Top Remote Entry Level Python Jobs in NYC, NY

As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

Build and maintain internal pricing, decision, data, and AI-powered tools. Partner with teams to define problems, create PRDs, integrate third-party models and data sources, and develop reliable production systems. Write Python and SQL for analyses, dashboards, and monitoring, while handling data transformation, validation, and performance optimization. Prototype rapidly and harden successful solutions with testing and production engineering practices.

The Full-Stack Engineer will enhance backend functionality, collaborate with teams, and maintain platform performance and security, requiring expertise in Python.

Build and scale backend-leaning full-stack systems for ElevenLabs’ voice products, including Text-to-Speech, Speech-to-Text, voice cloning, voice verification, and recommendation capabilities. Responsibilities include modernizing architecture, data models, storage, and APIs; improving pipeline reliability through monitoring, retries, and failure recovery; and owning workstreams from design through production, including frontend changes when needed.

Own Wagmo’s application architecture across insurance, claims, partner integrations, identity, and AI systems. Establish technical direction, lead architecture reviews, retire legacy systems, design configurable onboarding, and create scalable identity and AI governance architectures. The role requires hands-on coding, strong Python and Django expertise, experience with migrations and third-party integrations, and the ability to influence technical decisions without direct reports while mentoring squad tech leads.

Designs and prototypes AI-enabled legal technology solutions, translating legal workflows into secure, governed architectures. Partners with lawyers, stakeholders, product managers, and engineers to define requirements and guide delivery. Builds production Python services and document workflows using LLMs, retrieval, RAG, agents, and cloud technologies. Leads discovery workshops, user testing, technology evaluations, and continuous improvement while ensuring privacy, security, compliance, and responsible AI standards.

Build full-stack, data-intensive AI product features across React interfaces, APIs, data models, and backend services. Develop workflows that make AI agent behavior understandable and controllable, integrate enterprise systems such as SAP, Salesforce, and Workday, and contribute to platform architecture, reusable components, code reviews, and technical decisions. Partner with product, design, data, and infrastructure teams to turn ambiguous problems into polished, reliable products.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

Build production-grade automation workflows, integrations, custom nodes, and reusable patterns for strategic enterprise deployments. Embed with customers during focused on-site engagements, translate ambiguous business problems into practical technical solutions, and collaborate with Deployment Strategists, Product, and Engineering. Capture customer feedback for product improvements, create internal playbooks, and deliver scalable solutions that customers can operate independently. The role requires frequent travel, strong engineering and integration skills, customer-facing confidence, and sound technical judgment.

Build and own the architecture for Dune’s curated data lifecycle, including dependency-aware orchestration, backfills, schema evolution, retries, recovery, data quality, and alerting. The role combines backend software engineering with large-scale data systems work across Go, Kotlin, Rust, Python, and SQL. Responsibilities include designing ingestion and curation contracts, making architecture decisions, solving ambiguous problems, and leading work that other engineers can execute.