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, Environmental Services.

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

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What You’ll Do

This is a hands-on full-stack engineering role on a small, growing US engineering team supporting an AI-enabled product portfolio for a confidential client in the Environmental Services industry. You’ll write production-quality code, own components end-to-end, and help deliver AI-powered features used across global business units.

• Design and implement features across React frontends and Python backends (Django, FastAPI).
• Own components and small services from specification through deployment and ongoing operation.
• Contribute to AI-enabled features such as prompt engineering, agent workflows, retrieval-augmented generation (RAG) pipelines, and LLM integrations.
• Participate in architecture and design discussions; influence technical direction as you gain ownership.
• Write clean, tested, maintainable code and take part in code reviews.
• Collaborate with engineering leadership, DevOps, and business stakeholders to translate requirements into shipped software.
• Improve developer practices: CI/CD, automated testing, documentation, and operational excellence.

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Minimum Qualifications

• 0–3 years of professional full-stack software engineering experience.
• Strong proficiency with React (or a comparable 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.
• Genuine curiosity about AI/ML and interest in building AI-powered products.

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Strongly Preferred

• Production experience integrating with LLM APIs (OpenAI, Anthropic, or similar).
• Experience with agent orchestration frameworks (e.g., LangChain, LangGraph), vector databases (Pinecone, Weaviate), or RAG architectures.
• Exposure to modern data infrastructure (Databricks, Snowflake, Airbyte, or similar).
• Familiarity with workflow automation platforms (n8n, Zapier, Temporal, or similar).
• Experience on small teams where individual ownership and cross-functional collaboration are common.
• Background in AEC, construction tech, or enterprise/compliance-sensitive industries is a plus.

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Location & Schedule

• Based in New York, NY (confidential client office).
• Hybrid schedule: 4 days per week in-office, 1 hybrid/remote day.

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Compensation & Benefits

• Salary range: $110,000–$140,000 per year.
• Benefits and other perks will be provided by the confidential client and discussed during the interview process.

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Why Join

• Work on real AI/product work with measurable business impact.
• Grow from a full-stack engineer into AI platform and product responsibilities.
• Small engineering team — opportunity for ownership, visibility, and career growth.
• Opportunity to build production integrations with LLMs, RAG, and modern data tooling.

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Applicant & Legal Notes

Careertakes posts on behalf of a confidential client. All candidates will be considered without regard to protected characteristics. Reasonable accommodations are available for applicants with disabilities; please notify us during the hiring process if you need assistance.

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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.