AI Engineer II

AI/Machine Learning Engineer

Skillsoft is the global leader in eLearning. Trusted by the world's leading organizations, including 65% of the Fortune 500. Our 100,000+ courses, videos and books are accessed over 100 million times every month, across more than 100 countries. At Skillsoft, we believe knowledge is the fuel for innovation and innovation is the fuel for business growth. Join us in our quest to democratize learning and help individuals unleash their edge.

This role is for a junior to mid-level engineer. The successful candidate will work closely with more senior engineers who will mentor and guide them. You’ll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you’ll collaborate with internal and external teams to transform knowledge into a catalyst for growth—unleashing your edge while helping others do the same.

Responsibilities:

Hands-on AI/ML software engineer

Work with product owners and curators to understand requirements and guide new features

Collaborate to identify new feature impacts on existing services and teams

Research, prototype, and select appropriate COTS and in-house AI/ML technology and design

Collaborate with team to design, develop, and maintain supporting systems

Document designs and implementation to ensure consistency and alignment with standards

Create documentation including system and sequence diagrams Create appropriate data pipelines for AI/ML

Analyze, curate, cleanse, and split data

Utilize and apply generative AI for products and for daily productivity

Periodically explore new technologies and design patterns with proof-of-concept

Participate in developing best practices and improving operational processes

Present research and work to socialize and share knowledge across the organization

Environment, Tools & Technologies:

Agile/Scrum

Operating Systems – Mac, Linux

Python, JavaScript, Node.js

PyTorch, Tensorflow, Keras, LLMs (OpenAI GPT-X, Claude, embedding models)

Vector indexing/database, LangChain, AutoGen, RAG, Agents

APIs GraphQL, REST

Docker, Kubernetes

Amazon Web Services (AWS), MS Azure OpenAI

SQL (Postgres RDS/Aurora), NoSQL (Cassandra, Elasticsearch)

Messaging – Kafka, RabbitMQ, SQS

Monitoring – New Relic, Splunk

GitHub, IDE (your choice)

Skills & Qualifications:

2 years of relevant work experience and experience with generative AI and fine-tuning models

Ability to design and document APIs, data models, service interactions

Familiarity with and ability to explain:

o testing strategies – unit, integration, system

o system and API security techniques

o data privacy concerns

o microservices architecture

o vertical vs horizontal scaling

o Generative AI, NLP, DNN, LLMs, auto-encoders, etc.

Attributes for Success:

Proactive, Independent, Adaptable

Collaborative team player

Customer service minded with an ownership mindset

Excellent analytic and communication skills

Ability and desire to coach and mentor new and more junior developers

Innovative and problem-solving mindset

Passionate, curious, open to new ideas, and ability to research and learn new technologies