AI/ML Engineer — Agentic AI Builder

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 — Agentic AI Builder ABOUT THE ROLE An AI/ML Engineer building and operating agentic AI systems on an enterprise-scale claims transformation program for a major U.S. healthcare payer. Working within an architect-led delivery pod, you will implement agents, RAG pipelines, ontology-backed knowledge graphs,and event-driven services that automate the healthcare claims life cycle: from intake and adjudication through payment and denial management. This is a hands-on build role for an engineer who ships production-grade, observable, compliant systems,not prototypes, in a regulated PHI environment. WHAT YOU'LL DO • Implement agents using Strands SDK (or equivalent) on Bedrock AgentCore Runtime including deployment, invocation, Memory, Identity, and Observability. • Design and build RAG architectures on Amazon Bedrock Knowledge Bases and vector stores,with prompts tuned for healthcare and claims-domain semantics. • Build and query the ontology layer knowledge graphs and graph databases (e.g., Amazon Neptune)that encode claims concepts, rules, and relationships — and wire it into agent retrieval so agents ground on accurate, connected data rather than isolated records. • Design Model Context Protocol(MCP) servers and downstream API aggregation. • Implement multi-agent orchestration patterns:sequential, parallel, and supervisor. • Build event-driven pipelines: a sync processing, Kafka producers and consumers, dead-letter queues, and retry/backoff. • Develop backend services in Python, including Lambda functions and Fast API-based REST integrations. • Manage claim state and audit trails in DynamoDB; handle PHI with KMS encryption and least-privilege IAM tied to Agent Core Identity. • Instrument agents for tracing,monitoring, and debugging via Agent Core Observability. • Ship throughCI/CD with multi-environment promotion (dev → test → prod). REQUIRED QUALIFICATIONS • 5+ years of AI/ML design and development experience. • 2+ years of hands-on Agentic AI development experience. • Amazon Bedrock:model invocation, prompt engineering, and retrieval-augmented generation (RAG). • Bedrock AgentCore Runtime: agent deployment/invocation, Memory,Identity, Observability, Gateway,and Registry. • Multi-agent orchestration patterns (sequential, parallel, supervisor) and Model Context Protocol (MCP) server design. • Working experience with the ontology layer for AI knowledge graphs and graph databases (e.g., Amazon Neptune, Neo4j, RDF/OWL) and query languages (SPARQL, Gremlin, or Cypher) — to map business concepts, rules, and relationships for accurate agent grounding. • Strong Python engineering: Kafka producers/consumers, Lambda,and FastAPI / REST integration. • Event-driven architecture: async pipelines, DLQs, and retry/backoff. • AWS:EKS, Lambda, S3, SQS, EventBridge, DynamoDB, Aurora RDS, CloudWatch, and Step Functions. • Infrastructure-as-Code with Terraform; CI/CD with Git Hub Actions and multi-environment promotion. • Data and compliance: DynamoDB for claim state and audit trail, S3, HIPAA / SOC 2 patterns for PHI handling,KMS encryption, and least-privilege IAM. PREFERRED QUALIFICATIONS • Healthcare claims domain experience and LLM prompt design tuned to claims semantics. • Experience with the Kiro tool: spec-driven development, agent code generation, IaC generation, and CI/CD scaffolding. 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.