{"id":3869951,"url":"https://alion.io/job/j-p-morgan-workplace-solutions-software-engineer-ii-2","title":"Software Engineer II","company":{"id":1848842,"name":"J.P. Morgan Workplace Solutions","domain":"jpmorganworkplacesolutions.com","url":"https://alion.io/company/jpmorganworkplacesolutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":96,"open_postings":377,"ghost_share":0.056,"stale_share":0.082,"repost_share":0.223,"time_to_fill_p50_days":8,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Python","optional":false},{"name":"CI/CD","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true},{"name":"Text-to-Speech","optional":true}],"status":"live","first_seen_at":"2026-11-05T22:55:45Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-10T13:55:51Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Help shape how teams across the firm build AI agents by contributing to a high-visibility AI Agent Platform. You will work on core building blocks-such as the software development kit (SDK), orchestration patterns, reusable components, and quality tooling-that enable teams to create conversational, voice, and document-extraction agent experiences. You will help turn complex problems into dependable production systems, raise engineering standards, and improve accuracy and reliability through disciplined evaluation and iteration.\nAs a Software Engineer II - AI Agent Platform at JPMorganChase within Enterprise Technology, you will contribute to the design and delivery of platform capabilities that enable large-language-model-powered agents at scale. You will collaborate closely with engineers, product partners, and risk and security stakeholders to ship measurable improvements in performance, developer experience, and operational stability. You will learn continuously, contribute ideas, and help set a high bar for quality in systems used by many teams and users.\nJob responsibilities\nBuild core SDK features and reusable components that enable teams to compose and operate AI agents consistently and safely.\nImplement orchestration and tool/function-calling patterns that improve reliability, traceability, and developer experience.\nDevelop retrieval and grounding capabilities that connect agents to approved data sources and reduce incorrect or unsupported responses.\nCreate evaluation datasets, benchmarks, and quality metrics to measure capability accuracy and guide iterative improvements.\nAdd testing, observability, and monitoring features (tracing, logs, latency and cost metrics) to improve operability and incident readiness.\nPartner with cross-functional stakeholders to translate requirements into secure, scalable, production-ready solutions.\nContribute to documentation, examples, and reference implementations that accelerate adoption and consistent usage.\nParticipate in code reviews and design discussions to improve maintainability, performance, and overall engineering standards.\nRequired qualifications, capabilities and skills\nFormal training or certification on software engineering concepts and 2+ years applied experience\nTwo or more years of hands-on Python development experience delivering production software.\nExperience building and operating backend services or platform components with attention to reliability, performance, and maintainability.\nExperience writing automated tests and using version control and code review practices to maintain quality.\nExperience integrating application components with data sources and building robust error-handling and observability practices.\nAbility to break down ambiguous problems into clear deliverables, iterate quickly, and communicate trade-offs to partners.\nStrong collaboration and communication skills, with a focus on outcomes and continuous improvement.\nPreferred qualifications, capabilities and skills\nExperience building with large language model (LLM) application patterns, such as retrieval-augmented generation and prompt iteration.\nFamiliarity with evaluation approaches for LLM-enabled systems (offline evaluation, regression testing, and metric-driven iteration).\nExposure to voice or speech-enabled experiences (speech-to-text, text-to-speech, or streaming interactions).\nExposure to document processing approaches (for example, optical character recognition and structured field extraction).\nExperience with containerization and continuous integration/continuous delivery practices.\nFamiliarity with cloud platforms (for example, Amazon Web Services) and modern production operations 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