Job Description :

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.