AI Developer

We’re seeking an AI Developer to architect and deliver the intelligence behind a no-code app and agent platform. In this role, you’ll take full ownership of AI capabilities—from model selection and orchestration to inference, evaluation, and production-grade reliability. You’ll collaborate closely with Product and Design to transform complex user needs into elegant, scalable solutions, while setting a high standard for AI quality, safety, and performance across the company.

Key Responsibilities

• Lead the design and development of AI-powered features for our app and agent builder, covering everything from architectural design and prototyping to production deployment and monitoring.
   

• Build and maintain robust agent orchestration (tool/function calling, memory, workflows), retrieval pipelines (RAG), and low-latency inference services.
   

• Evaluate, integrate, and optimize LLMs and embeddings (OpenAI, Anthropic, open-source), including prompt engineering, guardrails/safety, and fine-tuning when needed.
   

• Develop secure and reliable integrations and SDKs to connect agents with external systems and data sources (REST/GraphQL APIs, webhooks, OAuth).
   

• Implement rigorous offline and online evaluation frameworks, experimentation processes, and observability tooling to ensure quality, correctness, and cost-efficiency at scale.
   

• Work cross-functionally to translate user challenges into intuitive solutions; mentor engineers and contribute to engineering best practices.
   

• Drive operational excellence across testing, CI/CD, performance optimization, reliability, security, and cost management.
   

Requirements

Required Qualifications & Skills

• 6+ years of professional software engineering experience, including at least 3 years building production-grade ML/AI or LLM-based systems.
   

• Strong Python skills and proficiency in TypeScript/Node.js (or similar), with a proven record of shipping production services.
   

• Hands-on experience with LLMs: prompt design, tool/function calling, retrieval-augmented generation (RAG), and agent frameworks (LangChain, LlamaIndex, Semantic Kernel) or custom orchestration.
   

• Solid data and infrastructure knowledge: vector databases (pgvector, Pinecone, Weaviate), search engines (Elasticsearch/OpenSearch), SQL databases (Postgres), and caching systems (Redis).
   

• Experience with cloud environments (AWS/GCP/Azure), containers (Docker), orchestration/serverless platforms (Kubernetes/Lambda), CI/CD, and observability tools.
   

• Strong understanding of API and distributed systems design, with an emphasis on reliability, performance, security, and cost-efficiency.
   

• A product-oriented mindset and excellent communication skills; comfortable owning solutions end to end in a fast-moving environment.
   

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
   

Preferred Qualifications

• Experience building no-code/low-code platforms, visual builders, or workflow engines.
   

• Background in model customization (fine-tuning/LoRA, distillation, embeddings) and GPU inference optimization (vLLM, TensorRT/Triton).
   

• Familiarity with LLM evaluation and observability tools (Langfuse, Weights & Biases), A/B testing, and prompt/version management.
   

• Open-source contributions, publications, or a strong portfolio of AI or agentic systems deployed to production.
   

Urban Recruits specialises in connecting companies of all sizes—from startups to large tech companies, defense and cybersecurity—with the industry's brightest minds.We focus on recruiting top-tier developers, DevOps engineers, QA professionals, data experts and more. Our tailored approach ensures that each placement not only meets your technical needs but also aligns with your company's unique culture and growth goals.