The AI Engineer job at Dots Connect is an excellent opportunity for professionals looking to build a career in artificial intelligence and advanced technologies. This full-time remote position allows candidates to work from anywhere while contributing to innovative AI-driven projects. It is ideal for individuals with a strong technical background who are interested in developing intelligent systems and working with modern machine learning technologies.
As an AI Engineer at Dots Connect, selected candidates will be responsible for designing, developing, and implementing AI models and data-driven solutions. The role may involve working with machine learning algorithms, analyzing data patterns, and improving system performance through advanced automation techniques. Candidates should have strong analytical skills and the ability to solve complex technical problems while working in a remote team environment.
Overview
| Job | AI Engineer |
| Organization | Dots Connect |
| Work Type | Full time / Remote |
| Qualification | Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field |
Responsibilities
- Build and implement AI/ML features end-to-end: data ingestion, feature engineering, model training, evaluation, and deployment
- Develop and maintain RAG pipelines and LLM-powered applications using vector stores, embeddings, and orchestration frameworks
- Create AI agents and integrations using Model Context Protocol (MCP) to connect LLMs with internal tools and data sources
- Build classification models for brand safety, fraud detection, and content categorization to improve targeting and reporting
- Train prediction and optimization models for adtech/martech needs including CTR prediction, conversion forecasting, pricing optimization, and campaign performance
- Develop backend services in Python that expose AI capabilities via APIs to product and frontend teams
- Experiment with different model architectures (tree-based, neural networks, LLMs) and evaluate trade-offs on accuracy, latency, and cost
- Implement monitoring and evaluation systems, including A/B tests, metrics tracking, and model performance dashboards
- Collaborate with data, platform, and product teams to integrate AI/ML solutions into core workflows
- Stay current with the AI/ML ecosystem and bring practical ideas to the team
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field
- 2-5 years of professional experience in software engineering, ML engineering, or data science
- Strong proficiency in Python and experience with ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow, or similar)
- Hands-on experience building applications with LLMs, prompt engineering, and RAG patterns
- Solid understanding of machine learning fundamentals, statistics, and model evaluation
- Experience with SQL and working with structured/unstructured data at scale
- Familiarity with APIs, backend development, and software engineering best practices (Git, testing, CI/CD)
- Understanding of cloud platforms (AWS, GCP, or Azure) and containerization
- Experience with vector databases, search technologies, or big data tools (Spark, Airflow, Kafka) is a plus
- Exposure to adtech/martech domains (advertising, marketing analytics, campaign optimization) is a plus
- Strong communication skills and comfort working in a distributed, cross-functional team
- Flexible with working hours to enable collaboration across time zones
This Dots Connect AI Engineer remote job is suitable for candidates searching for AI jobs in 2026, remote engineering jobs, machine learning jobs, or full-time work-from-home tech jobs. The position offers valuable experience in artificial intelligence and provides an opportunity to work on cutting-edge technologies in a flexible remote setup.
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