Software Engineer

Intelliswift - An LTTS Company; United States; Remote; USD 100,000 - 720,000; Full time

Job summary

A leading company in AI development is seeking a Software Engineer to spearhead the creation of innovative AI solutions. The ideal candidate will have a strong background in AI, data science, and software engineering, with expertise in Python and Apex. This contract position offers the opportunity to work remotely and contribute to cutting-edge projects that drive growth and innovation.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• Experience in AI, data science, and software engineering.
• Must have skills in Python and Apex.
• Experience with API endpoint development.

Responsibilities

• Lead the design, development, and deployment of AI models.
• Implement state-of-the-art models including LLMs and Generative AI frameworks.
• Collaborate with business leaders to solve high-value problems.

Skills

AI development

Python

Apex

API development

Tools

LangChain

LlamaIndex

scikit-learn

Docker

AWS Sagemaker

Airflow

Job description

Intelliswift - An LTTS Company provided pay range

This range is provided by Intelliswift - An LTTS Company. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80.00/hr - $85.00/hr

Direct message the job poster from Intelliswift - An LTTS Company

Title: Software Engineer (AI, Python, Apex)

Location: Remote

Duration: 6 months contract with possibility of extension

About the role:

The ideal candidate will possess a robust background in AI, data science, and software engineering. This role will involve spearheading the development of cutting-edge AI solutions and building pro-code agents on the Client's platform.

Our team is committed to driving growth for both our company and our customers by harnessing the power of AI on Client's platform. This Platform offers a host of powerful out-of-the-box capabilities for AI-driven automation and insights. We are enhancing these features through the development of pro-code AI skills. As pioneers in advanced use cases, we integrate classical data science and machine learning techniques to develop powerful AI solutions. As Customer Zero of these advanced use cases, we develop AI agents and software development patterns that guide both our internal teams and external customers on how to fully leverage the value of this platform.

Responsibilities:

• Lead the design, development, and deployment of AI models and agents for the product organization.
• Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks (using both Python and Apex).
• Perform model optimization for performance, scalability, and accuracy.
• Implement advanced feature engineering techniques for structured and unstructured data.
• Utilize common AI development frameworks such as LangChain, LlamaIndex, and others to build and optimize AI applications.
• Collaborate with business leaders to identify and solve high-value problems.
• Deliver technical solutions that directly improve KPIs or business outcomes.
• Ensure the scalability, performance, and reliability of AI systems.
• Stay up-to-date with the latest advancements in AI, machine learning, and data science to drive innovation within the team.
• Conduct code reviews and ensure adherence to best practices in software engineering and AI development.

Day to Day:

• Team Collaboration: Participate in team meetings to discuss progress, blockers, and plans. Collaborate with business leaders to identify and solve high-value problems.
• Model Development: Design, implement, and deploy state-of-the-art AI models, including LLMs and Generative AI frameworks. Work with frameworks like scikit-learn, LangChain, and LlamaIndex.
• Feature Engineering and Optimization: Perform advanced feature engineering and optimize models for performance, scalability, and accuracy.
• Technical Solutions: Build and optimize end-to-end machine learning pipelines using tools like Docker, AWS Sagemaker, and Airflow. Work on delivering solutions that improve KPIs or business outcomes.
• Apex Development: Integrate AI solutions with Client's Agentforce platform, including working with Apex for custom development.
• Continuous Learning: Stay updated with the latest advancements in AI, machine learning, and data science to drive innovation within the team.
• Document work, including model architectures and deployment strategies, to ensure knowledge sharing within the team.

Preferred top skill sets:

Must have skills: Apex and python engineering skills, API endpoint development experience

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Accounting/Auditing

• Industries

  Banking, Investment Banking, and Capital Markets

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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