SunCore Digital
AI Developer
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About the Role
SunCore Digital is seeking an experienced AI Developer to design, build, and deploy intelligent systems that power our next generation of client-facing and internal automation tools. This role is ideal for someone who thrives at the intersection of software engineering, machine learning, and product strategy — someone who can translate complex business logic into scalable, production-ready AI solutions.
You will work closely with engineering, product, and leadership to architect AI modules that support personalized recommendations, risk modeling, workflow automation, and data-driven insights across our unified workspace platform.
Key Responsibilities
- Design, build, and deploy AI-powered features using Python, modern ML frameworks, and cloud-native tooling.
- Develop and integrate LLM-based systems (OpenAI, Azure OpenAI, Hugging Face, etc.) into production applications.
- Architect data pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) workflows.
- Collaborate with product and engineering to translate business requirements into technical AI solutions.
- Build models and inference systems that support personalization, risk scoring, forecasting, and decision support.
- Optimize model performance, latency, and cost across cloud environments.
- Implement monitoring, evaluation, and continuous improvement processes for deployed models.
- Ensure security, privacy, and compliance in all AI-related data handling.
- Contribute to architectural decisions, documentation, and best practices for AI development.
- Stay current with emerging AI technologies and propose new capabilities that strengthen our platform.
- Work with structured and unstructured data, ensuring data quality, versioning, and evaluation readiness.
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Required Skills & Experience
- 4+ years of experience in AI/ML engineering or applied machine learning.
- Strong proficiency in Python, including frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
- Experience integrating LLMs, embeddings, and vector databases (Pinecone, Weaviate, Redis, etc.).
- Hands-on experience with RAG pipelines, prompt engineering, and model fine-tuning.
- Solid understanding of data structures, algorithms, and API development.
- Experience deploying AI systems in cloud environments (Azure, AWS, or GCP).
- Familiarity with DevOps practices: Docker, CI/CD, monitoring, and observability.
- Strong problem-solving skills and ability to work in a fast-paced, remote-first environment.
- Excellent communication skills and ability to explain complex concepts to non-technical stakeholders.
- Experience designing end-to-end AI systems, from data ingestion to inference and monitoring.
- Experience with model evaluation, testing, and defining quality metrics for AI systems.
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Preferred Qualifications
- Experience with financial modeling, risk scoring, or recommendation systems.
- Background in NLP, time-series forecasting, or reinforcement learning.
- Experience building AI-powered user experiences in web or mobile applications.
- Knowledge of data governance, privacy, and compliance frameworks.
- Prior experience in a startup or high-growth environment.
What We Offer
- Competitive compensation and performance-based bonuses
- Profit-share participation
- Remote-first culture with flexible working hours
- Opportunity to shape a first-to-market AI platform
- Collaborative, high-ownership environment
- Professional development support and growth opportunities
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