Synergyassure, Inc

Synergyassure, Inc

AI/ML Engineer

Erie, Pennsylvania, USA · Senior · Contract

Sponsorship not specifiedDetected 165 days ago
PythonFastAPIVector DatabasesAWSGCPAzureCloud PlatformsMachine LearningDeep LearningNLPLLMsRAGAgentic AILangGraphAI OrchestrationA/B TestingLeadership

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

70% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 6 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: A T & T · BACTOLAC PHARMACEUTICALS INC · M E T A

Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Job Title: AI/ML Engineer Location: Erie, PA Skills: 9+ years of professional experience in AI/ML engineering (candidates below this experience level will not be considered).

Responsibilities

  • Design and develop scalable Agentic AI solutions, including multi-agent workflows and autonomous AI systems.
  • Build and optimize RAG pipelines, including advanced implementations such as Graph RAG for enterprise knowledge retrieval.
  • Develop LLM-powered applications using: LangChain / LangGraph / Vector databases and retrieval frameworks.
  • Collaborate with cross-functional teams to translate business needs into AI-driven technical solutions.
  • Lead solution development for client-facing AI transformation initiatives.
  • Mentor junior engineers and contribute to building a strong AI innovation culture.
  • Develop LLM-powered applications using:

Skills

  • 9+ years of professional experience in AI/ML engineering (candidates below this experience level will not be considered).
  • Strong proficiency in Python (advanced level required).
  • Proven expertise in: LangChain, LangGraph, RAG implementations, Graph RAG.
  • Knowledge Graph-based AI systems.
  • Solid foundation in Machine Learning, Deep Learning, and NLP.
  • Experience deploying AI/ML solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Comfortable working in environments requiring fast execution, experimentation, and continuous learning.
  • Client-facing experience and technical leadership are strong pluses.
  • Proven expertise in:
  • LangChain, LangGraph, RAG implementations, Graph RAG.
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This listing is sourced directly from Synergyassure, Inc's careers page and normalized into a canonical job model.