Maximum of 25 job preferences reached.
Top Hybrid Software Engineer Jobs
Artificial Intelligence • Generative AI
The Principal Solutions Architect at Maven must design and validate complex AI architectures, guide deployments, and transform customer needs into reusable assets for enterprise solutions.
Top Skills:
AIAPIsIntegration ToolsLlmNode.jsPythonTypescript
Artificial Intelligence • Information Technology • Software
Own Helios’s hybrid information retrieval and temporal memory systems end to end. Responsibilities include index design, lexical and vector retrieval, ranking and reranking, query understanding, entity resolution, federated search, temporal versioning, authorization-aware retrieval, multimodal search, relevance evaluation, observability, reliability, and production performance across large data corpora.
Top Skills:
Bm25Cross-Encoder RerankingEmbedding ModelsHnswLearning To RankLexical IndicesMultimodal SearchNatural Language ProcessingVector Indices
Edtech • Enterprise Web • Software
Lead redesign of core data models, expand and improve the reporting system, and build user-facing automation to streamline repeated workflows. Work autonomously to take features from conception through delivery while collaborating with stakeholders and raising engineering standards.
Top Skills:
GraphQLNext.JsPostgres
Fintech • Software • Biotech • Pharmaceutical
Build and deploy production AI-powered systems for biopharma customers, translating ambiguous clinical and financial workflows into core platform capabilities. Develop Django services and APIs, AWS Bedrock agent workflows, data integrations, monitoring, feedback loops, and customer-facing interfaces. Own deployments end to end, contribute production code through the core codebase, identify reusable patterns, and influence product architecture and roadmap. Occasional travel to customer locations is required.
Top Skills:
Amazon BedrockAmazon EcsAWSAws FargateAws LambdaDjangoLlmsNeo4JPgvectorPineconePostgresPythonRagReactSQL
Artificial Intelligence • Fintech • Machine Learning • Productivity • Software • Analytics • Generative AI
Staff Backend Engineer responsible for architecting and building scalable Python backend infrastructure, APIs, data models, document ingestion pipelines, event-driven processing systems, and AI extraction integrations. The role sets technical direction, makes architectural decisions, collaborates with customers on product development, establishes engineering best practices, and mentors backend engineers while helping build a high-performing team.
Top Skills:
Ai/Ml IntegrationsAPIsB2B SaasEvent-Driven Processing SystemsPython
New
Cut your apply time in half.
Use ourAI Assistantto automatically fill your job applications.
Use For Free
Fintech
Lead technology delivery across the full software lifecycle in an Agile, cloud-first environment. Responsibilities include translating business outcomes into technical solutions, developing and maintaining applications and platforms, creating proof-of-concepts, applying DevSecOps and secure coding practices, supporting CI/CD and automated testing, resolving third-line incidents, improving delivery processes, managing data privacy risks, and advising engineering leadership while mentoring junior staff.
Top Skills:
.Net CoreAladdinAutomated TestingAWSC#Ci/CdDbtDevsecopsPythonSnowflakeSQL
Cloud • Digital Media • Hardware • News + Entertainment • Software
Develop and maintain high-performance backend services primarily in C++, with contributions in Go. Build real-time systems for processing live audio, video, captions, timecode, and network data. Address concurrency, timing, performance, and reliability challenges in a Linux environment. Collaborate with product, QA, and engineering teams through design discussions, code reviews, and Agile development while writing clean, tested, maintainable software.
Top Skills:
AmqpBitbucketC++GoGrpcJenkinsK3SKubernetesLinuxRabbitMQReactRest
Financial Services
Build and maintain scalable financial data infrastructure, including ingestion, validation, normalization, and integrations. Develop systems that calculate portfolio performance metrics efficiently across high-volume datasets, improve reliability and observability, and support distributed processing. Create internal tools, dashboards, reusable schemas, asset data feeds, and self-service analytics capabilities. Collaborate cross-functionally to expand market-data coverage, support B2B integrations, and strengthen operational resilience.
Top Skills:
Business Intelligence DashboardsData InfrastructureData Ingestion PipelinesData ValidationDistributed Systems
Big Data • Consumer Web • eCommerce • Information Technology • Social Impact • Database • App development
Build and own full-stack AI applications, data APIs, dashboards, and cloud-native services. Develop Python and Node.js backends, React frontends, AI/ML integrations, RAG pipelines, authentication, API management, testing, CI/CD, and performance improvements. Collaborate with AI/ML engineers, data scientists, product, and design teams to deliver scalable, reliable, intuitive, and responsible AI experiences.
Top Skills:
AWSAws SagemakerAzureCi/CdDatabricksDjangoFastapiGCPJavaScriptNext.JsNode.jsNoSQLPythonRagReactSQLTailwindcssVector Databases
Cloud • Healthtech • Internet of Things • Machine Learning • Software
Build scalable APIs, frontend UIs, container-based applications, and event-sourced systems for hospital operations. The role involves developing new products, automating operational escalations, contributing across the technology stack, and taking ownership of solutions within a small product-focused team.
Top Skills:
AngularAPIsJavaKafkaKotlinPython
Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.
Success! We'll use this to further personalize your experience.
Top hybrid Companies Hiring Engineering Roles
See AllAll Filters
Total selected ()
No Results
No Results




















