Are you a seasoned Salesforce LLM Developer (LWC + APEX) looking for your next move? Our client has a 3 - 6 month project? If you have what it takes, We are seeking talent on behalf of our partner Turing.

To ensure you're considered the perfect fit, tailor your resume to highlight the required skills by detailing their practical application in your work experience. Use specific examples to demonstrate how you've utilized these skills.

About Turing

Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.

About the Role

A NASDAQ-listed international enterprise with a focus on both services and products for the Internet is looking for an APEX Engineer. The selected candidate will be responsible for writing effective, high-quality APEX code to validate the efficiency of their LLM. The company has managed to single-handedly dominate the I.T. industry by establishing themselves as the leading Internet media giant.

Key Responsibilities:

· Design, develop, and maintain robust, scalable Lightning Web Components (LWC) to enhance user experience within the Salesforce platform.

· Optimize LWC performance, ensuring responsive interfaces and smooth user interactions.

· Implement high-quality Apex classes, triggers, and batch processes for complex business logic, ensuring adherence to best practices and coding standards.

· Integrate with external APIs and third-party applications, using Salesforce APIs and established integration patterns.

· Ensure top-notch security, data integrity, and compliance within the Salesforce environment.

· Conduct thorough code reviews, providing constructive feedback and ensuring coding standards and best practices are met.

· Provide clear, organized, and well-documented code and technical documentation.

Required Skills & Qualifications:

· 4+ years of professional Salesforce development experience, with a strong focus on Lightning Web Components (LWC), Apex, and SoQL

· Experience with LWC lifecycle methods, data binding, event handling, and responsive UI design.

· Proficiency in Apex, including writing unit tests, triggers, batch jobs, and asynchronous processes.

· Solid understanding of Salesforce APIs (SOAP, REST, Bulk API), integration patterns, and best practices.

· Familiarity with Salesforce security models, governor limits, and performance optimization techniques.

· Excellent written and verbal communication skills in English.

· Bachelor’s/Master’s degree in Computer Science, Engineering, or equivalent experience.

· Salesforce certifications: PD1 (Platform Developer I) required; PD2 (Platform Developer II) highly preferred.

Imp Information: In this job, you won't be working on a project. You'll be interacting and validating the output of an LLM (asking questions based on an open source data set and then verifying and providing feedback on the response you received). Candidates will need to provide a written confirmation if they are comfortable with this type of job?

Please go through the below demonstration of

Search Guidance

Mandatory Skills- Apex -4+ years, Salesforce-4+ years, Lightning Components (Aura), LWC, and VF pages 4 years, Salesforce APIs (SOAP, REST, Bulk API), integration patterns, PD1 (Platform Developer I) Total Years Of exp- 4+ years experience mandatory Opportunity- Full time - 5 hours (PST overlap) Notice Period: 2 weeks only

Engagement length - 3-6 Months

Pre-screening questions to be asked while submitting the profiles:

· How many years of experience do you have doing APEX programming? Tell us about your challenging project and why?

· How many years of experience do you have doing Lighting Components (AURA) and/or LWC and/or VF? Tell us about your challenging project and why?

· In this job, you won't be working on a project. You'll be interacting and validating the output of an LLM (asking questions based on an open-source data set and then verifying and providing feedback on the response you received). Are you comfortable with this type of job? Why do you believe you would be a good fit (please, no ChatGPT to reply).

· Do you have any of the following

o Salesforce certifications?

o PD1 (Platform Developer I)

o PD2 (Platform Developer II)

· If you are interested in this job, are you available immediately? If not, what is your notice period? Can you work full time of 40 hours during your notice period?

· Are you available for a technical interview (about 60 mins) within 48 hours?

To Help Understand The role Better We'd like to take a few minutes to discuss what a typical day might entail for you in this role. Our aim is to ensure you have a clear understanding of the role and responsibilities, with no surprises on your first day.

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.

The project's goal is to create this high-quality training data, and you will have a critical role to play.

We generate this proprietary data for two types of approaches used for fine-tuning LLMs: Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). RLHF typically involves interacting with the LLM model, providing feedback on its output, and offering rewrites when necessary. In SFT, we generate numerous golden prompt-response pairs, devoid of model interaction.

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 React/Node/Javascript/Typescript code to solve the questions. A collection of 5k-10k such samples could form the dataset for model fine-tuning.

For RLHF data generation, you might have to put together or be provided a prompt by the customer, ask the model questions, and evaluate the outputs generated by two versions of the

LLM model. You'd compare these outputs and provide feedback, which is then used to fine-tune the models. Please note that this role does not require you to build LLMs or fine-tune them.

- Do you have any questions or concerns?

- Does the role excite you? 

Apply by sending your CV to tech@punditspace.io