---
title: 'LLM Research Intern (December 2026 to April 2027) at ProCogia'
canonical: 'https://feeny.ai/job/llm-research-intern-december-2026-to-april-2027-procogia-vancouver-822666pptcse'
type: 'job'
last_seen: '2026-10-19'
---

# LLM Research Intern (December 2026 to April 2027) at ProCogia

- **Company:** ProCogia
- **Location:** Vancouver, Canada
- **Work type:** onsite
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-19
- **Apply:** https://procogia.com/about-us/careers/?gh_jid=5448685008

## Job description

About ProCogia:

ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work across highly regulated and high-stakes industries, including telecommunications, financial services, life sciences, healthcare, and the public sector, where security, governance, reliability, and performance are critical. Our teams bring together expertise across data science, engineering, AI, analytics, and consulting to design and deliver practical, production-ready solutions. We are actively advancing capabilities across generative AI, agentic systems, workflow automation, AI governance, and enterprise AI applications. At ProCogia, you will work alongside experienced practitioners on meaningful technical challenges and contribute directly to both client solutions and the platforms and products we are building internally.

Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership

Work Location: Vancouver (On-site – Full-Time Work from office in Vancouver, five days a week Mon-Fri)

Job Summary

ProCogia is looking for a curious and technically strong LLM Research Intern to join our Vancouver team. This is a hands-on research and engineering role for someone interested in understanding how large language models can be adapted, evaluated, optimized, and deployed for specialized enterprise use cases. You will work alongside our AI, data science, and engineering teams to experiment with open-weight LLMs, supervised fine-tuning, continued pretraining, parameter-efficient adaptation, model evaluation, RAG, and inference optimization.

## Key Responsibilities

- Assess domain-specific datasets and determine the right adaptation approach across fine-tuning, continued pretraining, RAG, or hybrid strategies.
- Establish baseline performance and measure whether model adaptations produce meaningful, defensible improvements.
- Curate, clean, deduplicate, structure, and quality-filter datasets for training and evaluation.
- Fine-tune open-weight LLMs using techniques such as LoRA, QLoRA, PEFT, and multi-adapter approaches.
- Support training and experimentation across single-GPU and distributed multi-GPU environments.
- Design rigorous evaluation frameworks covering factuality, reasoning, grounding, robustness, domain performance, and failure modes.
- Apply public benchmarks and build task-specific evaluation datasets and metrics where standard benchmarks are insufficient.
- Compare models, prompting strategies, retrieval methods, and adaptation techniques through controlled experiments.
- Analyze trade-offs across model quality, accuracy, latency, memory, GPU utilization, token usage, compute requirements, and cost.
- Improve model reliability by evaluating RAG, grounding, reranking, guardrails, hallucination-reduction techniques, and inference optimization.
- Research emerging models, papers, datasets, benchmarks, and techniques, and communicate findings through reproducible experiments, documentation, demos, and presentations.

What You Bring?

- Strong programming skills in Python.
- Hands-on experience with machine learning or deep learning through research, coursework, internships, projects, or open-source contributions.
- Solid understanding of transformer architectures, LLMs, and modern NLP concepts.
- Experience or exposure to model training and fine-tuning using tools such as PyTorch and Hugging Face Transformers.
- Understanding of experimental design, benchmarking, model evaluation, and data quality.
- Working knowledge of model size, GPU memory, context length, training compute, inference performance, and cost trade-offs.
- Strong analytical and problem-solving skills with the ability to challenge assumptions and interpret experimental results.
- Ability to read technical research and translate new ideas into practical, testable experiments.
- Strong communication, documentation, curiosity, ownership, professionalism, and ability to learn quickly.

## Compensation - $23/hour

Who can apply?

"This internship is supported by the Government of Canada's Student Work Placement Program (SWPP)”. To be eligible for SWPP funding, applicants must meet all three conditions given below:

- be a Canadian citizen, permanent resident, or person granted refugee protection in Canada;
- be enrolled as a full-time student at a recognized Canadian post-secondary institution for the duration of the placement [Dec 2026 to Apr 2027]; and
- be legally entitled to work in Canada. International students are not eligible for SWPP-funded placements.

Why ProCogia:

At ProCogia, you will work at the intersection of cloud, data, AI, and enterprise technology. You will solve real problems across commercial and regulated environments, work directly with clients, and take meaningful ownership from infrastructure design through production. You will also help shape the platform foundation supporting ProCogia’s growing AI capabilities, giving you exposure to technologies and challenges that extend well beyond traditional DevOps. This is an environment where strong engineers can build, learn, take ownership, and make a visible impact. ProCogia is proud to be an equal-opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

## About ProCogia

## Company Overview
- **One-liner**: ProCogia is an AI-first business solutions consulting firm that helps organizations move from ambitious AI ideas to governed, production-ready outcomes.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: Vancouver, British Columbia, Canada
- **Founded**: 2013
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: Data Infrastructure and Analytics, AI Consulting, Data Engineering, Cloud & Governance
- **Target customers**: B2B, Enterprise clients across highly regulated industries including Life Sciences/Pharma, Telecommunications, Financial Services (BFSI), Public Sector, Technology, Retail (CPG), and Manufacturing & Logistics
- **Mission**: To shape a bright AI and data-powered future through expertise, innovation, and education by setting new standards in data, analytics, and AI, building smarter solutions through data-driven insights, and nurturing the next generation of data and AI professionals.
- **Purpose**: To increase the collective happiness of our world by becoming the employer of choice for data and AI professionals and delivering impactful, wisdom-driven insights that create long-term value for all stakeholders [procogia.com](https://procogia.com/about-us/).

## Products & Services
- **Data Engineering & Strategy**: Design, build, and operate scalable data pipelines and infrastructure for complex, governed environments.
- **AI/ML & Advanced Analytics**: Development of custom AI agents, accelerators, and machine learning models for production deployment.
- **Cloud & Governance**: Cloud architecture, migration, and data governance solutions ensuring security, compliance, and scalability.
- **BI & Insights**: Business intelligence consulting to deliver actionable, data-driven insights for decision-makers.
- **Consulting & Advisory**: High-touch partnership model guiding clients from pilot to production with responsible AI design.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: **149% headcount growth over the last 12 months** (as per their careers page); currently employs **43 people** (LinkedIn data shows -19.4% YoY change, likely reflecting restructuring or seasonal variation) [procogia.com](https://procogia.com/about-us/careers/) [linkedin.com](https://ca.linkedin.com/company/procogia)
- **Notable Investors/Partners**: Not publicly available; partners with clients across BFSI, Pharma, Public Sector, Tech, Telecom, CPG, and Manufacturing.
- **Growth Signals**: 
    - Active job postings increased **+400% year-over-year** [linkedin.com](https://ca.linkedin.com/company/procogia)
    - Recognized as a **Great Place to Work® in Canada (2024)** – ranked #60 in the "Less than 100 employees" category [greatplacetowork.ca](https://www.greatplacetowork.ca/en/certified-company/z4870188000009736848)
    - Named one of the **Best Workplaces in British Columbia (2023)**
    - Expanding presence across North America, India, and Ireland
- **Employee Rating**: 3.7/5.0 on LinkedIn (50 reviews), with breakdown: Work-Life 3.8, Compensation 3.9, Culture 3.6, Career 3.6 [linkedin.com](https://ca.linkedin.com/company/procogia)

## Competitive Advantages
- **Deep Regulated Industry Expertise**: Specializes in environments where accuracy, security, governance, and scalability are non-negotiable (Pharma/Life Sciences, Financial Services, Public Sector).
- **AI-First, Production-Ready Focus**: Moves clients beyond pilots to governed, production-grade AI outcomes, differentiating from firms that only offer strategy or basic implementation.
- **Prebuilt AI Agents & Accelerators**: Offers proprietary tools that speed up deployment, reducing time-to-value for clients.
- **High-Touch Partnership Model**: Emphasizes long-term, collaborative client relationships over transactional consulting.
- **Certified Great Place to Work®**: 89% of employees say it is a great place to work, compared to 62% at a typical Canadian company [greatplacetowork.ca](https://www.greatplacetowork.ca/en/certified-company/z4870188000009736848).

## Strategic Focus
- **Production-Ready AI**: Prioritizing safe, responsible, and scalable AI deployment in regulated industries.
- **Talent & Culture Growth**: Investing heavily in headcount (149% growth cited) and building a diverse, inclusive workforce with a strong emphasis on continuous learning.
- **Cross-Industry Expansion**: Serving a wide range of sectors (Pharma, Telecom, Tech, Retail, Financial Services) to provide consultants with varied experience.
- **Community Leadership**: Encouraging employees to become thought leaders through Meetups, conferences, blogs, and white papers [procogia.com](https://procogia.com/about-us/careers/).

## Why Work Here
- **Culture & Recognition**: Certified Great Place to Work® (2024) with 89% employee satisfaction. Values include Trust, Growth, Innovation, Excellence, and Ownership [greatplacetowork.ca](https://www.greatplacetowork.ca/en/certified-company/z4870188000009736848).
- **Professional Development**: Generous personal development budget for training, courses, or coaching. Emphasis on mentorship, continuous learning, and "growth mindset" [procogia.com](https://procogia.com/about-us/careers/).
- **Work Environment**: Described as diverse, close-knit, and supportive. Management is noted as approachable, competent, and trusting (minimal micromanagement) [linkedin.com](https://ca.linkedin.com/company/procogia).
- **Remote/Hybrid Policy**: Not explicitly stated, but job postings include remote options (e.g., "Senior Bioinformatics Consultant (Remote)"). Presence across North America, India, and Ireland suggests flexible working arrangements.
- **Notable Perks**: Competitive salary, generous benefits, ample opportunity for personal development, and a commitment to work-life balance (3.8/5.0 rating).
- **Diversity & Inclusion**: Committed to attracting team members from all backgrounds, nationalities, religions, races, gender identities, and sexual orientations. Aims for a balanced gender ratio [procogia.com](https://procogia.com/about-us/careers/).
- **Executive Leadership**: CEO Mehar Pratap Singh leads the firm. Key executives include Lisa Young (Head of Finance), Aura Telman (Head of People and Culture - departed March 2026), Bill Carney (CEO), and others [linkedin.com](https://ca.linkedin.com/company/procogia).

## Sources
1. [ProCogia Official Website](https://procogia.com/)
2. [ProCogia About Us](https://procogia.com/about-us/)
3. [ProCogia Careers Page](https://procogia.com/about-us/careers/)
4. [ProCogia LinkedIn Company Page](https://ca.linkedin.com/company/procogia)
5. [Great Place to Work® Canada - ProCogia Profile](https://www.greatplacetowork.ca/en/certified-company/z4870188000009736848)

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