
AI Applications Developer
1 week ago
Transform your skills into impact with a challenging role in AI applications development. Our team needs an engineer who can build and ship scalable, user-ready features using Large Language Models (LLMs).
About the Role
You will be working on Model Context Protocol (MCP) servers, building agentic clients, architecting Retrieval-Augmented Generation (RAG) pipelines, and automating LLM evaluations to ensure every release delivers measurable value.
What You'll Work On
- Develop MCP servers and agentic clients that handle user intent parsing, tool orchestration, and structured response generation
- Design 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
- Collaborate with DevOps to codify and deploy infrastructure using CDK or Terraform
- Set up observability dashboards for prompt performance, latency, and failure traceability
- Refine prompts, embeddings, and model behavior based on user feedback and regression tests
Requirements
- 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
Benefits
- Work on products that scale to global audiences
- Be part of AI-native product development: Integrate AI tools into how we design, build, and ship
- Global exposure: 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
Values
We celebrate diversity and are committed to creating an inclusive environment for all team members.
Ready to build the future with LLMs?
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