AI Developer

Summary

SunCore Digital is seeking an experienced AI Developer to build intelligent systems for client-facing and internal automation tools. The role involves developing and deploying AI and machine learning solutions, integrating large language models, architecting data and retrieval workflows, and optimizing production systems for personalization, risk modeling, forecasting, and decision support.

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

Skills

• ·         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
• • 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

Qualifications

Must Haves

• ·         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

Nice to Haves

• • 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

Benefits

• 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