Gen AI- Platform 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!

Job Title: GenAI- Platform engineer

Location: Remote

Employment Type:Contract

Pay Range: 39 lpa- 45 lpa ( DOE)

Role Description:

We are seeking a highly skilled and motivated Software Engineer with experience in GenAI and cloud- native systems to join our team. The ideal candidate will have a strong background in building production platforms and services that enable data science teams to leverage GenAI capabilities at scale. This role involves designing building and maintaining the core infrastructure and service layers that power GenAI workflows across the organization. You will collaborate with data scientists and cross-functional teams to understand their needs and deliver reliable scalable platform services that accelerate AI-driven business outcomes.

Job Experience Requirements:

Qualifications:

Education: Bachelors or Masters in Computer Science / Software Engineering / related field or equivalent professional experience.

Experience: 3 years of experience in software engineering platform development or a related field.

Technical Skills:

o Strong proficiency in Python with experience building production-grade services and libraries

o Experience building production data systems (ETL / data processing / ML inference workflows)

o Cloud platform experience (AWS / GCP) including services like S3/GCS Lambda/Cloud Functions SQS/Pub-Sub and managed databases

o Proficiency with containerization technologies (Docker)

o Experience integrating LLM APIs (Azure OpenAI OpenAI Anthropic Vertex AI Bedrock) into applications including prompt engineering token management and error handling

o Practical experience developing CI/CD workflows - experience shipping code to production environments regularly

o Strong software engineering fundamentals: version control code review testing and documentation

Soft Skills:

Excellent problem-solving abilities strong communication skills and the ability to work effectively in a team environment. Ability to translate data science team needs into well- designed platform abstractions.

Additional Skills (Preferred):

o Kubernetes experience (EKS GKE) - deploying scaling and troubleshooting containerized workloads

o Infrastructure-as-code familiarity (Terraform / Pulumi / CloudFormation)

o Vector database / RAG experience (Pinecone / Weaviate / pgvector ChromaDB)

o Knowledge of Deep Learning techniques model architectures and parameter fine- tuning

o Familiarity with GenAI concepts including foundation models and transformer architecture o Experience with data manipulation and analysis using libraries such as pandas NumPy and SciPy o Experience with R or other statistical programming languages

Job Responsibilities:

Platform Development: Design build and maintain scalable platform services and APIs that enable data scientists to integrate GenAI capabilities into their workflows.

Service Architecture: Architect and implement shared GenAI service layers - including LLM orchestration prompt management model routing and inference pipelines - that the broader data science team can leverage.

Infrastructure & Reliability: Own the cloud infrastructure containerization and deployment pipelines that support GenAI workloads ensuring high availability observability and cost efficiency.

Developer Experience:

Build well-documented SDKs libraries and tooling that make it easy for data scientists to consume platform services without deep infrastructure knowledge.

Collaboration: Work closely with data scientists ML engineers and product teams to understand their needs gather requirements and translate them into robust platform features.

CI/CD & Operations: Develop and maintain CI/CD pipelines automated testing and monitoring to ensure reliable repeatable deployments of platform services to production.

Data Pipeline Support: Build and maintain ETL and data processing pipelines that feed into

GenAI services ensuring data quality and integrity at scale.

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.