At Skillsoft, we propel organizations and individuals to grow together through transformative learning experiences. Trusted by 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. We believe every team member has the potential to be AMAZING. Join us in our mission to democratize learning and help people unleash their edge.
Role Overview
As an AI Engineer II, you will be part of a team building cutting-edge AI and generative AI-powered solutions that transform the way millions of learners engage with content. This role is ideal for junior to mid-level engineers with hands-on AI/ML expertise who want to collaborate with senior mentors and make an impact by designing intelligent systems, agentic workflows, and data-driven experiences.
Key Responsibilities
- Develop and implement AI/ML solutions, including generative AI models.
- Collaborate with product owners and SMEs to gather requirements and design features.
- Research, prototype, and evaluate COTS and in-house AI/ML technologies.
- Design, develop, and maintain supporting systems and APIs (REST/GraphQL).
- Build data pipelines for AI/ML, including data curation, cleansing, and processing.
- Work with vector databases, embeddings, RAG, LangChain, AutoGen, and AI agents.
- Apply LLMs (GPT-X, Claude, etc.) for product features and internal productivity.
- Ensure solutions meet scalability, security, and data privacy requirements.
- Participate in Agile/Scrum ceremonies, knowledge sharing, and technical documentation.
- Explore emerging technologies, create proof-of-concepts, and contribute to best practices.
Environment, Tools & Technologies
- Languages & Frameworks: Python, JavaScript, Node.js, TensorFlow, PyTorch, Keras
- Generative AI: LLMs (GPT-X, Claude), LangChain, RAG, AutoGen, Agents
- Databases: SQL (Postgres RDS/Aurora), NoSQL (Cassandra, Elasticsearch), Vector DBs
- Infrastructure: Docker, Kubernetes, AWS, Azure OpenAI, Kafka, RabbitMQ, SQS
- Monitoring: New Relic, Splunk
- Collaboration Tools: GitHub, IDE of choice, Agile/Scrum practices
Skills & Qualifications
- 2+ years of relevant experience in AI/ML development with exposure to generative AI.
- Proficiency in model fine-tuning, embeddings, and NLP techniques.
- Ability to design and document APIs, data models, and service interactions.
- Strong understanding of:
- Testing strategies (unit, integration, system)
- System & API security techniques
- Data privacy and compliance
- Microservices architecture and scaling strategies
- Familiarity with deep learning architectures (DNN, auto-encoders, LLMs).