Home › Companies › Hccz Fa Em3 Oraclecloud Com CX 2 › Senior 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
| Field | Value |
|---|---|
| Company | Hccz Fa Em3 Oraclecloud Com CX 2 |
| Title | Senior Software Engineer |
| Normalized title | - |
| Department / team | Technology |
| Location | Hoboken, NJ, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | $130,000–$150,000 / year |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-05 / 2026-06-06 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hccz Fa Em3 Oraclecloud Com CX 2. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Hoboken. | Open |
| Department jobs | Active postings in Technology. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hccz Fa Em3 Oraclecloud Com CX 2 |
| Source | ea09472b-6ad7-46d8-a701-bee6578a6d7c |
| ATS provider | Oracle 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 ID | eeac3b15-6e1b-4027-8be9-03b5058303dc |
| Source ID | ea09472b-6ad7-46d8-a701-bee6578a6d7c |
| Board ID | ea09472b-6ad7-46d8-a701-bee6578a6d7c |
| Provider | oracle_hcm |
| Provider Job Key | 24498 |
| Title | Senior Software Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Hoboken, NJ, United States |
| Department | Technology |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | NJ |
| City | Hoboken |
| Salary Raw | salary range is between $130,000 - $150,000 This position is eligible to participate in an annual incentive program, and in |
| Salary Min | 130,000 |
| Salary Max | 150,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://hccz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/24498 |
| Apply URL | https://hccz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/24498 |
| First Seen At | 2026-06-06 11:05:33Z |
| Last Seen At | 2026-06-06 11:05:33Z |
| Last Checked At | 2026-06-06 11:05:33Z |
| Last Changed At | 2026-06-06 11:05:33Z |
| Inactive At | — |
| Source Posted At | 2026-06-05 16:18:26Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=hccz.fa.em3.oraclecloud.com|CX_2/date=2026-06-06/2026-06-06T11-05-02-927Z-df23b8e8f30f2b455408252fa192d7dca3a45b20e1a9e3db6053d2788eccc750.json |
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"ExternalDescriptionStr": "<h3>Senior Software Engineer – AI/Agentic Systems</h3><p class=\"p1\"><strong>Pearson Learning Studio (PLS) – Guided Study | Hoboken, NJ</strong></p><p class=\"p2\">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.</p><p class=\"p2\">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.</p><p class=\"p2\"> </p><p class=\"p1\"><strong>Key Responsibilities</strong></p><p class=\"p2\"><strong>AI & 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\"> </p><p class=\"p2\"><strong>Platform & 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\"> </p><p class=\"p2\"><strong>Agile Collaboration & 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\"> </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> </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> </p><p><i>Applications will be accepted through June 1. This window may be extended depending on business needs. </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: </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/&data=04|01|[email protected]|2c256513c79f4679be7c08d9e7287ebb|8cc434d797d047d3b5c514fe0e33e34b|0|0|637794983376381246|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000&sdata=t1YQPUL7BgoclUd7yE2i86QAirLf4z3z8OEWgr42q7c=&reserved=0\" target=\"_blank\" rel=\"nofollow\"><i><u>here</u></i></a><i>.</i></p></div>",
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