AI Engineer

About the Role

Were looking for an AI Engineer to design build and scale the systems that power our AI-driven product. Youll work at the intersection of large language models multi-agent systems and production software turning cutting-edge AI capabilities into reliable user-facing experiences.

What Youll Do

• Design and implement LLM-powered pipelines including prompt engineering context management and response synthesis
• Build and optimize multi-agent orchestration systems where AI components interact reason and produce coherent outputs
• Develop and maintain integrations with foundation model APIs (Anthropic OpenAI and others) managing latency cost and reliability at scale
• Implement retrieval-augmented generation (RAG) and memory systems for persistent context-aware behavior
• Partner with the Evaluation/QA Engineer to build frameworks that measure output quality coherence and factual grounding
• Collaborate with product and design to translate workflows into robust technical experiences
• Ship production features across the stack from the model layer to the application

Monitor debug and improve system performance token efficiency and guardrails

Qualifications :

• 3 years of software engineering experience with hands-on work building LLM-powered applications
• Strong proficiency in Python and/or TypeScript/JavaScript
• Experience with LLM APIs prompt engineering and agentic frameworks (e.g. LangChain LlamaIndex or custom orchestration)
• Familiarity with vector databases and RAG architectures (Pinecone Weaviate pgvector etc.)
• Understanding of multi-agent systems tool use and function calling
• Experience designing evaluation and testing strategies for non-deterministic AI outputs
• Solid grasp of API design async processing and scalable backend architecture
• Comfort working in a fast-moving ambiguous early-stage environment

Additional Information :

• Experience with real-time streaming (WebSockets SSE) for conversational interfaces
• Background in fine-tuning model distillation or inference optimization
• Familiarity with cloud infrastructure (AWS/GCP/Azure) and CI/CD
• Contributions to open-source AI projects

Remote Work :

Yes

Employment Type :

Full-time