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
Rate : $70 to $75 /hr
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.
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...
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
Rate : $70 to $75 /hr
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.
Job Location:
Monthly Salary:
Posted on:
Vacancies:
