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!
AI/ML ENGINEER - AGENT DEVELOPMENT
Location: Remote in LATAM
Duration: 3 months
Pay rate: $35 - 40/hr on W2
Position Overview
Design develop and optimize AI agents that automatically generate production-ready data pipelines. Focus on prompt engineering LLM integration and agent orchestration to create intelligent systems that understand requirements and produce high-quality code.
Key Responsibilities
Agent Architecture & Design
- Design multi-agent systems (Requirements Intelligence Prototype Acceleration Data Engineering agents)
- Architect agent communication protocols and data flow between agents
- Define agent capabilities inputs outputs and success criteria
- Create agent orchestration workflows and dependency management
Prompt Engineering & LLM Integration
- Develop sophisticated prompts for Claude API to generate production code (PySpark SQL Python)
- Implement few-shot learning with code pattern examples in Knowledge Base
- Optimize prompt construction for token efficiency and output quality
- Fine-tune prompts to achieve >95% first-time code compilation success rate
Code Generation & Quality
- Build systems that generate Bronze/Silver/Gold data pipeline code
- Implement code validation linting (Pylint) and formatting (Black) pipelines
- Create automated test generation for unit tests and integration tests
- Develop query optimization systems (broadcast hints Z-ORDER partitioning)
Knowledge Base & Pattern Management
- Design and maintain vector database with 50 reusable code patterns
- Implement semantic search for pattern retrieval using embeddings
- Build pattern evaluation system to track success rates and performance
- Create feedback loops for continuous pattern improvement
Agent Performance & Optimization
- Monitor agent success rates processing times and output quality
- Optimize Claude API usage to minimize costs ($1.20-$2.40 per pipeline target)
- Implement caching strategies to reduce redundant API calls
- Build A/B testing framework for prompt variations
Required Skills
Must Have:
- 3-5 years experience with LLMs (GPT-4 Claude Llama) and prompt engineering
- Strong Python programming (async/await decorators type hints)
- Experience with API integration (REST Claude API OpenAI API)
- Understanding of code generation and Abstract Syntax Trees (AST)
- Knowledge of vector databases (Pinecone Weaviate ChromaDB)
Nice to Have:
- Experience with LangChain LlamaIndex or similar frameworks
- Knowledge of PySpark and Apache Spark
- Familiarity with data warehouse patterns (Medallion architecture Star Schema)
- Experience with Delta Lake and Databricks
- Background in reinforcement learning from human feedback (RLHF)
Tools & Technologies
- LLMs: Claude Sonnet 4 Claude Opus 4
- Languages: Python 3.10 SQL PySpark
- Frameworks: LangChain Pydantic FastAPI
- Databases: Vector DB (Pinecone/Weaviate) PostgreSQL
- MLOps: MLflow Weights & Biases
- Version Control: Git GitHub Actions
- Cloud: Databricks AWS/Azure/GCP
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!
AI/ML ENGINEER - AGENT DEVELOPMENT
Location: Remote in LATAM
Duration: 3 months
Pay rate: $35 - 40/hr on W2
Position Overview
Design develop and optimize AI agents that automatically generate production-ready data pipelines. Focus on prompt engineering LLM integration and agent orchestration to create intelligent systems that understand requirements and produce high-quality code.
Key Responsibilities
Agent Architecture & Design
- Design multi-agent systems (Requirements Intelligence Prototype Acceleration Data Engineering agents)
- Architect agent communication protocols and data flow between agents
- Define agent capabilities inputs outputs and success criteria
- Create agent orchestration workflows and dependency management
Prompt Engineering & LLM Integration
- Develop sophisticated prompts for Claude API to generate production code (PySpark SQL Python)
- Implement few-shot learning with code pattern examples in Knowledge Base
- Optimize prompt construction for token efficiency and output quality
- Fine-tune prompts to achieve >95% first-time code compilation success rate
Code Generation & Quality
- Build systems that generate Bronze/Silver/Gold data pipeline code
- Implement code validation linting (Pylint) and formatting (Black) pipelines
- Create automated test generation for unit tests and integration tests
- Develop query optimization systems (broadcast hints Z-ORDER partitioning)
Knowledge Base & Pattern Management
- Design and maintain vector database with 50 reusable code patterns
- Implement semantic search for pattern retrieval using embeddings
- Build pattern evaluation system to track success rates and performance
- Create feedback loops for continuous pattern improvement
Agent Performance & Optimization
- Monitor agent success rates processing times and output quality
- Optimize Claude API usage to minimize costs ($1.20-$2.40 per pipeline target)
- Implement caching strategies to reduce redundant API calls
- Build A/B testing framework for prompt variations
Required Skills
Must Have:
- 3-5 years experience with LLMs (GPT-4 Claude Llama) and prompt engineering
- Strong Python programming (async/await decorators type hints)
- Experience with API integration (REST Claude API OpenAI API)
- Understanding of code generation and Abstract Syntax Trees (AST)
- Knowledge of vector databases (Pinecone Weaviate ChromaDB)
Nice to Have:
- Experience with LangChain LlamaIndex or similar frameworks
- Knowledge of PySpark and Apache Spark
- Familiarity with data warehouse patterns (Medallion architecture Star Schema)
- Experience with Delta Lake and Databricks
- Background in reinforcement learning from human feedback (RLHF)
Tools & Technologies
- LLMs: Claude Sonnet 4 Claude Opus 4
- Languages: Python 3.10 SQL PySpark
- Frameworks: LangChain Pydantic FastAPI
- Databases: Vector DB (Pinecone/Weaviate) PostgreSQL
- MLOps: MLflow Weights & Biases
- Version Control: Git GitHub Actions
- Cloud: Databricks AWS/Azure/GCP
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.
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