Penn Mutual

Helping people get stronger is a pretty good business to be in.

Senior Staff AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 1847H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

18 days ago

Salary

$148K - $190K / year

Bachelor Degree10 yrs expEnglishAWSCloudMicroservices

Job Description

• Design, implement, and maintain production AI services using AWS native technologies. • Build and operate retrieval augmented generation (RAG) pipelines. • Engineer LLM enabled APIs and workflows that integrate directly into enterprise applications. • Develop solutions for unstructured data and document intelligence. • Apply strong software engineering practices ensuring AI systems meet requirements for performance, scalability, security, cost efficiency, and resilience. • Partner with platform and operations teams to support production readiness and monitoring of AI workloads. • Collaborate closely with Architecture, Data, Platform, and Product teams. • Provide technical leadership through implementation, code reviews, and design guidance for AI related initiatives. • Mentor engineers and teams on applied AI engineering patterns and responsible AI practices. • Ensure AI solutions adhere to enterprise governance, security, privacy, and model risk standards.

Job Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in software engineering, with 3–5+ years focused on AI/ML, data intensive, or intelligent systems.
  • 2–3+ years of hands on experience delivering AI/ML solutions on AWS.
  • Demonstrated experience with enterprise scale LLM based systems, including retrieval augmented generation (RAG) and vector search.
  • Strong proficiency in cloud native, serverless, and event driven architectures.
  • Experience with MLOps / DataOps concepts, infrastructure as code, and production observability.
  • Deep technical expertise in software architecture, cloud computing, microservices, API design, and data architecture.
  • Expertise in cloud native and serverless integration patterns.
  • Strong understanding of governance, metadata management, catalogs, lineage, and access controls.
  • Hands on experience with unstructured data and document intelligence solutions.

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

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