Software Engineer
Role details
Job location
Tech stack
Job description
We're hiring a Software Engineer to join our US engineering team and contribute meaningfully across our AI platform and product portfolio. This is a full-stack role with significant exposure to applied AI, data infrastructure, and enterprise automation. You'll write production code, own components end-to-end, and have a direct line of sight from your work to its business impact. This role is a great fit for an engineer with a few years of full-stack experience who wants to grow into AI platform work and take on real ownership. You'll be one of a handful of engineers shipping software used across SOCOTEC's global business units. Responsibilities
- Design and build features end-to-end across modern React frontends and Python (Django / FastAPI) backends
- Own components and small services - from spec through deployment and operation
- Contribute to AI-powered features: prompt engineering, agent workflows, RAG pipelines, and LLM integrations
- Participate in architecture and design discussions; influence technical direction as you grow into the role
- Write clean, tested, maintainable code and participate in code reviews
- Collaborate closely 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
Requirements
Required
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3+ years of professional full-stack software engineering experience
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Strong proficiency with React (or comparable modern frontend framework) and Python (Django, FastAPI, or similar)
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Solid understanding of REST APIs, relational databases, and modern web application architecture
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Familiarity with containerized deployments (Docker)
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Experience with cloud infrastructure (AWS/Azure) and CI/CD workflows (GitHub Actions or equivalent)
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Excellent written and verbal communication; comfortable working across time zones and with non-technical stakeholders
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Curiosity about AI/ML and a genuine interest in building AI-powered products Strongly Preferred
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Experience integrating with LLM APIs (OpenAI, Anthropic, or similar) in production
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Familiarity with one or more of: agent orchestration frameworks (LangGraph, LangChain), vector databases (Pinecone, Weaviate), or RAG architectures
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Experience with modern data infrastructure (Databricks, Snowflake, Airbyte, or similar)
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Experience with workflow automation platforms (n8n, Zapier, Temporal, or similar) Nice to Have
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Experience working on small engineering teams where individual ownership is high
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Exposure to enterprise SaaS or compliance-sensitive industries
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Background in AEC, construction tech, or industrial software.