AI-powered media solutions. As part of our growth journey, this is your opportunity to own the growth charter for leading brands and agencies globally and shape the narrative of a next-generation marketing platform.

Ready to lead, build, and scale?

We’d love to hear from you.

- Good understanding of NODE JS back-end development

- Strong understanding of Node.js and frameworks available for it

- Understanding of front-end technologies, such as React/Angular, HTML and CSS3
-Solid understanding of object-oriented development and design patterns.

- Good experience with AJAX, REST and JSON

- Experience with development practices such as Test-Driven Development and Continuous Integration
-Experience in Version Control Systems like GIT, Bitbucket
- Must have good problem solving and analytical skills.

- Must be a team player, having good communication skills, self-starter

- Ability to pick up new technology is needed.

Based on experience, developers will be responsible for building various elements of a music app for an international client. Urgent requirement and immediate joining as project is already underway.

About Us:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, frameworks, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

What you will do at Episource:

You will be responsible for setting an agenda to develop and build machine learning platforms that positively impact the business, working with partners across the company including operations and engineering. You will be working closely with the machine learning team to design and implement back end components and services. You will be evaluating new technologies, enhancing the applications, and providing continuous improvements to produce high quality software.

Required Skills:

• Strong background in analytics, BI or data science deployments is preferable with 2-6 years of experience

• Knowledge of React/Vue, HTML, CSS

• Experience building and consuming APIs 

• Experience with MySQL, MongoDB and MEAN stack 

• Knowledge and experience with serverless architectures is a plus

• Hands-on experience with AWS or any major cloud service provider for deploying solutions

• Experience with Docker or Kubernetes in deploying solutions on the cloud

• Hands-on experience Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling