Founding LLM Agent Engineer

Location: Remote Type: Part-Time (with potential for Full-Time) About Us We are a Singapore-based startup dedicated to transforming workplace productivity through AI-driven automation . We build agentic AI tools to streamline development, sales, and operations, allowing organizations to harness AI for maximum efficiency, and empower users to enhance their overall wellness. At our early-stage startup, your ideas will matter, your work will have real impact, and you'll play a pivotal role in shaping a product that genuinely improves lives. You'll collaborate closely with the founders and a small, focused engineering team to build the next big innovation in workplace productivity and wellness. We want to hear from you if you’re passionate about technology, health, and solving meaningful challenges! Our founding team brings a wealth of experience from prestigious institutions like IIT Madras and Nanyang Technological University, with over 22 years of collective experience building and scaling fast-paced startups. Ishaan has successfully launched two venture-funded startups in Singapore, while Mehul has contributed to global giants like Amazon, Delivery Hero, and Flipkart across Europe and India. Key Responsibilities

• AI-Driven Productivity Tools – Develop AI-powered productivity tools to enhance efficiency across development, sales, and operations, enabling seamless human-AI collaboration. 
• VS Code Extension & IDE Enhancements – Develop an AI assistant for code generation, refactoring, and contextual chat, using self-hosted open-source LLMs for seamless developer experience.
• Agentic Frameworks & Automation – Leverage and extend agentic frameworks to support multi-step reasoning, memory, and tool integrations.
• Full-Stack AI Infrastructure – Design scalable APIs and backend services to handle chat requests, embeddings, and model orchestration for multiple use cases.
• Continuous Innovation – Stay ahead of AI advancements, refining prompts, optimizing models, and integrating new technologies to improve workflows.
• Enterprise-Grade Security & Performance – Ensure fast, reliable AI-assisted workflows with caching, indexing, and secure data handling (e.g., model privacy, PII anonymization, on-prem deployment).
• LLM Evaluation and Optimization: Evaluate, fine-tune, and optimize open-source LLMs for various use cases, balancing accuracy, latency, and cost.
• Cross-Functional Collaboration – Partner with internal teams to identify and automate high-value workflows, from developer tooling to AI-driven sales and customer support.

Required Skills & Qualifications

• LLMs & Agentic AI – Hands-on experience with large language models (GPTs, LLaMA, DeepSeek), agentic frameworks (LangChain, Crew, custom AI orchestration), and vector Databases (Pinecone, Milvus, FAISS, pgvector).
• Fullstack skills – Proficient in Frontend frameworks (React, NextJS), API Development (Python or Node.js), DevOps and Deployment (CI/ CD, Docker, Cloud Infrastructure). 
• Prompt Engineering & AI Workflow Design – Expertise in crafting effective prompts, memory/context handling, and agentic workflows for multi-step automation.
• LLM Evaluation and Optimization - Experience in LLM evaluation, retrieval-augmented generation (RAG), and inference optimization (quantization, efficient model deployment, GPU acceleration).
• Collaboration & Fast Iteration – Ability to translate business needs into rapid prototypes and iterate quickly in a startup environment.

Preferred Qualifications

• Experience in reducing LLM inference latency, implementing caching strategies, and optimizing retrieval-based models.
• Prior startup experience, comfortable wearing multiple hats.
• Knowledge of enterprise AI security (data anonymization, regulatory compliance, SOC2, GDPR, SSO).
• Experience with enterprise-grade security/ compliance requirements (SSO, encryption, data privacy for AI workflows). 
• Experience with LLM inference acceleration (GPU optimization, CUDA, TensorRT, or model compression techniques).

What We Offer

• Ownership: Equity; potential for full-time conversion with equity options in the future.
• Flexibility: Fully remote with a customizable schedule.
• Impact: Build technology to enhance user well-being and productivity.
• Growth: Own critical components, work with advanced tech, and scale globally.
• Culture: Join a creative, collaborative, and passionate team.
• Global Scale: Work with experienced founders who have scaled international businesses.

How to Apply: Apply on LinkedIn and follow our page for future job updates or send your resume, portfolio, or links to relevant projects to careers@wellnessatwork.ai. Please reference “Founding LLM Agent Builder” in the subject line if you are applying by sending an email. We look forward to building a healthier, more productive future together!