Generative AI Engineer

Our team moves fast, thinks deeply, and cares about pushing what software can do to empower people and businesses\n\nAbout the Role\nWe’re hiring a Gen AI Engineer with 6–8 years of engineering experience, including at least one year shipping LLM-powered features. Your north star, turn raw LLM potential into reliable features and products.\nIf fast feedback loops, hands-on execution, and code that ships straight into users’ hands sound like your kind of work, we’d love to talk.\n\nWhat You’ll Work On\nBuild MCP servers and agentic clients that handle user intent parsing, tool orchestration, and structured response generation\nArchitect efficient RAG pipelines with chunk decay, latency budgeting, and cost-aware vector search\nAutomate evaluation pipelines that test LLM outputs for relevance, accuracy, and coherence\nWork closely with DevOps to codify and deploy infrastructure using CDK or Terraform\nSet up observability dashboards for prompt performance, latency, and failure traceability\nContinuously refine prompts, embeddings, and model behavior based on user feedback and regression tests\n\nWhat Makes You a Great Fit\n5–8 years of full-stack or backend development experience, with at least 1 year building AI-powered or LLM-based applications\nAI-native mindset: test fast, trace deeply, pause to reframe when needed\nStrong Python and TypeScript skills\nExperience with either AWS or GCP stacks, such as:\nAWS: Lambda, Bedrock, DynamoDB, OpenSearch Vector Search\nGCP: Cloud Functions, Vertex AI, Firestore, BigQuery, Vector Search\nFamiliarity with LangChain, Bedrock SDK, and vector database schema design\nUnderstanding of prompt design, embeddings, and agentic workflows\nCI/CD fluencyGitHub Actions, containerized deployment, test-first habits\nExperience with LLM evaluation tools like Promptfoo, LangSmith, or Guardrails\nBonus: Experience with MLflow, LaunchDarkly, Inferentia/GPU tuning\n\nTools & Tech We Work With\nLanguages: Python, TypeScript\nFrameworks: LangChain, FastAPI, Next.js\nCloud: AWS (Bedrock, Lambda, DynamoDB, OpenSearch Vector Search) or GCP (Vertex AI, Cloud Functions, Firestore, BigQuery, Vector Search)\nDev Tools: GitHub Copilot, Cursor\nEvaluation & Safety: Promptfoo, LangSmith, Guardrails\nDevOps: GitHub Actions, CDK or Terraform, Docker, Prometheus, Grafana\n\nWhy Join Codewalla?\nBuild for scale: Work on products that get investor love and scale to global audiences\nBe part of AI-native product development: Integrate AI tools into how we design, build, and ship\nGlobal exposure: Directly collaborate with US-based startups, VCs, and product teams\nLearn fast: Small, elite teams with zero bureaucracy and high ownership\nSee your impact: Every decision you make will shape user experience and business outcomes\n\nInclusion Matters\nWe’re an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.\n\nReady to build the future with LLMs, without waiting for the future to catch up?\nApply now and let’s build together.