As a Full-Stack Engineer, you will develop and ship features across the platform, managing both backend and frontend aspects while directly engaging with enterprise customers to ensure product relevance and effectiveness.
About Our Client
Our client is an applied AI and data analytics company building the intelligence layer that powers enterprise decision-making. Its platform unifies an organization's full data landscape — internal systems, social media signals, industry reports, and consumer behavior data — into a single coherent intelligence layer that surfaces insights and automates workflows that previously consumed weeks of analyst time.
The core thesis is that research and data today remain fragmented: very little of it is connected, and enormous value disappears into that "dark data." Our client is converting sentiment from a lagging signal into a leading one, allowing brands to move months faster than legacy research tools permit. The platform is building toward a consumer ontology — think of Palantir's ontology, but for consumer intelligence — powered by a production graph RAG system that links temporal and sentiment data at a scale not previously attempted.
The product is already delivering eight-figure gross-margin improvements for Fortune 500 retailers. The go-to-market is a land-and-expand motion: starting in insights and research functions, then expanding into innovation, marketing, and eventually supply chain and manufacturing.
Founded by a technical team with deep experience in innovation and graph databases. $14M raised in seed funding. Emerging publicly after almost two years in stealth. Zero attrition since founding. The culture is genuine: weekly team activities (ping pong tournaments, Yankees games, happy hours, game nights), with plus-ones welcome at events.
This is a ground-floor opportunity — the engineers joining at this stage will have outsized influence on architecture, product direction, and culture.
About the Role
This is a mid-level full-stack position. You will work across every layer of the platform — from backend services that process enterprise data at scale to frontend interfaces that make intelligence accessible and actionable. On a team this size, full-stack means full ownership: you will carry features from concept through production and iterate directly with enterprise customers.
The team operates on a DRI (Directly Responsible Individual) model — you own major product features end-to-end rather than simply contributing to them. This is a hands-on IC role for builders who ship.
Key Responsibilities
⦁ Build and ship features end-to-end — backend services in Go/Python and frontend experiences in React/TypeScript
⦁ Design APIs, data models, and service architectures that support our client's agentic AI capabilities
⦁ Create intuitive interfaces that turn complex enterprise data into clear, actionable workflows
⦁ Partner with ML engineers to bring AI-driven features into production
⦁ Own features through the full lifecycle: scoping, architecture, implementation, testing, deployment, and iteration
⦁ Engage directly with enterprise customers and stakeholders to understand real-world needs and refine the product
⦁ Contribute to infrastructure, tooling, and developer experience as the engineering team grows
Requirements
⦁ 3+ years of professional engineering experience with meaningful work spanning both frontend and backend
⦁ Proficient in TypeScript/React and at least one of: Go or Python
⦁ Strong product instincts — thinks about the user, not just the code
⦁ Experience with cloud infrastructure (AWS preferred) and modern deployment practices
Bonus Skills
⦁ Experience with agentic AI systems, LLM integrations, or RAG architectures
⦁ Background in enterprise SaaS, retail technology, or data-intensive products
⦁ Familiarity with data visualization, real-time systems, or streaming architectures
⦁ Contributions to developer tooling, CI/CD, or infrastructure automation
⦁ Graph database experience
Logistics
Location: New York City — 4 days per week in office, with engineering generally able to take Fridays remote. Additional flexibility is considered case-by-case; the in-office norm is collaborative rather than a strict 5-day mandate.
Compensation: $140,000 – $170,000 base salary, plus equity (approximately 25% of base per year, vesting) and bonus.
Openings: Up to 2 hires
Benefits & Other:
⦁ Medical, dental, vision, and 401(k)
⦁ Home office stipend and flexible PTO
⦁ Ground-floor equity at a well-funded seed-stage company
⦁ Strong team culture: weekly activities, team events, zero attrition to date
Interview Process
1. Recruiter screen
2. Introductory call with the team (culture and background fit)
3. Technical screen (45–60 minutes) with a senior engineer — architecturally focused, probing on background and hands-on ability (not pure coding, but candidates should demonstrate genuine fluency with code)
4. On-site (~4 hours) — coding interview, system design interview, product sense (30 minutes), AI sense (30 minutes), and a meeting with leadership. Note: a decision is often reached after the first two on-site interviews (~1 hour).
5. Offer
CompensationThe base pay range for this role is $140,000 – $170,000 per year.
Syndesus New York, New York, USA Office
80 Theodore Fremd Ave Rye, New York, United States, 10580
Similar Jobs
Financial Services
Lead Software Engineer responsible for architecting, developing, and maintaining scalable, resilient full-stack products. Drive adoption of AI-assisted engineering, ensure secure high-quality production code, automate remediation and CI/CD, evaluate vendor architectures, mentor teams on responsible AI and secure practices, and promote reuse of effective patterns across engineering.
Top Skills:
Ai-Assisted Development ToolsAngularAngularjsAWSCassandraCi/CdContainerizationDockerExtjsJavaJqueryKubernetesNode.jsNoSQLReactReactReduxSpring Boot
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Build and maintain React and Streamlit front-ends and FastAPI backends for analytics applications. Architect cloud-native services using Kubernetes (EKS), DynamoDB, Jenkins, and containerized CI/CD pipelines. Collaborate with data teams and stakeholders, lead code reviews, champion UI/UX best practices, and optimize platforms for scalability, security, and reliability.
Top Skills:
AWSCi/CdContainerizationDevOpsDynamoDBFastapiGenerative AiJavaScriptJenkinsKubernetes (Eks)MicroservicesPythonReactStreamlitTerraformTypescript
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Design, build, integrate, and support scalable Wealth Management full stack applications. Implement responsive React front-ends and secure C#/.NET backend services, design RESTful APIs, integrate enterprise systems (MuleSoft, vendor APIs, data platforms), use AWS cloud services, apply DevOps practices, and leverage AI-assisted development tools to accelerate delivery.
Top Skills:
.Net CoreApi ContractsApi GatewayAsp.Net CoreAurora PostgresqlAWSC#Ci/CdContainerizationCSS3DatabricksDmsEcsEksEvent-Driven MessagingGitGlueHTML5JavaJavaScriptJwtKafka/MskLambdaMulesoftOauth2OidcPostgresPythonRbacReactRedshiftRestS3SsoTypescript
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
