About the job

Type: Full Time

Location: Hybrid

Minimum qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• 3+ years of experience in AI/ML development and integration.
• Proven experience with prompt engineering, LLMs, and autonomous agent creation (e.g., OpenAI, GPT models).
• Experience with cloud platforms such as AWS, GCP, or Azure, including AI and ML services.
• Proficiency in programming languages such as Python, Java, or other relevant languages for AI/ML development.
• Hands-on experience with fine-tuning models, managing datasets, and training custom models.
• Knowledge of NLP (Natural Language Processing), RL (Reinforcement Learning), RAG (Retrieval Augmented Generation) and generative AI techniques.
• Familiarity with AI infrastructure setup, including orchestration, monitoring, and performance optimization.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred qualifications:

• Experience with SaaS platforms and understanding of sourcing platforms.
• Familiarity with DevOps tools like Docker and GitHub.
• Strong communication skills and ability to work in a collaborative, cross-functional team.

About The Role:

As our AI Integration Engineer, you’ll take full ownership of our AI initiative, driving its evolution across both customer-facing features and internal tools. This is not a research or model-building role—we’re looking for someone who thrives on application-level problem-solving and can build real, working solutions with AI. You’ll be responsible for shaping the AI roadmap, strengthening the foundations we’ve laid, and creating new integration points throughout the platform. Your focus will span everything from intelligent automation and agent design to enabling scalable prompt engineering and working with fine-tuned models.

This is a high-impact, hands-on role for someone who understands AI deeply, knows how to implement it pragmatically, and is excited to lead the AI push for the entire company.

Responsibilities:

• Own the entire AI initiative at Sourcing Value—from strategy to execution—serving as the central driver of AI adoption across the product and internal workflows.
• Champion AI-assisted coding, planning, designing, and automation practices across all engineering and product teams.
• Strengthen and expand the foundational AI architecture and integration points already in place.
• Lead the integration of LLMs, RAG systems, and autonomous agents into our SaaS platform and internal systems.
• Build and maintain tools that leverage AI for business use cases, particularly in the raw material sourcing domain.
• Design and implement prompt engineering capabilities that empower non-technical users to create and manage AI prompts effectively.
• Plan and execute the integration of fine-tuned and custom-trained AI/ML models as needed.
• Collaborate closely with product, QA, and design teams to align AI features with business goals and customer needs.
• Ensure performance, scalability, and security of all AI-powered components.
• Monitor AI services in production and optimize performance continuously.
• Document AI architecture, processes, and learnings to support internal alignment and future scaling.
• Stay current with AI trends, tools, and APIs—proactively recommending and experimenting with new approaches.