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LLM Engineer / AI Solutions Engineer

Fulfillment IQ - 6 Jobs
Toronto, ON
Posted today
Job Details:
Remote
Full-time
Experienced
Benefits:
Health Insurance
Paid Time Off
Flexible Work
Stock/Profit Share

Salary:
General Information

Role Title: LLM Engineer / AI Solutions Engineer

Job Location: USA/Canada

About Fulfillment IQ (FIQ)

At Fulfillment IQ, we are revolutionizing the way companies approach supply chain and logistics. We're an award-winning supply chain tech company, specializing in providing solutions to D2C brands, retailers, and 3PLs. Our dedicated team of supply chain experts, engineers, developers, and subject matter experts help address logistics challenges from software development to supply chain tech implementations.

If you are passionate about supply chain technology and thrive in a challenging environment, we have the perfect opportunity for you to shine and make a difference. We're expanding our team and seeking individuals eager to contribute to a transformative industry, collaborate with top experts, and have a hands-on role in shaping the future of supply chain processes.

Join us now and be a part of our rapidly growing company that's making waves in the supply chain industry.

Position Summary

We are looking for an LLM Engineer / AI Solutions Engineer to design, fine-tune, and deploy Large Language Models (LLMs) and build custom AI workflows within our SaaS platform. This role requires expertise in AI model integration, automation, and cloud-based deployment, along with a strong foundation in Python and LLM frameworks.

The ideal candidate has experience working with LLM APIs, retrieval-augmented generation (RAG), fine-tuning models, and vector databases, while integrating AI-driven capabilities into production environments. This role will collaborate closely with product and engineering teams to build scalable, secure, and efficient AI solutions.

Main Responsibilities

1. Large Language Model (LLM) Development & Optimization

Fine-tune and optimize LLMs like OpenAI (GPT-4, GPT-4 Turbo), Mistral, Meta (Llama), Anthropic, Falcon, and other open-source models

Develop custom AI workflows for SaaS applications using LangChain, LlamaIndex, and Hugging Face

Implement prompt engineering, few-shot learning, and reinforcement learning techniques for enhanced model performance

Work with retrieval-augmented generation (RAG) to improve model context understanding

2. AI Workflow & SaaS Integration

Build and deploy AI-driven workflows and automation tools

Integrate AI solutions with APIs, microservices, and event-driven architecture

Design and optimize vector search capabilities with Weaviate, Pinecone, FAISS, ChromaDB

Implement multi-agent systems using AutoGen, CrewAI, and ChatDev for LLM-based decision-making

3. Cloud & Infrastructure (Multi-Cloud Ready)

Deploy AI models on Azure, GCP, AWS, or on-prem environments

Develop scalable LLM services with Docker, Kubernetes, and serverless architecture

Optimize cost, performance, and scalability of AI deployments

4. Programming & Automation

Write efficient, production-grade Python code for AI-powered applications

Work with FastAPI, Flask, PyTorch, TensorFlow, and other ML frameworks

Build end-to-end machine learning pipelines and ensure CI/CD for ML models

5. Security, Compliance & AI Ethics

Implement data privacy measures for compliance with SOC 2, ISO 27001, GDPR, HIPAA

Ensure model fairness, explainability, and bias mitigation

Follow best practices in AI security and model robustness.

Experience and Qualifications

3+ years of experience in AI, ML, or NLP development

Strong expertise in Python, with hands-on experience in LLM frameworks (LangChain, LlamaIndex, Hugging Face)

Experience integrating LLMs with APIs, databases, and cloud environments

Knowledge of vector databases (Weaviate, Pinecone, FAISS, ChromaDB)

Familiarity with multi-cloud platforms (Azure AI Studio, GCP Vertex AI, AWS Bedrock, OpenAI API)

Understanding of AI model deployment, optimization, and inference performance tuning

Strong grasp of MLOps and DevOps practices for AI

Nice-to-Have Skills:

Experience with digital twins, AI agents, reinforcement learning

Knowledge of AutoGen, CrewAI, and multi-agent LLM collaboration

Experience in fine-tuning open-source models (Llama, Mistral, Falcon) on custom datasets.

Why Youll Love Working Here

Innovative Environment:We are at the forefront of innovation, providing you with opportunities to work on cutting-edge projects that have a global impact.

Career Growth: We believe in your potential and offer numerous training and development programs to accelerate your career growth.

Work-Life Balance: We offer flexible working hours, hybrid/remote work options, and a focus on wellness to ensure our team members maintain a healthy balance.

Diversity & Inclusion:We are committed to creating an inclusive work environment where diverse voices are not just heard but empowered.

Collaborative Culture: Work with a supportive and talented team, where every opinion is valued, and success is celebrated collectively.

Corporate events: Annual gathering for gelling up with team from diverse city/state/country with sightseeing and lot more engagement activity and thrill.

Perks youll appreciate

Comprehensive health insurance for you and your family

Generous paid time off, including vacation, holidays, and sick leave

Flexible work schedules

Employee wellness program

Business/client travel, internet, and workstation reimbursements

Sponsored U.S. visa opportunities (based on performance and project needs)

Anniversary rewards (Amazon or Sodexo vouchers)

Employee stock options (ESOP)

Retirement savings plan

Learn More About Us

Website: fulfillmentiq.com

LinkedIn: Fulfillment IQ

Spotify: eCom Logistics Podcast Spotify

YouTube: eCom Logistics Podcast YouTube


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