Staff AI Engineer designing and delivering clinician - grade AI solutions for healthcare. Collaborating across teams to enhance patient care and optimize workflows.
About the role
- AI Engineer designing agent-based frameworks at Thiga, focused on Production-Grade AI and innovative R&D efforts. Collaborating on cutting-edge AI integration and architecture for client projects.
Responsibilities
- Architect Agent Systems: Design agents using tools such as LangGraph or AutoGen.
- Inference Optimization: Experiment with latency/cost/quality trade-offs (quantization, semantic caching, selecting SLM vs LLM models).
- RAG: Implement Retrieval-Augmented Generation approaches.
- Fine-tuning & Local LLMs: Explore self-hosting (vLLM, Ollama) and fine-tuning models on specific datasets.
- Industrialization (LLMOps): Set up robust evaluation pipelines (LLM-as-a-judge, Ragas, DeepEval) to ensure non-regression and factuality.
- Full-stack AI integration: Connect the "brains" (LLMs) to data (APIs, SQL/NoSQL databases, vector stores) via an agent-based approach.
- Architecture audit: Analyze clients' agentic architecture implementations for optimization or redesign.
Requirements
- A passionate Software Engineer with at least 2 years of experience: You are proficient in Python and/or TypeScript. 'Spaghetti' notebook code is not sufficient.
- AI Stack expert: You have hands-on experience with agentic frameworks (LangChain, LangGraph, LlamaIndex, or others) and experience with one or more vector stores (Qdrant, Weaviate, Pinecone, ...).
- Pragmatic and rigorous: You know how to manage hallucination and nondeterminism. You understand the difference between a ReAct agent and chain-of-thought.
- DevOps-aware: You are comfortable deploying agents on one or more platforms (AWS, Google Cloud, Azure, Hugging Face, ...).
Benefits
- An opportunity to build autonomous systems, not just chatbots.
- A technical environment free of legacy AI technical debt.
- A team that values hard tech and clean software engineering.
- The opportunity to define AI design patterns for years to come.
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