AI Engineer

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US . We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India . Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise. We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you! Role: AI Engineer Contract Length: 6+ months Location: Hybrid – Phoenix, AZ Rate $70 to $75 per hour Overview: We are looking for an AI/ML Engineer to develop, implement, and scale machine learning and generative AI solutions. This position blends strong software engineering expertise with practical experience building applications powered by modern AI frameworks and large language models. Required Skills Software Engineering Proficient in Python and SQL; experience with Java or JavaScript is a plus Basic front-end knowledge including HTML and CSS Experience developing APIs using frameworks such as FastAPI Familiarity with containerization and deployment using Docker Machine Learning Fundamentals Hands-on experience developing and deploying machine learning models, including deep learning solutions Strong understanding of model selection, evaluation techniques, and performance tuning Experience operationalizing ML pipelines and monitoring model performance in production Frameworks & Tools Practical experience working with LLM APIs and orchestration tools such as LangChain or LangGraph Familiarity with platforms like Azure ML, Snowflake Cortex, and MLflow for managing the ML lifecycle Modern AI Concepts Knowledge and experience with: Vector databases and semantic search techniques Retrieval-Augmented Generation (RAG) Embeddings, chunking methods, and reranking strategies Frameworks used to evaluate LLM performance Tool usage and agent-based architectures Optimizing cost and latency for AI-driven workloads Ideal Candidate Demonstrates ownership across the full lifecycle, from initial prototype through production release Comfortable building scalable AI-driven systems that deliver measurable business outcomes Strong communicator who can clearly convey technical ideas in a business context Candidates with a combination of strong engineering fundamentals and hands-on generative AI experience, especially with RAG architectures and production-level LLM applications—will be particularly competitive. Minimum Qualifications Strong proficiency with Python, SQL, FastAPI, and Docker Experience integrating LLM APIs and working with at least one orchestration framework (LangChain or LangGraph) Exposure to enterprise AI platforms such as Azure ML, Snowflake Cortex, or MLflow MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.