Vendelux logo
Vendelux

Find better B2B events, faster. Search for your clients, track competitors and maximize event marketing ROI.

Senior Software Engineer, Data & AI

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

New York

Posted

112 days ago

Salary

$175K - $225K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishAirflowAWSAzureGCPPythonSQL

Job Description

Senior Software Engineer, Data & AI

Vendelux

• Design & Build AI-Powered Features: Architect, implement, and ship data-driven product features, always starting with the customer problem first. From prototyping through production, you’ll apply the right level of technology (whether simple heuristics or advanced AI) to deliver impact. • Build for Production: Build maintainable and scalable systems, including writing clean, testable code, integrating with new and existing data pipelines, and deploying solutions and services into cloud environments. • End to End Solution Delivery: Operate as an end-to-end developer in a fast paced startup. This involves identifying opportunities, prototyping solutions, securing stakeholder support, and productionalizing features that deliver measurable business value. • Applied AI Innovation: Research and apply modern methods (AI agents, LLMs, RAG, embeddings, supervised/unsupervised learning) to power new product capabilities, prioritizing impact and speed over perfection. • Enhance User Experience Through AI: Translate business problems into AI solutions that improve user workflows, accelerate insights, and drive measurable value. • Collaborate Cross-Functionally: Work with business stakeholders and other engineers to turn customer problems into technical requirements and impactful features. • Promote Best Practices: Establish and evangelize standards for AI/ML engineering and data quality across the team.

Job Requirements

  • 5+ years of professional experience in software engineering or data engineering, with at least 3+ years building AI/ML-driven products.
  • Strong programming skills in Python and proficiency in SQL.
  • Experience with modern AI frameworks (eg HuggingFace, LangChain, etc.) and designing data pipelines (Airflow, Dagster, or equivalent),
  • Solid understanding of cloud-based infrastructure (AWS, GCP, or Azure).
  • Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment.
  • Strong grasp of fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs.
  • Demonstrated ability to translate business problems into data solutions that drive business value.
  • Proven track record of shipping user-facing features with measurable impact.
  • Excellent written and verbal communication skills; ability to collaborate across data, engineering, and product teams.
  • Startup experience preferred.

Benefits

  • Direct product impact: Your models will shape how event marketers discover, connect, and measure ROI.
  • Product market fit: Customers love our platform; now it’s about enhancing the user experience and scaling with AI.
  • Ownership: You’ll set the standard for how we build, evaluate, and ship AI at Vendelux.
  • Growth: Work on cutting-edge problems in LLMs, recommendation systems, and applied ML.
  • Team: Join a collaborative, ambitious group with backgrounds at top tech and consulting firms.

Related Job Pages

More Full-stack Engineer Jobs

TigerData (creators of TimescaleDB) logo

Senior Software Engineer – Database Internals

TigerData (creators of TimescaleDB)

The fastest PostgreSQL cloud for time series, real-time analytics, and vector workloads. Creators of TimescaleDB

Full TimeRemoteTeam 51-200Since 2015H1B No Sponsor

• Play a core role in helping to design and develop new database capabilities, including analytics, clustering and distributed operations, query and storage optimizations, and more. • Develop, test, and release new features and functionality from our database technical roadmap. • Continually improve, optimize, and test the existing functionality of TimescaleDB. • Improve infrastructure to evaluate and test database correctness and performance. • Work closely with our Cloud Engineering team to build a world-class experience for our TigerData customers. • Provide elevated technical assistance to high-value customers, gaining insight into the needs and experiences of our users. • Be an enthusiastic and personable teammate, receiving and providing code reviews and partnering and helping other engineers.

New York
G2 logo

GTM Engineer

G2

Where you go for software.

Full TimeRemoteTeam 501-1,000Since 2012H1B Sponsor

• Map GTM bottlenecks: Partner with RevOps, Sales, Marketing, and CS to identify where AI can reduce manual effort, increase speed, or improve targeting. • Prototype fast: Use GPT-4, Claude, Zapier, Clay, Hex, Notion, and similar tools to quickly ship working workflows. • Run pilots: Deploy in-field with SDRs, AEs, and CSMs. Shadow, iterate, and learn. • Measure ROI: Quantify hours saved, pipeline influenced, and conversion lifts. • Operationalize workflows: Document and transition working flows to GTM Systems, Enablement, or Marketing Ops for scale. • Translate GTM strategy into execution: Operationalize Piper artifacts into real-time workflows that drive pipeline growth and faster prospect follow-up. • Deploy self-serve AI tools: Launch Slack-triggered workflows that reduce prep/admin time by 25–40% and dynamically prioritize accounts. • Automate connected workflows: Improve hand-offs across Salesforce, Salesloft, Gong, and G2 Intent, cutting time-to-action by 20–30%. • Partner across functions: Increase adoption of GTM tools by 60–80% by aligning AI workflows with how reps and CSMs actually work. • Benchmark against best-in-class: Build internal orchestration modeled on leading GTM platforms like Qualified.

United States
$110K - $175K / year
Job Closed
LanceDB logo

Senior Fullstack Engineer

LanceDB

Developer-friendly, open source database for multi-modal AI

Full TimeRemoteTeam 11-50Since 2022H1B No Sponsor

• Creating the most compelling experience for users to explore and manage their multimodal data. • Closely working with the rest of the team and designers to optimize user experience. • Building scalable backends for LanceDB Cloud that offer a serverless experience for billion-scale datasets. • Fast pace with a stellar team of core contributors to incredible projects like Python Pandas, Arrow, Delta-rs, Hadoop, to define the next generation data system for AI. • Future leadership opportunities as the team grows. • Be the driving force to raise the bar and strive for better architecture and best practices within the company.

United States
$180K - $250K / year
Full TimeRemoteTeam 1,001-5,000Since 2014H1B Sponsor

• Develop a cloud-native Stream Governance platform for Kafka and real-time data, which is a multi-tenant, highly available, and scalable service • Architect a complex engineering system from end to end • Partner across engineering and other key stakeholders to create and execute the overall roadmap for delivering a top-notch Data Streaming Platform for our customers • Evaluate and enhance the efficiency of our platform's technology stack, keeping pace with industry trends and adopting state-of-the-art solutions • Solve complicated technical projects with high quality and provide technical guidance to the team in specialized areas • As a vital member of our team, take responsibility for developing, managing, and maintaining a mission-critical service with a 99.99 SLA running on 90+ AWS, GCP, and Azure regions • Enhance the stability, performance, scalability, and operational excellence across multiple critical systems

Canada
CA$225.1K - CA$264.5K / year
Job Closed