Software Engineer, AI

Divergent

$122K — $168K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI/ML engineering
  • Bachelor's degree in Computer Science, AI, ML or related field
  • Proficient in programming languages such as Python and C++
  • Deep expertise in agentic design patterns
  • Experience using agent-centric frameworks like LangGraph
  • Practical experience with ML/LLM libraries such as vLLM and PyTorch
  • Excellent communication and collaboration skills

Responsibilities

  • Design and develop generative AI models using deep learning techniques
  • Collaborate with teams to integrate generative AI solutions into products
  • Select and fine-tune generative processes for specific use cases
  • Architect AI software using agentic workflows and advanced state management
  • Determine hardware needs and optimize AI pipeline performance
  • Work with infrastructure teams to design deployment architecture
  • Monitor model performance and track AI agent reliability

Benefits

  • Competitive salary, equity plan, and performance-based incentives
  • Paid vacation, sick leave, and company holidays including a year-end shutdown
  • Comprehensive health benefits with HMO and PPO options
  • Reimbursement for professional development and training
  • Collaborative work environment focused on innovation in manufacturing
Full Job Description
Purpose

We are seeking an AI Software Engineer with a strong background and hands-on experience using the latest technologies in Generative AI along with traditional AI knowledge. You will be working on designing, developing, and deploying AI software leveraging large language models (LLMs) and multimodal models. You will be participating in an end-to-end solution handling including data ingestion, model training, agentic orchestration, inference optimization, and production deployment. This role will be key to building autonomous AI Agents that improve process efficiency and product quality at Divergent.
The Role
  • Design, develop, and deploy innovative generative AI models and algorithms using the latest deep learning techniques.
  • Collaborate with cross-functional teams to integrate and optimize generative AI solutions into products and processes.
  • Select and fine-tune the state-of-the-art generative process for the given use case.
  • Architect domain-specific AI software using agentic workflows, multi-agent orchestration, and advanced state management.
  • Determine hardware requirements and optimize inference performance for generative AI pipelines.
  • Collaborate with the infrastructure team to design the deployment architecture.
  • Collaborate with the data engineers, product teams, people operations, and legal to ensure compliant and responsible AI.
  • Implement model monitoring, agent reliability tracking, and bias mitigation to improve result quality.
Basic Qualifications
  • Ability to lawfully access information and technology that is subject to US export controls
  • Proficient in programming languages such as Python and C++.
  • Familiarity with data structures and algorithms.
  • Understanding of LLMs and multimodal models with their performance considerations and use cases.
  • Deep expertise in agentic design patterns, including tool-use (function calling), iterative reasoning loops, and autonomous error correction.
  • Experience using agent-centric frameworks such as LangGraph, or advanced implementations of LangChain and LlamaIndex.
  • Experience with ML/LLM libraries such as vLLM, PyTorch, and HuggingFace.
  • Practical experience developing, deploying, and scaling production-grade AI Agents and multi-agent systems.
  • Bachelor's in Computer Science, AI, ML or related field.
  • 3+ years of experience in AI/ML engineering.
  • Excellent communication and collaboration skills
Preferred Qualifications
  • Master's or Ph.D. in Computer Science, AI, ML or related field.
  • Knowledge about ethical AI, compliance frameworks, and safety in AI.
  • Experience developing multimodal pipelines.
  • Hands-on experience with traditional AI, ML, and Deep learning methods and libraries.
  • Proficient in programming languages such as C#, TypeScript.
  • Knowledge of MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Strong publication record in the field of AI.
Work Environment
  • Onsite


Pay Range

$122,573-$168,340 USD

What We Offer:
  • Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions.
  • Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time.
  • Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind.
  • Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance.
  • Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint.

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