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Software Engineer, Generative AI

Build secure, scalable generative AI services, APIs, and interfaces for enterprise customers. The role requires production Python experience, expertise with LLM applications and agentic frameworks, cloud-native architecture, and strong collaboration across engineering and product teams.

About the job

Responsibilities

  • Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks.
  • Build and optimize high-performance, low-latency APIs and microservices integrating AI models and agentic workflows.
  • Make system design decisions and own architecture for core platform components from proposal through production deployment.
  • Implement responsive user interfaces with React and TypeScript.
  • Communicate changes, plans, and proposals across cross-functional teams.
  • Collaborate with product managers, data scientists, and DevOps engineers.
  • Partner with DevOps teams on continuous deployment, logging, and monitoring for distributed workloads.

Requirements

  • 3–5+ years of hands-on software engineering experience, with a strong emphasis on production Python development.
  • Experience building and deploying generative AI applications using LLMs, vector databases, and open-source agentic frameworks.
  • Experience with microservices architecture, RESTful APIs, cloud platforms, Docker, and Kubernetes.
  • Knowledge of FastAPI, Asyncio, PostgreSQL, and AI developer tools such as Claude, Cursor, or GitHub Copilot.
  • Experience with enterprise architecture and technologies such as IAM, SSO, SAML, OAuth, OIDC, and RBAC.
  • Collaborative mindset, proactive problem-solving, mentoring ability, and ownership of high-quality, resilient, scalable code.

Benefits

  • Generous PTO and company holidays.
  • Comprehensive medical and dental insurance.
  • 16 weeks of paid parental leave for all parents.
  • Fertility and family planning support.
  • Early-detection cancer testing through Galleri.
  • Competitive pension scheme and company contribution.
  • Wellness, learning and development, and work-life stipends.
  • Company-wide and team off-sites.
  • Competitive compensation and company stock options.

Skills

Python, Generative AI, LLMs, Pinecone, Weaviate, Pgvector, Microservices, REST APIs, AWS, Docker, Kubernetes, React, TypeScript, FastAPI, Postgres

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