Company Overview

169Pi is a fast-growing technology company focused on solving real-world problems using advanced Artificial Intelligence and Machine Learning. We build AI infrastructure that include productivity tools, proprietary models, and agentic systems that deliver measurable impact for businesses and consumers. Our work spans large language models (LLMs), retrieval-augmented generation (RAG), multimodal AI, and end-to-end AI systems deployed in production.

We are looking for a highly capable AI Researcher to join our core team, someone who combines strong research depth with hands-on engineering skills, and who can help shape the company’s AI direction as we scale.

Role Overview

As an AI Researcher at 169Pi , you will work across the full AI lifecycle - research, experimentation, system design, and production deployment. This role is ideal for someone who has worked with modern LLM-based systems, understands both research and applied AI, and is excited to build scalable, real-world AI solutions.

You will collaborate closely with founders, engineers, and product teams to design intelligent systems, push the boundaries of applied AI, and turn cutting-edge research into business value.

Key Responsibilities

1. AI Research & Innovation

• Conduct research on advanced AI techniques, including LLMs, RAG pipelines, multimodal models, and agentic workflows.
• Stay up to date with the latest research papers, tools, and frameworks, and translate them into practical applications.
• Design experiments to evaluate new architectures, prompting strategies, fine-tuning methods, and retrieval techniques.

2. LLMs & Intelligent Systems

• Build and optimize LLM-powered systems such as RAG, tool-using agents, and multi-step reasoning pipelines.
• Work with vector databases, embeddings, retrieval strategies, and memory systems.
• Improve model performance through prompt engineering, fine-tuning, evaluation frameworks, and feedback loops.

3. Applied ML & Model Development

• Develop, train, and optimize machine learning and deep learning models for NLP, vision, speech, or multimodal tasks.
• Handle data pipelines including preprocessing, labeling strategies, and quality analysis.
• Evaluate models using both quantitative metrics and qualitative analysis.

4. Product & Engineering Integration

• Collaborate with engineering teams to deploy models into production environments.
• Build scalable prototypes and internal tools to validate research ideas quickly.
• Optimize AI systems for latency, cost, reliability, and real-world constraints.

5. Experimentation, Analysis & Iteration

• Design rigorous experiments and ablation studies to guide technical decisions.
• Analyze results, identify failure modes, and iteratively improve system performance.
• Contribute to internal benchmarks and evaluation frameworks.

6. Documentation, Knowledge Sharing & Leadership

• Maintain clear documentation of research findings, system designs, and experiments.
• Present insights and demos to technical and non-technical stakeholders.
• Mentor junior researchers or engineers as the team grows.

Qualifications

Strong background in Computer Science, AI, ML, or a related field (degree or equivalent practical experience).

Proven experience working with LLMs, RAG systems, or modern NLP pipelines .

Solid understanding of machine learning and deep learning fundamentals.

Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face , or similar.

• Strong proficiency in Python and experience building production-grade ML systems.
• Experience with vector databases, embeddings, evaluation methods, or agent frameworks is a big plus.
• Excellent problem-solving ability, intellectual curiosity, and a strong growth mindset.
• Ability to think both like a researcher and a product engineer.

What Sets You Apart

• You don’t just follow papers, you turn ideas into working systems.
• You understand trade-offs between research purity and production reality.
• You’re excited to own problems end-to-end and help shape the company’s AI roadmap.
• You care about impact, not just experiments.

Benefits & Growth

• Opportunity to work on cutting-edge AI systems with real-world impact.
• Influence over the company’s AI strategy and technical direction.
• Potential to publish research or write technical blogs.
• Direct mentorship from experienced founders and AI engineers.
• Fast growth, high ownership, and a startup environment where your work matters.
• Competitive compensation with long-term growth opportunities.

How to Apply

To apply for the AI Researcher role, please apply via LinkedIn or send your resume, a brief cover letter, and relevant projects or research work to careers@169pi.ai.

Join us in shaping the future through the power of artificial intelligence and machine learning. 169Pi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us on our journey of innovation and growth!