
Ai Engineer
2 days ago
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.
Build MCP servers and agentic clients that handle user intent parsing, tool orchestration, and structured response generation
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
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
~ CI/CD fluencyGitHub Actions, containerized deployment, test-first habits
~ Experience with LLM evaluation tools like Promptfoo, LangSmith, or Guardrails
~ Bonus: Experience with MLflow, LaunchDarkly, Inferentia/GPU tuning
Languages: Python, TypeScript
LangChain, FastAPI, Next.js
Cloud: AWS (Bedrock, Lambda, DynamoDB, OpenSearch Vector Search) or GCP (Vertex AI, Cloud Functions, Firestore, BigQuery, Vector Search)
DevOps: GitHub Actions, CDK or Terraform, Docker, Prometheus, Grafana
Be part of AI-native product development: Integrate AI tools into how we design, build, and ship
Every decision you make will shape user experience and business outcomes
Inclusion Matters
We celebrate diversity and are committed to creating an inclusive environment for all team members.
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