Expertise: coding_expert

A well-established company that is leveraging the advanced power of technology to help realize the science-fiction fantasy of collaborative and open-ended computer dialogues, is looking for Go develoeprs. The engineer will be working together on the definition, design, and delivery of new features with cross-functional teams. The company is developing the next generation of dialog agents, which will have a wide range of uses in areas including education, entertainment, and general question-answering. Main tasks listed: Review the code / solutions generated by an AI system, ensuring adherence to quality standards and best practices; Organize the development cycle, effectively manage project priorities, and specify goals and deadlines; Use your expertise in Go programming to help resolve difficult coding issues that come up during AI validation; Create a collaborative environment within the team that encourages innovation, communication, and continued improvement.

We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus. Main tasks listed: Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring; Translate business objectives into robust ML architectures that accurately capture business logic and context; Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics; Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding…

As a Delivery Leader for our LLM Training business, you will play a pivotal role in leading our efforts to develop high-quality, foundational LLMs. This position requires managing large teams of software engineers and data scientists dedicated to performing various Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) tasks. Your leadership will ensure the delivery of superior SFT and RLHF datasets, achieving optimal outcomes in terms of quality, throughput, and cost. Main tasks listed: Lead and manage large teams (20+) of Python, JavaScript, Java (and other long tail of languages) developers to execute technical tasks effectively; Collaborate closely with researcher clients, ensuring their satisfaction with the delivered work; Maintain rigorous review processes to ensure the highest quality of datasets; Oversee the transition of projects from initiation to stable states, taking full responsibility for delivery.

We are seeking an engineer responsible for designing, implementing, and maintaining data-validation workflows inside Docker-based build pipelines. This role involves creating and managing Dockerfile labels, metadata standards, and validation scripts that ensure datasets, schemas, and model artifacts meet quality and compliance requirements before deployment. Main tasks listed: Develop and optimize Dockerfiles with built-in data-validation steps; Implement LABEL metadata for dataset versions, schemas, and lineage; Create validation scripts (Python/Bash) for schema checks, data integrity, and quality control; Integrate validation steps into CI/CD pipelines and enforce fail-on-bad-data checks.

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. Main tasks listed: Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models; Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement; Familiarity with Python frameworks and libraries; Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.

We are actively seeking talented Data Scientists & Analysts proficient in Python to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with companies in the US looking to develop cutting-edge commercial and research AI solutions. Main tasks listed: Design, develop, and maintain efficient, high-quality code to train and optimize AI models; Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement; Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria; Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.

We are actively seeking talented developers proficient in Python & Javascript/Typescript to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop cutting-edge commercial and research AI solutions. Main tasks listed: Design, develop, and maintain efficient, high-quality code to train and optimize AI models; Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement; Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria; Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.

We are actively seeking talented developers proficient in Javascript/Typescript to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop cutting-edge commercial and research AI solutions. Main tasks listed: Design, develop, and maintain efficient, high-quality code to train and optimize AI models; Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement; Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria; Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.

We are actively seeking talented developers proficient Java Engineer. The engineer will be working together on the definition, design, and delivery of new features with cross-functional teams. The company is developing the next generation of dialog agents, which will have a wide range of uses in areas including education, entertainment, and general question-answering. This is an exciting opportunity for candidates who are keen to learn in a fast-paced setting. Main tasks listed: Design, develop, and maintain efficient, high-quality code to train and optimize AI models; Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement; Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria; Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.