[Remote] Founding Lead Engineer / Principal Systems Architect

Note: The job is a remote job and is open to candidates in USA. OpenTeams is dedicated to unlocking human potential through AI that empowers rather than drains resources. They are seeking a Founding Lead Engineer / Principal Systems Architect to build an intelligent operations platform focused on evidence-governed analysis and high-integrity reporting in regulated domains, particularly healthcare.ResponsibilitiesWork side-by-side with the concept architect to convert advanced system ideas into technical specifications, service maps, data models, APIs, schemas, tests, and deployment plansTranslate verbal and written design guidance into architecture diagrams, implementation backlogs, acceptance criteria, and working prototypesIdentify ambiguity, missing assumptions, engineering risks, security issues, and implementation conflictsHelp turn an evolving concept architecture into reproducible, testable, maintainable softwareBuild production-grade Python services, APIs, data pipelines, background workers, and orchestration logicDesign clean service boundaries for ingestion, entity resolution, evidence management, review workflows, reporting, audit logging, and model integrationBuild deterministic, auditable workflows for high-consequence system operationsEstablish repository structure, coding standards, documentation practices, testing standards, and implementation disciplineDesign and implement relational schemas, graph models, object-storage structures, retrieval indexes, and audit recordsBuild canonical identity and entity-linking systems that reconcile conflicting real-world recordsSupport relationship topology, ownership mapping, provider-network analysis, and source-conflict preservationImplement data validation, source normalization, evidence linking, deduplication, and data-quality checksBuild a model-agnostic adapter layer for open-weight and hosted modelsImplement multi-model routing for parsing, extraction, summarization, evidence explanation, report drafting, reviewer critique, and deterministic no-model workflowsIntegrate model-serving infrastructure such as vLLM, KServe, Ray Serve, Ollama, llama.cpp, Hugging Face, or equivalent tools where appropriateImplement structured outputs, prompt/template management, model-call audit, output validation, and model versioningEnsure model outputs remain constrained by evidence, rules, schemas, human review, and audit recordsBuild rapid internal UI prototypes for evidence review, graph visualization, timeline inspection, review queues, report review, and audit inspectionUse tools such as Streamlit, Plotly Dash, Retool, React, Next.js, or equivalent frameworks where appropriateDesign backend APIs and data contracts that allow a dedicated frontend or full-stack engineer to later build a production analyst/reviewer workspaceEnsure human reviewers can inspect evidence, source conflicts, model outputs, rule triggers, and report language before high-consequence outputs are finalizedDeploy services using Docker, Kubernetes, Helm, GitOps, CI/CD, RBAC, secrets management, observability, and secure environment practicesSupport cloud, private-cloud, hybrid, or OpenTeams/Nebari-aligned infrastructure where applicableImplement secure configuration, environment promotion, logging, backup/restore, and infrastructure-as-code practicesBuild deployment patterns that can support development, test, staging, and controlled pilot environmentsBuild synthetic datasets, golden tests, regression tests, benchmark suites, schema tests, model-output checks, and security-boundary testsValidate ingestion throughput, entity-resolution accuracy, graph query performance, model latency, report generation, audit volume, and backup/restore behaviorEnsure every major module has clear acceptance criteria and reproducible test evidenceSkills8+ years of professional software engineering experience, or equivalent exceptional experienceExpert-level Python engineeringExperience building production backend services, APIs, data pipelines, and distributed systemsStrong SQL and relational database design experience, preferably PostgreSQLExperience with graph databases, knowledge graphs, or complex relationship modelingExperience with LLM integration, open-weight models, structured outputs, prompt/template management, or model-evaluation workflowsExperience with Docker, Kubernetes, Helm, GitOps, CI/CD, and secure cloud or private infrastructure deploymentExperience with data validation, audit logging, RBAC, secrets management, and secure software designAbility to design modular systems from ambiguous early-stage architectureAbility to translate non-engineering conceptual guidance into concrete software architecture and implementation plansStrong written documentation skillsComfort working directly with a non-engineer concept architectExperience with Nebari, Dask Gateway, Keycloak, or comparable data-platform infrastructureExperience with vLLM, KServe, Ray Serve, Ollama, llama.cpp, Hugging Face Transformers, or comparable model-serving infrastructureExperience with Neo4j, Cypher, graph analytics, graph ETL, or graph visualizationExperience with OPA/Rego, policy-as-code, deterministic rule engines, symbolic validation, or explainable decision logicExperience with FastAPI, Pydantic, SQLAlchemy, Alembic, pytest, and modern Python service designExperience with Terraform, ArgoCD, Flux, Vault, Prometheus, Grafana, OpenTelemetry, or comparable DevSecOps toolingExperience with vector databases, hybrid retrieval, pgvector, OpenSearch, Elasticsearch, or comparable retrieval systemsExperience with Dask, Spark, Kafka, Redpanda, RabbitMQ, or comparable distributed processing and event-streaming systemsExperience in healthcare, government, legal, finance, cybersecurity, program integrity, or other regulated environmentsFamiliarity with provider enrollment, NPI/NPPES, PECOS, LEIE/exclusion references, licensing records, corporate registries, or healthcare integrity workflowsFamiliarity with EDI healthcare transactions, eligibility files, managed-care encounters, FHIR, HL7, or EHR audit logs is helpful for later expansion phasesExperience building AI systems with human review, auditability, evidence controls, and high-consequence output safeguardsExperience with private-cloud, on-prem, hybrid, or air-gapped deploymentsBenefitsEquity, performance-based incentives, or founding-team participation may be considered for the right candidate.We offer 100% employer paid medical premiums for employees and self-managed PTO with a minimum time off requirement, so that our teams are able to do their best work.Company OverviewOpenTeams is the global leader in Open SaaS AI, machine learning, and data science. We’re here to unshackle the world from black-box SaaS. It was founded in 2019, and is headquartered in Austin, Texas, USA, with a workforce of 51-200 employees. Its website is https://openteams.com/.