{"schemaVersion":"jobsearcher.job.v1","id":"733eae6312f2a925b4d21fd4","url":"https://jobsearcher.com/jobs/733eae6312f2a925b4d21fd4","canonicalUrl":"https://jobsearcher.com/jobs/733eae6312f2a925b4d21fd4","title":"Python AI Engineer","description":"We are hiring a Python AI Engineer to operate and evolve the infrastructure behind an enterprise knowledge base platform as it transitions from a Confluence-focused RAG chatbot into a broader, agentic knowledge system.\n\nToday, our platform supports Confluence/GitHub ingestion chunking pgvector RAG retrieval FastAPI serving. In our next growth phase, we are expanding toward hybrid retrieval (vector + sparse + graph), multi-source ingestion, robust evaluation pipelines, agent infrastructure, and shared chat platform primitives.\n\nIf you are passionate about building scalable, reliable, and production-grade AI infrastructure rather than just chasing demo behavior, we want to hear from you.\n\nReq.#1093687315\n\nResponsibilities\n\nArchitect and implement robust backend services using Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg\nDesign trade-offs around retrieval quality, latency, cost, safety, and operational simplicity\nBuild production-grade agent runtime capabilities, including memory boundaries, tool sandboxing, permissions, and budget controls\nImprove answer grounding, failure analysis, and citation enforcement for enterprise-grade dependability\nCreate comprehensive observability and operational feedback loops using OpenTelemetry, Prometheus/Grafana, Docker/Helm, and GitHub Actions\nIngestion infrastructure across current and future content sources\nFull-stack observability across application, pipeline, database, and model-serving behavior\nCost, latency, throughput, and failure-mode management for AI-heavy workloads\nRelease workflows that validate AI behavior changes, not just code compilation\nPartner closely with product and engineering teams to support multiple conversational surfaces through a unified knowledge platform\n\nRequirements\n\nStrong, hands-on Python experience in platform, automation, or infrastructure-heavy environments\nExperience building CLI tools using Python, Golang, or Rust\nHands-on experience with LangGraph, LangChain, pgvector, and modern retrieval pipelines\nExperience designing evaluation frameworks for LLM-backed systems, including regression detection and quality measurement\nStrong experience with Docker, Helm, GitHub Actions, and Kubernetes-oriented workflows\nSystems Understanding: Familiarity with the operational characteristics of embedding pipelines, vector search, and LLM-backed systems\nStrong skills across metrics, tracing, dashboards, alerting, and log analysis\nExperience with ingestion, ETL, or content-processing pipelines at scale\nAn innate ability to think in terms of reliability, cost, latency, throughput, and disaster recovery\n\nNice to have\n\nExperience with Qdrant, Neo4j, or other vector/graph infrastructure\nPrior experience supporting RAG, search, evaluation, or agent platforms\nBackground in enterprise or highly regulated environments\nFamiliarity with enterprise tooling such as Vault, Splunk, Artifactory, or ECR\nComfort leveraging AI-assisted engineering workflows in day-to-day work\n\nWe offer\n\nMedical, Dental and Vision Insurance (Subsidized)\nHealth Savings Account\nFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)\nShort-Term and Long-Term Disability (Company Provided)\nLife and AD&D Insurance (Company Provided)\nEmployee Assistance Program\nUnlimited access to LinkedIn learning solutions\nMatched 401(k) Retirement Savings Plan\nPaid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)\nPaid Holidays - nine (9) total per year\nLegal Plan and Identity Theft Protection\nAccident Insurance\nEmployee Discounts\nPet Insurance\nEmployee Stock Purchase Program\nIf otherwise eligible, participation in the discretionary annual bonus program\nIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program\n\nThis Remote Position Cannot be Performed in New York City.\n\nEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.\nEngineer the Future with a Career at EPAM\n\nThis posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $130,000 - $145,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.\n\nApplications will be accepted on a rolling basis.\n\nIn accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)\n\nEPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.\n\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.","company":"EPAM Systems","rawCompany":"epam systems","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-11-06T10:44:18.370Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python AI Engineer","description":"We are hiring a Python AI Engineer to operate and evolve the infrastructure behind an enterprise knowledge base platform as it transitions from a Confluence-focused RAG chatbot into a broader, agentic knowledge system.\n\nToday, our platform supports Confluence/GitHub ingestion chunking pgvector RAG retrieval FastAPI serving. In our next growth phase, we are expanding toward hybrid retrieval (vector + sparse + graph), multi-source ingestion, robust evaluation pipelines, agent infrastructure, and shared chat platform primitives.\n\nIf you are passionate about building scalable, reliable, and production-grade AI infrastructure rather than just chasing demo behavior, we want to hear from you.\n\nReq.#1093687315\n\nResponsibilities\n\nArchitect and implement robust backend services using Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg\nDesign trade-offs around retrieval quality, latency, cost, safety, and operational simplicity\nBuild production-grade agent runtime capabilities, including memory boundaries, tool sandboxing, permissions, and budget controls\nImprove answer grounding, failure analysis, and citation enforcement for enterprise-grade dependability\nCreate comprehensive observability and operational feedback loops using OpenTelemetry, Prometheus/Grafana, Docker/Helm, and GitHub Actions\nIngestion infrastructure across current and future content sources\nFull-stack observability across application, pipeline, database, and model-serving behavior\nCost, latency, throughput, and failure-mode management for AI-heavy workloads\nRelease workflows that validate AI behavior changes, not just code compilation\nPartner closely with product and engineering teams to support multiple conversational surfaces through a unified knowledge platform\n\nRequirements\n\nStrong, hands-on Python experience in platform, automation, or infrastructure-heavy environments\nExperience building CLI tools using Python, Golang, or Rust\nHands-on experience with LangGraph, LangChain, pgvector, and modern retrieval pipelines\nExperience designing evaluation frameworks for LLM-backed systems, including regression detection and quality measurement\nStrong experience with Docker, Helm, GitHub Actions, and Kubernetes-oriented workflows\nSystems Understanding: Familiarity with the operational characteristics of embedding pipelines, vector search, and LLM-backed systems\nStrong skills across metrics, tracing, dashboards, alerting, and log analysis\nExperience with ingestion, ETL, or content-processing pipelines at scale\nAn innate ability to think in terms of reliability, cost, latency, throughput, and disaster recovery\n\nNice to have\n\nExperience with Qdrant, Neo4j, or other vector/graph infrastructure\nPrior experience supporting RAG, search, evaluation, or agent platforms\nBackground in enterprise or highly regulated environments\nFamiliarity with enterprise tooling such as Vault, Splunk, Artifactory, or ECR\nComfort leveraging AI-assisted engineering workflows in day-to-day work\n\nWe offer\n\nMedical, Dental and Vision Insurance (Subsidized)\nHealth Savings Account\nFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)\nShort-Term and Long-Term Disability (Company Provided)\nLife and AD&D Insurance (Company Provided)\nEmployee Assistance Program\nUnlimited access to LinkedIn learning solutions\nMatched 401(k) Retirement Savings Plan\nPaid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)\nPaid Holidays - nine (9) total per year\nLegal Plan and Identity Theft Protection\nAccident Insurance\nEmployee Discounts\nPet Insurance\nEmployee Stock Purchase Program\nIf otherwise eligible, participation in the discretionary annual bonus program\nIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program\n\nThis Remote Position Cannot be Performed in New York City.\n\nEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.\nEngineer the Future with a Career at EPAM\n\nThis posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $130,000 - $145,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.\n\nApplications will be accepted on a rolling basis.\n\nIn accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)\n\nEPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.\n\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.","datePosted":"2026-11-06T10:44:18.370Z","dateModified":"2026-11-06T10:44:18.370Z","hiringOrganization":{"@type":"Organization","name":"EPAM Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"733eae6312f2a925b4d21fd4"},"url":"https://jobsearcher.com/jobs/733eae6312f2a925b4d21fd4"}}