Senior AI Application Developer

Job Summary

We are seeking an experienced AI Application Developer to build and deliver enterprise-grade AI solutions. The ideal candidate combines strong software engineering fundamentals with hands-on experience developing production-ready applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern AI integration frameworks.

This role centers on implementation, integration, optimization, and productionization of AI-powered solutions rather than AI research or model training.

Responsibilities

• Design and develop scalable backend services and REST/GraphQL APIs

• Implement AI-powered features using LLMs and generative AI technologies

• Build, maintain, and optimize RAG pipelines, including vector database integration and retrieval strategies

• Develop AI agents and tool integrations, including MCP-based workflows

• Apply prompt engineering and prompt management practices across AI features

• Optimize AI application performance, latency, and token/cost consumption

• Implement AI security controls, guardrails, and governance requirements

• Monitor, troubleshoot, and continuously improve production AI systems

• Collaborate with architects and product teams to deliver enterprise AI solutions

Required Skills

Software Engineering

• Python

• Microservices architecture

• REST & GraphQL APIs

• Authentication & authorization

• Caching strategies

• Cloud-native development

AI Engineering

• LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI)

• RAG architectures & vector databases

• Agent frameworks and MCP concepts & integrations

• Prompt engineering & prompt management

• Context engineering and AI workflow orchestration

Production Readiness

• Cost and latency optimization

• AI observability

• Security and compliance

• Production deployment experience

Nice to Have

Experience with tooling such as LiteLLM (LLM gateway/routing) or Langfuse (prompt & observability tracing) is a plus.