Backend Developer

• Build high-quality, scalable, maintainable Python services and data pipelines.
• Collaborate with Data Scientists to build cutting-edge ML/AI systems.
• Design and operate cost-effective data pipelines over PostgreSQL, BigQuery, ClickHouse, and GCS - including schema migrations (Alembic) and data quality checks.
• Integrate and optimize LLM workloads end-to-end: multi-provider routing, cost monitoring, fallbacks, and continuous evaluation.
• Orchestrate workflows with Temporal and deploy on Kubernetes/GCP (Docker, Pub/Sub, KMS, IAM).
• Own reliability and observability - Grafana, Prometheus, Sentry, Langfuse - and keep pipelines healthy at scale.
• Maintain CI/CD pipelines for automated, safe deployments (including DB migrations).
• Drive code quality through clean code, testing, pair programming, code reviews, and knowledge sharing., Torch team is an engineering team building LLM-powered products for Content and brand intelligence. We own two domains:
• AIO (Brand presence, serenity, prompt tracking) - measuring and improving how brands show up across AI/LLM answers (ChatGPT, Gemini, Perplexity, Google AI Overview). Think "SEO analytics for the AI-search era," without relying on classic Google rankings.
• Content - AI-driven content scoring, SEO/GEO guidelines, and content-generation suggestions. We run large-scale data pipelines that turn raw LLM/SERP responses into trustworthy brand-visibility metrics. Cost-efficiency at scale is a core engineering challenge - we continuously benchmark and switch between LLM providers (OpenAI, Gemini, Mistral, Grok, Nebius, Claude) to balance quality and spend.

About the perks

• Unlimited PTO
• Hobby & team building budget allowance
• Employee Support Program
• Loss of family member financial aid
• Employee Resource Groups

Move together. Raise the bar. Learn fast-grow faster. That's the default. And here's what else is needed to succeed in this role:

• 5+ years of strong software engineering fundamentals - clean code and solid testing practices.
• Strong Python development skills.
• Experience with Docker; Kubernetes is a plus.
• Comfortable with CI/CD pipelines and deployment/infrastructure management.
• Data engineering experience - building scalable, cost-effective pipelines - is highly valued.
• Excited to work in a fast-paced environment and collaborate with Data Scientists to build innovative ML/AI systems.
• Solid knowledge of SQL with maintaining relational databases is a plus.
• Motivated to grow both personally and professionally.