
Product Innovation Engineer
2 weeks ago
About Codewalla
Since 2005, we've built innovative products that scale.
Our team moves fast, thinks deeply, and cares about pushing what software can do to empower people and businesses
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.
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.
Key Responsibilities
- 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 DevOps to codify and deploy infrastructure using CDK or Terraform
- Set up observability dashboards for prompt performance, latency, and failure traceability
Qualifications
- 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 TypeScript skills
- Experience with either AWS or GCP stacks, such as:
- AWS: Lambda, Bedrock, DynamoDB, OpenSearch Vector Search
- GCP: Cloud Functions, Vertex AI, Firestore, BigQuery, Vector Search
- Familiarity with LangChain, Bedrock SDK, and vector database schema design
- Understanding of prompt design, embeddings, and agentic workflows
- CI/CD fluencyGitHub Actions, containerized deployment, test-first habits
- Experience with LLM evaluation tools like Promptfoo, LangSmith, or Guardrails
Tools & Tech We Work With
- Languages: Python, TypeScript
- Frameworks: LangChain, FastAPI, Next.js
- Cloud: AWS (Bedrock, Lambda, DynamoDB, OpenSearch Vector Search) or GCP (Vertex AI, Cloud Functions, Firestore, BigQuery, Vector Search)
- Dev Tools: GitHub Copilot, Cursor
- Evaluation & Safety: Promptfoo, LangSmith, Guardrails
- DevOps: GitHub Actions, CDK or Terraform, Docker, Prometheus, Grafana
Why Join Us?
- 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
Equal Opportunity Employer
We celebrate diversity and are committed to creating an inclusive environment for all team members.
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