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HomeCompaniesHccz Fa Em3 Oraclecloud Com CX 2Senior Software Engineer

Senior Software Engineer

Hccz Fa Em3 Oraclecloud Com CX 2 · Hoboken, NJ, United States · On Site · Active · $130,000–$150,000 / year · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyHccz Fa Em3 Oraclecloud Com CX 2
TitleSenior Software Engineer
Normalized title-
Department / teamTechnology
LocationHoboken, NJ, United States
Work modelOn Site
Employment typeFull Time
Salary$130,000–$150,000 / year
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-05 / 2026-06-06
Changed / last seen2026-06-06 / 2026-06-06

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City jobsActive postings in Hoboken.Open
Department jobsActive postings in Technology.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHccz Fa Em3 Oraclecloud Com CX 2
Sourceea09472b-6ad7-46d8-a701-bee6578a6d7c
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Senior Software Engineer – AI/Agentic Systems Pearson Learning Studio (PLS) – Guided Study | Hoboken, NJ Pearson Learning Studio is seeking a Senior Software Engineer to join the REIA squad within the PLS team to help design and build next-generation AI-powered learning experiences using Agentic AI frameworks and LLM-based architectures. This role is focused on developing intelligent, scalable AI systems with strong emphasis on Agentic workflows, LangGraph-based orchestration, state management, prompt engineering, and Retrieval-Augmented Generation (RAG). The ideal candidate will have deep experience building AI-driven applications using Python and modern AI orchestration frameworks. Key Responsibilities AI & Agentic System Development Design and implement Agentic AI workflows using frameworks such as LangGraph and LangChain. Develop and manage multi-step AI orchestration pipelines with robust state management. Integrate and optimize Large Language Models (LLMs) for intelligent learning experiences. Design and implement RAG pipelines using embeddings and vector databases. Create, evaluate, and optimize prompts to improve response quality, reasoning, and reliability. Build scalable AI services and APIs using Python. Platform & Engineering Develop production-grade backend services and AI integration layers. Contribute to scalable system architecture, observability, and performance optimization. Collaborate with engineering and product teams to translate business requirements into AI-driven solutions. Troubleshoot and resolve production issues with ownership and urgency. Agile Collaboration & Technical Leadership Participate actively in Agile/Scrum ceremonies and technical planning sessions. Contribute to architecture reviews, technical design discussions, and engineering best practices. Mentor junior engineers and support team-wide technical growth. Required Qualifications 6–8 years of software engineering experience. Strong hands-on experience with Python development. Experience building AI/LLM-powered applications in production environments. Hands-on experience with LangGraph, LangChain, or similar AI orchestration frameworks. Strong understanding of Agentic AI concepts, workflow orchestration, and state management. Experience implementing RAG pipelines, embeddings, and vector databases. Strong prompt engineering skills and understanding of LLM behavior optimization. Experience building scalable APIs and distributed systems. Strong analytical, debugging, and problem-solving skills. Excellent collaboration and communication skills. Bachelor’s degree in Computer Science, Engineering, or related field. Preferred Qualifications Experience with OpenAI, Anthropic, or other enterprise LLM platforms. Familiarity with AI observability, evaluation frameworks, and guardrails. Exposure to AWS, Azure, or GCP cloud platforms. Experience in EdTech or content-driven platforms. Experience working within Agile product delivery teams. Applications will be accepted through June 1. This window may be extended depending on business needs. Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows: The full-time salary range is between $130,000 - $150,000 This position is eligible to participate in an annual incentive program, and information on benefits offered is here .

Full job record

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Org IDeeac3b15-6e1b-4027-8be9-03b5058303dc
Source IDea09472b-6ad7-46d8-a701-bee6578a6d7c
Board IDea09472b-6ad7-46d8-a701-bee6578a6d7c
Provideroracle_hcm
Provider Job Key24498
TitleSenior Software Engineer
Normalized Title
Statusactive
Activeyes
Location TextHoboken, NJ, United States
DepartmentTechnology
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNJ
CityHoboken
Salary Rawsalary range is between $130,000 - $150,000 This position is eligible to participate in an annual incentive program, and in
Salary Min130,000
Salary Max150,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://hccz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/24498
Apply URLhttps://hccz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/24498
First Seen At2026-06-06 11:05:33Z
Last Seen At2026-06-06 11:05:33Z
Last Checked At2026-06-06 11:05:33Z
Last Changed At2026-06-06 11:05:33Z
Inactive At
Source Posted At2026-06-05 16:18:26Z
Source Updated At
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The ideal candidate will have deep experience building AI-driven applications using Python and modern AI orchestration frameworks.</p><p class=\"p2\">&nbsp;</p><p class=\"p1\"><strong>Key Responsibilities</strong></p><p class=\"p2\"><strong>AI &amp; Agentic System Development</strong></p><ul class=\"ul1\"><li class=\"li2\">Design and implement Agentic AI workflows using frameworks such as LangGraph and LangChain.</li><li class=\"li2\">Develop and manage multi-step AI orchestration pipelines with robust state management.</li><li class=\"li2\">Integrate and optimize Large Language Models (LLMs) for intelligent learning experiences.</li><li class=\"li2\">Design and implement RAG pipelines using embeddings and vector databases.</li><li class=\"li2\">Create, evaluate, and optimize prompts to improve response quality, reasoning, and reliability.</li><li class=\"li2\">Build scalable AI services and APIs using Python.</li></ul><p class=\"p3\">&nbsp;</p><p class=\"p2\"><strong>Platform &amp; Engineering</strong></p><ul class=\"ul1\"><li class=\"li2\">Develop production-grade backend services and AI integration layers.</li><li class=\"li2\">Contribute to scalable system architecture, observability, and performance optimization.</li><li class=\"li2\">Collaborate with engineering and product teams to translate business requirements into AI-driven solutions.</li><li class=\"li2\">Troubleshoot and resolve production issues with ownership and urgency.</li></ul><p class=\"p3\">&nbsp;</p><p class=\"p2\"><strong>Agile Collaboration &amp; Technical Leadership</strong></p><ul class=\"ul1\"><li class=\"li2\">Participate actively in Agile/Scrum ceremonies and technical planning sessions.</li><li class=\"li2\">Contribute to architecture reviews, technical design discussions, and engineering best practices.</li><li class=\"li2\">Mentor junior engineers and support team-wide technical growth.</li></ul><p class=\"p3\">&nbsp;</p><p class=\"p2\"><strong>Required Qualifications</strong></p><ul class=\"ul1\"><li class=\"li2\">6–8 years of software engineering experience.</li><li class=\"li2\">Strong hands-on experience with Python development.</li><li class=\"li2\">Experience building AI/LLM-powered applications in production environments.</li><li class=\"li2\">Hands-on experience with LangGraph, LangChain, or similar AI orchestration frameworks.</li><li class=\"li2\">Strong understanding of Agentic AI concepts, workflow orchestration, and state management.</li><li class=\"li2\">Experience implementing RAG pipelines, embeddings, and vector databases.</li><li class=\"li2\">Strong prompt engineering skills and understanding of LLM behavior optimization.</li><li class=\"li2\">Experience building scalable APIs and distributed systems.</li><li class=\"li2\">Strong analytical, debugging, and problem-solving skills.</li><li class=\"li2\">Excellent collaboration and communication skills.</li><li class=\"li2\">Bachelor’s degree in Computer Science, Engineering, or related field.<br>&nbsp;</li></ul><p class=\"p2\"><strong>Preferred Qualifications</strong></p><ul class=\"ul1\"><li class=\"li2\">Experience with OpenAI, Anthropic, or other enterprise LLM platforms.</li><li class=\"li2\">Familiarity with AI observability, evaluation frameworks, and guardrails.</li><li class=\"li2\">Exposure to AWS, Azure, or GCP cloud platforms.</li><li class=\"li2\">Experience in EdTech or content-driven platforms.</li><li class=\"li2\">Experience working within Agile product delivery teams.</li></ul><p>&nbsp;</p><p><i>Applications will be accepted through June 1. This window may be extended depending on business needs.&nbsp;</i></p><div><p><i>Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:&nbsp; &nbsp;</i></p></div><div><p><i>The full-time salary range is between $130,000 - $150,000</i></p></div><div><p><i>This position is eligible to participate in an annual incentive program, and information on benefits offered is </i><a href=\"https://nam02.safelinks.protection.outlook.com/?url=https://pearsonbenefitsus.com/&amp;data=04|01|[email protected]|2c256513c79f4679be7c08d9e7287ebb|8cc434d797d047d3b5c514fe0e33e34b|0|0|637794983376381246|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000&amp;sdata=t1YQPUL7BgoclUd7yE2i86QAirLf4z3z8OEWgr42q7c=&amp;reserved=0\" target=\"_blank\" rel=\"nofollow\"><i><u>here</u></i></a><i>.</i></p></div>",
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