Generative ai engineer

About Codewalla Codewalla 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 businesses About the Role We’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 On Build MCP servers and agentic clients that handle user intent parsing, tool orchestration, and structured response generation Architect efficient RAG pipelines with chunk decay, latency budgeting, and cost-aware vector search Automate evaluation pipelines that test LLM outputs for relevance, accuracy, and coherence Work closely with Dev Ops to codify and deploy infrastructure using CDK or Terraform Set up observability dashboards for prompt performance, latency, and failure traceability Continuously refine prompts, embeddings, and model behavior based on user feedback and regression tests What Makes You a Great Fit 5–8 years of full-stack or backend development experience, with at least 1 year building AI-powered or LLM-based applications AI-native mindset: test fast, trace deeply, pause to reframe when needed Strong Python and Type Script skills Experience with either AWS or GCP stacks, such as: AWS: Lambda, Bedrock, Dynamo DB, Open Search Vector Search GCP: Cloud Functions, Vertex AI, Firestore, Big Query, Vector Search Familiarity with Lang Chain, Bedrock SDK, and vector database schema design Understanding of prompt design, embeddings, and agentic workflows CI/CD fluency Git Hub Actions, containerized deployment, test-first habits Experience with LLM evaluation tools like Promptfoo, Lang Smith, or Guardrails Bonus: Experience with MLflow, Launch Darkly, Inferentia/GPU tuning Tools & Tech We Work With Languages: Python, Type Script Frameworks: Lang Chain, Fast API, Next.js Cloud: 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, Cursor Evaluation & Safety: Promptfoo, Lang Smith, Guardrails Dev Ops: Git Hub Actions, CDK or Terraform, Docker, Prometheus, Grafana Why Join Codewalla? Build for scale: Work on products that get investor love and scale to global audiences Be part of AI-native product development: Integrate AI tools into how we design, build, and ship Global exposure: Directly collaborate with US-based startups, VCs, and product teams Learn fast: Small, elite teams with zero bureaucracy and high ownership See your impact: Every decision you make will shape user experience and business outcomes Inclusion Matters We’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.