AI Engineer

Company Description 16 Alpha is a systematic investment firm that develops data-driven strategies grounded in disciplined research and structured portfolio construction. The firm operates multiple strategies under a SEBI-registered Category III AIF platform with a growing investment mandate. All strategies are built on core principles of systematic execution, adaptability, and robust risk management. 16 Alpha focuses on scalable investment systems designed for long-term value creation. The firm emphasizes balancing return opportunities with downside protection across different market environments.

Role Description This is a full-time, on-site AI Engineer role based in New Delhi. The AI Engineer will design, build, and deploy machine learning models to support systematic investment strategies, with a focus on pattern discovery, signal generation, and risk-aware decision support. Responsibilities include researching and prototyping new AI techniques, implementing production-grade code, and optimizing models for accuracy, robustness, and latency. The role will involve developing and maintaining data pipelines, collaborating with investment and research teams to translate business needs into technical solutions, and monitoring model performance in live environments.

The AI Engineer will also contribute to tooling, documentation, and code reviews to maintain high engineering and research standards. We're specifically looking to focus on an AI first equity research tool that is the first of its kind complete autonomous agentic framework for serious investors.

Also open to working with current students if you can commit the time.

PLEASE FILL IN THIS GOOGLE FORM (MANDATORY) -> https://docs.google.com/forms/d/e/1FAIpQLScod8Row3wtZq\_0uk3aFiCMHYcH\_occ6K7Tkqu2dAzpoYGWXw/viewform?usp=sharing&ouid=115929428536457987477

What you'll do

• Build and maintain pipelines that ingest, clean, and structure large volumes of documents and data
• Work with ML/LLM tooling for extraction, search, and retrieval tasks
• Write reliable, well-tested Python; debug and optimize existing code
• Run experiments, benchmark results, and turn findings into shippable improvements

You should have

• Strong Python fundamentals and comfort with the command line / Git
• Some exposure to data work (pandas, SQL, APIs) and a willingness to learn fast
• Familiarity with ML/LLM concepts or NLP
• An eye for correctness and detail — we care about getting things right

Qualifications

• Strong foundation in Computer Science and Software Development, including data structures, algorithms, version control, and production-quality coding practices.
• Proficiency in Neural Networks and Pattern Recognition, with experience applying these methods to real-world datasets and complex decision problems.
• Hands-on experience with Natural Language Processing (NLP), including text preprocessing, feature extraction, and modern language models.
• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field.
• Experience with Python and common ML frameworks (e.g., PyTorch, TensorFlow, JAX) and data tools (e.g., NumPy, pandas, SQL).
• Ability to work with large, noisy datasets and implement robust validation, backtesting, and performance monitoring frameworks.
• Strong analytical thinking, clear communication, and willingness to collaborate closely with investment and operations teams.
• Background or interest in quantitative finance or systematic investing is a plus, as is experience with cloud infrastructure and MLOps tooling.

Also open to working with current students if you can commit the time.

PLEASE FILL IN THIS GOOGLE FORM (MANDATORY) -> https://docs.google.com/forms/d/e/1FAIpQLScod8Row3wtZq\_0uk3aFiCMHYcH\_occ6K7Tkqu2dAzpoYGWXw/viewform?usp=sharing&ouid=115929428536457987477