{"id":716395,"url":"https://alion.io/job/provenir-agentic-ai-software-engineer","title":"Backend Python Engineer - Cloud & AI","company":{"id":686190,"name":"Provenir","domain":"provenir.com","url":"https://alion.io/company/provenir-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135000,"max":155000,"currency":"USD","period":"year","gross":null,"usd_annual":155000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"AWS Bedrock","optional":true}],"status":"live","first_seen_at":"2026-07-23T23:26:51Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-30T22:10:24Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":98},"description":"Who We Are\nProvenir is the unified Decision Intelligence Platform that gives enterprises full control over end- to-end customer decisioning - to manage risk, drive growth, and transform business outcomes. By consolidating data, AI models, intelligence, agents and governance into a single decisioning environment, Provenir empowers business teams to configure and evolve strategy directly, while maintaining enterprise-grade reliability and regulatory compliance. Trusted by 120+ institutions in 60+ countries, Provenir processes over 4 billion decisions annually - turning architectural coherence into sustained risk performance and measurable value. Ready to solve meaningful challenges, work with enterprise customers, and help shape the future of AI-powered decisioning? Join us.\nWhat We’re Looking For\nWe are seeking an experienced Python Engineer to help build and enhance cloud-native capabilities within our SaaS platform. This role is primarily focused on developing reliable, scalable Python services and APIs, with opportunities to work on generative AI, intelligent agents, and other emerging AI capabilities.\nThe ideal candidate has a strong background in backend software development, particularly within a SaaS or cloud-based product environment. Prior experience with large language models, LangChain, retrieval-augmented generation, or AI agents is beneficial but not required.\nWe are looking for engineers who have strong software engineering fundamentals and are interested in applying those skills to modern AI-enabled applications.\nCandidates must be authorized to work in the United States. Provenir is unable to provide employment visa sponsorship for this position now or in the future.\nKey Responsibilities and Experience\nThree or more years of professional software development experience\n\nStrong Python development skills, including experience building production backend services and APIs\n\nExperience with modern Python frameworks, preferably FastAPI\n\nStrong understanding of software design, object-oriented programming, maintainable code, and automated testing using tools such as pytest or unittest\n\nExperience developing and supporting cloud-based or multi-tenant SaaS applications\n\nExperience designing REST APIs, service integrations, and reusable backend components\n\nHands-on experience with Docker and containerized application development\n\nFamiliarity with Kubernetes and cloud-native deployment environments\n\nExperience working with AWS services such as EKS, S3, IAM, Lambda, and CloudWatch\n\nExperience with CI/CD pipelines, version control, monitoring, logging, and production support\n\nUnderstanding of application scalability, resilience, security, and observability\n\nExperience with another object-oriented language such as Java, C#, or C++ is beneficial\n\nPreferred Experience\nExposure to generative AI applications, including LLMs, AI agents, RAG, or vector search\n\nFamiliarity with managed AI platforms such as Amazon Bedrock\n\nExperience with MLOps, infrastructure as code, or CI/CD automation\n\nWhat You’ll Be Doing\nDesigning, developing, testing, and maintaining Python-based backend services and APIs\n\nBuilding reusable components and platform capabilities for a cloud-native SaaS product\n\nIntegrating internal services, external APIs, and third-party platforms\n\nDeveloping containerized services that run in Kubernetes on AWS\n\nImproving application scalability, resilience, security, monitoring, and operational support\n\nWorking closely with product managers, architects, and other engineering teams to deliver customer-facing capabilities\n\nContributing to software design, code reviews, automated testing, and engineering standards\n\nSupporting services throughout their full lifecycle, from initial design through production operation\n\nContribute to AI-enabled product capabilities, including generative AI, intelligent agents, and tool integrations, based on product and customer needs\n\nThe interview process will be structured as follows:\nTeam Fit. A conversation with our Senior Engineering Team to explore how you work, what you're looking for, and how you'd fit with the team\nLive Coding: Build an AI Agent. Live session in your language of choice (e.g. Python). You'll build an AI agent from scratch, give it a skill, and get it to complete a real task - we're watching how you think, structure, and debug in real time, not just the output.\nTechnical Interview. With data science and/or engineering leadership - walk through what you built, why you made the choices you did, and how your approach extends to graph and identity problems, production systems, and team building.\nOn-site Requirement\nThis role requires travel to our New Jersey office - approximately once per quarter. Shortlisted candidates will also be asked to attend at least one interview stage in person\nOur employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and maternity/paternity leave.\nAt Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. 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