Pascal / Delphi Developer

About Company :

Our Client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.

Client helps customers in two ways : Working with the worlds leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Powering this growth is Client talent cloudan AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications.

All of this is orchestrated by ALANour AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance.

ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.

Clientbased in San Francisco, Californiawas named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others.

Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.

Job Title : Pascal or Delphi Developer.

Location : Remote.

Note : Candidate should be comfortable to work for US Shifts / Night Shifts.

Interview Mode : Virtual (Two rounds of interviews (60 min technical + 30 min technical & cultural discussion).

Client : Turing.

Experience : 5+ yrs.

Job Type : Contract to hire.

Notice Period : Immediate joiners.

Role Overview :

This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models.

One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes : first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models.

For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Pascal or Delphi code to solve the questions.

For RLHF data generation, you may need to create a prompt yourself or use one provided by the customer, ask the model questions, and evaluate the outputs generated by two versions of the LLM.

You'll compare these outputs and provide feedback, which is then used to fine-tune the models.

Please note that this role does not involve building or fine-tuning LLMs.

What does day-to-day look like :

• Design, develop, and maintain code modules in Pascal, Delphi, or related dialects.
• Refactor legacy Pascal codebases to enhance performance, maintainability, and readability.
• Create high-quality code-plus-instruction datasets used to fine-tune conversational coding assistants.
• Ensure code samples are syntactically correct, well-commented, and self-contained.
• Write developer-friendly documentation to support model evaluation and human review.
• Evaluate LLM-generated Pascal outputs and provide constructive, structured feedback for model improvement.
• Collaborate with peers on dataset quality reviews and alignment with project guidelines.
• Follow rigorous formatting and quality control standards to ensure data integrity and value.
• Contribute to prompt design, tooling feedback, and optimization of task workflows.

Requirements :

Preferred / Nice-to-Have :

(ref : hirist.tech)