AI/Machine Learning Engineer - Python - Loops

IFS

$110K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-5 years of experience as a Python Engineer or Backend Engineer, AI/ML experience is a strong plus.
  • Strong proficiency in Python with familiarity in JavaScript/TypeScript for integrations.
  • Hands-on knowledge of AI/ML frameworks such as OpenAI, Hugging Face, and LangChain.
  • Understanding of system integration patterns; comfortable with RESTful APIs, JSON, and data pipelines.
  • Experience with enterprise systems like CRM, ERP, or Developer platforms is advantageous.
  • Strong skills in debugging, testing, and code optimization.
  • Ability to produce clean, maintainable, and well-documented code.

Responsibilities

  • Design and maintain backend systems for AI/ML workflows.
  • Build and maintain Python-based services and integrations for AI functionality.
  • Develop reusable libraries and APIs to enhance product capabilities.
  • Ensure code quality and scalability through comprehensive testing and CI/CD.
  • Implement and optimize AI/ML workflows using modern technologies like LLMs and vector databases.
  • Integrate AI/ML libraries and external APIs into existing systems.
  • Collaborate with product and engineering teams to translate requirements into technical solutions.

Benefits

  • Flexible paid time off, including sick leave and holidays.
  • Medical, dental, and vision insurance.
  • 401K plan with company contributions.
  • Flexible spending accounts available.
  • Life insurance and disability benefits provided.
  • Tuition assistance for continued education.
  • Opportunities for community involvement and volunteering events.
Full Job Description
Job Description

As a Software Engineer, AI/ML, you will design, build, and optimize the backend systems that power intelligent agent workflows. You will work across data pipelines, APIs, and AI/ML frameworks to create reliable, scalable, and production-ready solutions. This role emphasizes strong software engineering fundamentals, with the added dimension of applying AI/ML concepts to real-world enterprise applications.

What You'll Do:
  • Backend & Systems Engineering
  • Build and maintain Python-based services, integrations, and data pipelines that support AI agent functionality.
  • Develop reusable libraries, APIs, and frameworks to accelerate AI-driven product capabilities.
  • Ensure code quality, maintainability, and scalability through testing, CI/CD, and performance monitoring.
  • Applied AI/ML Engineering
  • Implement and optimize workflows leveraging LLMs, embeddings, RAG systems, and vector databases.
  • Integrate AI/ML libraries and external APIs (e.g., OpenAI, Hugging Face, LangChain, Pinecone, Weaviate).
  • Experiment with prompt engineering and fine-tuning to improve reliability and performance of deployed agents.
  • Collaboration & Delivery
  • Partner with product and core engineering teams to translate requirements into technical solutions.
  • Contribute to architecture decisions and internal technical documentation.
  • Support the deployment of agents into enterprise environments with a focus on stability, accuracy, and scale.


Qualifications
  • 2-5 years of professional experience as a Python Engineer / Backend Engineer (experience with AI/ML is a strong plus).
  • Strong proficiency in Python and familiarity with JavaScript/TypeScript for integrations.
  • Hands-on knowledge of AI/ML frameworks and tools (OpenAI, Hugging Face, LangChain, vector DBs, RAG).
  • Understanding of system integration patterns and comfort working with RESTful APIs, JSON, and data pipelines
  • Experience with enterprise systems (CRM, ERP, Helpdesk, Developer platforms, HR/Finance systems) is a plus.
  • Strong debugging, testing, and optimization skills.
  • Ability to write clean, maintainable, and well-documented code.

What Success Looks Like in 3-6 Months
  • Technical Depth: You'll be proficient in the internal platform, building integrations and Python services with confidence.
  • AI/ML Impact: You'll have delivered backend components that integrate AI/ML capabilities into enterprise workflows.
  • Engineering Excellence: You'll contribute to reusable libraries, deployment pipelines, and system reliability practices.
  • Team Contribution: You'll collaborate effectively with other engineers and product teams, influencing technical direction.


Additional Information

What We're Offering
  • Salary Range: $110,000 to $120,000 plus bonus potential
  • Flexible paid time off, including sick and holiday
  • Medical, dental, & vision insurance
  • 401K with Company contribution
  • Flexible spending accounts
  • Life insurance and disability benefits
  • Tuition assistance
  • Community involvement and volunteering events

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