Senior Generative AI Engineer (Full-Stack)

BigSpring, Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Medical, dental, and vision coverage

Flexible vacation and PTO

Work-from-home options

Job summary

BigSpring in the United States is seeking an AI Engineer with strong full-stack capabilities to design, develop, and deploy intelligent applications that fuse AI with modern web tech. You will work on multimodal generative AI, NLP, and predictive analytics to enhance how users learn and perform on our platform.

The role requires 5+ years in full-stack development, 3+ years deploying production ML models, and hands-on experience with LLMs, prompt engineering, and enterprise-grade prompts.

Qualifications

• Master’s degree in Computer Science, AI or related field or equivalent practical experience.
• 5+ years of full-stack development experience (React, Python/Typescript) with 3+ years deploying production ML models.
• 1+ years building generative AI apps with NLP/LLMs (OpenAI, Google, HuggingFace).
• Expertise in NLP models and libraries; using LLMs; RAG and agentic workflows.
• Experience with ML frameworks and services (PyTorch, TensorFlow, scikit-learn); FastAPI/Flask.
• GenAI infra experience with Vector DBs (Qdrant) and agent tools (Google ADK, Langchain, CrewAI).
• MLOps: Docker, Kubernetes, cloud ML platforms (SageMaker, Vertex AI).
• Strong software engineering foundation and problem-solving mindset.

Responsibilities

• Design and develop full-stack AI-driven applications (React frontend, Python/Typescript backend).
• Develop advanced prompt strategies and multi-turn memory management.
• Tailor prompts for enterprise standards (privacy, compliance) and integrate into agent workflows.
• Deploy models and pipelines in production with scalable, reliable solutions.
• Monitor model performance and iterate to improve accuracy and impact.
• Collaborate with product managers and engineers to align AI solutions with business goals.
• Stay current with AI/ML advancements and advocate new tech adoption.

Skills

Full-stack development

ML model deployment

NLP/LLM expertise

RAG & agent workflows

PyTorch/TensorFlow

Docker/Kubernetes

Langchain/CrewAI

Problem solving

Education

Master’s degree in CS/AI or equivalent

Tools

React.js

Python

Typescript

OpenAI

HuggingFace

FastAPI

Flask

PyTorch

TensorFlow

Docker

Kubernetes

AWS SageMaker

Vertex AI

Qdrant

Langchain

CrewAI

Job description

BigSpring is the AI-powered Go-To-Market execution platform that builds frontline proficiency for measurable revenue growth. We bridge the critical gap between strategy and action, using AI to build job-ready 'muscle memory' while capturing real-world intelligence from the field. This approach is trusted by global enterprises like Google, Pfizer, SAP and Cisco to deliver proven results across their ecosystem of sales teams and partners. Customers have seen 2x sales productivity, 215% uplift in upsell, 9x faster time to market, and more. Backed by visionaries like John Chambers, Adam Grant, Stewart Butterfield, Marty Nesbitt (chair of the Obama Foundation), Claire Hughes Johnson (former COO of Stripe), and Mark Templeton (former President & CEO of Citrix), and recognized by the World Economic Forum as a Technology Pioneer, BigSpring is reshaping how organizations perform.

About the role

We are looking for a talented and motivated AI Engineer who is highly skilled in Full Stack to design, develop, and deploy intelligent applications that combine AI capabilities with modern web technologies. The ideal candidate will have strong expertise in Python, React.js, and LLM (Large Language Models), along with hands-on experience integrating AI features into scalable full-stack solutions. In this role, you will be instrumental in developing the end-to-end AI products that power our platform. You will work on a variety of challenges, from multimodal Generative AI, core Natural Language Processing (NLP), and predictive analytics, directly impacting how our users learn and perform. The ideal candidate possesses a high curiosity and thrives in a fast-paced startup environment. If you are passionate about applying AI to solve complex, real-world problems, this is the opportunity for you.

Responsibilities

• Model Development: Design and develop full-stack AI-driven applications using React.js (frontend) and Typescript+Python (backend)
• Advanced Prompt & Conversation Strategies: Develop sophisticated prompt templates, multi-step chains, and advanced reasoning patterns (few-shot, zero-shot) while managing memory and context for multi-turn conversations.
• Optimize & Integrate for Enterprise: Tailor and benchmark prompts to meet enterprise standards (accuracy, privacy, compliance), ensuring alignment with business intent, and partner with engineers to integrate them into agent workflows.
• Production Deployment: Own the end-to-end product lifecycle by deploying models and pipelines into our production environment, applying best practices for scalability and reliability.
• Performance & Iteration: Continuously monitor model performance in production, identifying opportunities for improvement and iterating quickly to enhance accuracy and impact.
• Cross-functional Collaboration: Work closely with product managers, software engineers, and other stakeholders to define problems, develop solutions, and integrate AI capabilities into our product.
• Research & Innovation: Stay current with the latest advancements in AI/ML and advocate for the adoption of new technologies and techniques that can add value to our platform.

What we’re looking for

• Educational Background: A Master's degree in Computer Science, AI, Statistics, or a related quantitative field, or equivalent practical experience.
• Proven Experience: 5+ years of full-stack development experience (matching our React, Python/Typescript stack), with 3+ years of hands-on experience building and deploying production-grade machine learning models.
• Generative AI & NLP Expertise: 1+ years of specific, hands-on experience building generative AI applications, demonstrating:
  
  • Expertise in core Natural Language Processing (NLP) models and libraries along with using 3rd party or open-sourced Large Language Models (LLMs) (OpenAI, Google, HuggingFace, etc.).
  • Hands-on success implementing advanced patterns with reasoning based prompting including Retrieval-Augmented Generation (RAG) and agentic workflows.
  • Experience with fine-tuning or developing domain-specific LLMs.
• Solid knowledge of traditional ML frameworks and services (e.g., PyTorch, TensorFlow, scikit-learn, Fast API, Flask).
• Deep experience with the GenAI infrastructure, including Vector DBs (e.g. Qdrant), Agent creation tools (e.g. Google ADK, Agent Builder), and Orchestration frameworks (e.g. Langchain, CrewAI).
• MLOps Acumen: A strong understanding of MLOps principles for the end-to-end model lifecycle, including experience with Docker, Kubernetes, and cloud ML platforms (e.g. AWS SageMaker, GCP Vertex AI).
• Engineering Foundation: A strong background in core software engineering principles, data structures, and algorithms to ensure scalable and reliable production code.
• Problem-Solving Mindset: The ability to partner with stakeholders, translate ambiguous business problems into concrete AI solutions, and ensure outputs align with business intent.

Why Join BigSpring?

We're an innovation-driven, high-growth company backed by industry visionaries, on a mission to reshape how organizations execute their strategies. This isn't just another job; it's an opportunity to be a builder. Here’s what that means for you:

• Solve real problems and deliver results
  Your work will directly solve customer problems, closing the execution gap for the world's leading companies. We are a team that is pragmatic, resourceful, and never stops short of results.
• Own your path and use your voice
  You'll have direct access to experienced leaders and the autonomy to influence our trajectory. We believe in the obligation to engage and dissent, giving you a real voice in the work you do.
• Join a culture of empathy and action
  We are a team that prioritizes empathy for people and tangible results over bureaucracy. Led by a female Founder/CEO, we expect every team member to show up with grit and focus to achieve our long-term goals.
• Receive concrete rewards & flexibility
  We offer a competitive compensation package with equity, comprehensive medical, dental, and vision coverage, flexible vacation and PTO, and the freedom of a flexible location with work-from-home options.