About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Facilities Services (Architecture, Engineering & Construction consulting).

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

You will join a small US engineering team building full‑stack software and AI‑powered features used across a global business. This is a hands‑on role: you’ll write production code, own components end‑to‑end, and help shape technical direction.

• Design and build end‑to‑end features using modern React frontends and Python backends (Django or FastAPI)
• Own components and small services from specification through deployment and operation
• Contribute to AI features: prompt engineering, agent workflows, RAG pipelines, and LLM integrations
• Participate in architecture and design discussions and influence technical direction
• Write clean, tested, maintainable code and take part in code reviews
• Collaborate with engineering lead, DevOps, and business stakeholders to translate requirements into shipped software
• Help maintain and improve developer practices: CI/CD, testing, documentation, and operational excellence

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Qualifications

Required

• 0–3 years professional full‑stack software engineering experience
• Strong proficiency with React (or similar modern frontend framework) and Python (Django, FastAPI, or similar)
• Solid understanding of REST APIs, relational databases, and modern web application architecture
• Familiarity with containerized deployments (Docker)
• Experience with cloud infrastructure (AWS or Azure) and CI/CD workflows (GitHub Actions or equivalent)
• Excellent written and verbal communication; comfortable working across time zones and with non‑technical stakeholders
• Curiosity about AI/ML and a genuine interest in building AI‑powered products

Strongly preferred

• Production experience integrating with LLM APIs (OpenAI, Anthropic, or similar)
• Familiarity with agent orchestration frameworks (LangChain, LangGraph), vector databases (Pinecone, Weaviate), or RAG architectures
• Experience with modern data infrastructure (Databricks, Snowflake, Airbyte, or similar)
• Experience with workflow automation platforms (n8n, Zapier, Temporal, or similar)

Nice to have

• Experience on small engineering teams where individual ownership is high
• Exposure to enterprise SaaS or compliance‑sensitive industries
• Background in AEC, construction tech, or industrial software

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Working Model & Compensation

• Employment type: Full‑time
• Onsite schedule: 4 days per week in office, 1 hybrid/remote day
• Location: New York, NY (local candidates or candidates able to commute)
• Salary: $110,000–$140,000 (annual range)

Note: Salary range may vary by location and experience in accordance with applicable state and local laws.

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Why You’ll Like Working With Our Client

• Meaningful ownership: work on features that ship and impact global business units
• Growth into AI platform work—hands‑on exposure to LLM integrations and modern data pipelines
• Small, collaborative engineering team with opportunities to influence architecture and processes

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.