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3 days ago
About CodewallaCodewalla is a New York–based product studio with engineering teams in India. Since 2005, we’ve built innovative products that scale. We work at the intersection of design, engineering, and AI developing systems shaped by real business needs and tested in the real world. Our team moves fast, thinks deeply, and cares about pushing what software can do to empower people and businessesAbout the RoleWe’re hiring an AI Applications Developer with 5 to 8 years of engineering experience, including at least 1 year building and shipping LLM-powered features in production.Your mission: translate raw model capability into lean, reliable, and user-ready features. You’ll work on Model Context Protocol (MCP) servers, build agentic clients, architect RAG pipelines, and automate LLM evaluations to ensure every release delivers measurable value.If you thrive on rapid iteration, prompt experimentation, and seeing your code make it into users’ hands we’d love to hear from you.What You’ll Work OnBuild MCP servers and agentic clients that handle user intent parsing, tool orchestration, and structured response generationArchitect efficient RAG pipelines with chunk decay, latency budgeting, and cost-aware vector searchAutomate evaluation pipelines that test LLM outputs for relevance, accuracy, and coherenceWork closely with Dev Ops to codify and deploy infrastructure using CDK or TerraformSet up observability dashboards for prompt performance, latency, and failure traceabilityContinuously refine prompts, embeddings, and model behavior based on user feedback and regression testsWhat Makes You a Great Fit5–8 years of full-stack or backend development experience, with at least 1 year building AI-powered or LLM-based applicationsAI-native mindset: test fast, trace deeply, pause to reframe when neededStrong Python and Type Script skillsExperience with either AWS or GCP stacks, such as:AWS: Lambda, Bedrock, Dynamo DB, Open Search Vector SearchGCP: Cloud Functions, Vertex AI, Firestore, Big Query, Vector SearchFamiliarity with Lang Chain, Bedrock SDK, and vector database schema designUnderstanding of prompt design, embeddings, and agentic workflowsCI/CD fluency Git Hub Actions, containerized deployment, test-first habitsExperience with LLM evaluation tools like Promptfoo, Lang Smith, or GuardrailsBonus: Experience with MLflow, Launch Darkly, Inferentia/GPU tuningTools & Tech We Work WithLanguages: Python, Type ScriptFrameworks: Lang Chain, Fast API, Next.jsCloud: AWS (Bedrock, Lambda, Dynamo DB, Open Search Vector Search) or GCP (Vertex AI, Cloud Functions, Firestore, Big Query, Vector Search)Dev Tools: Git Hub Copilot, CursorEvaluation & Safety: Promptfoo, Lang Smith, GuardrailsDev Ops: Git Hub Actions, CDK or Terraform, Docker, Prometheus, GrafanaWhy Join Codewalla?Build for scale: Work on products that get investor love and scale to global audiencesBe part of AI-native product development: Integrate AI tools into how we design, build, and shipGlobal exposure: Directly collaborate with US-based startups, VCs, and product teamsLearn fast: Small, elite teams with zero bureaucracy and high ownershipSee your impact: Every decision you make will shape user experience and business outcomesInclusion MattersWe’re an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.Ready to build the future with LLMs, without waiting for the future to catch up?Apply now and let’s build together.
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