AI Engineer

Job Title: Software/AI Engineer

Job Type: 6 months contract

• Design, develop, and deploy cloud-based data and AI solutions using AWS or Google Cloud Platform.
• Build scalable and production-ready applications using Python and other modern programming languages.
• Develop and integrate Generative AI and LLM-powered applications.
• Work with commercial and open-source LLMs such as:
• OpenAI / GPT
• Meta Llama
• Google Gemini
• Other open-source LLMs
• Build and implement Retrieval-Augmented Generation (RAG) solutions.
• Design RAG pipelines including document ingestion, preprocessing, chunking, embeddings, retrieval, reranking, context management, and response generation.
• Work with LangChain, LlamaIndex, LangGraph, and similar GenAI frameworks.
• Develop AI agents and graph-based AI workflows where applicable.
• Build integrations between LLMs, enterprise applications, APIs, databases, data platforms, and cloud services.
• Develop data ingestion and transformation pipelines supporting AI/ML and GenAI applications.
• Work with both structured and unstructured data.
• Implement vector search, embeddings, and vector database solutions.
• Build APIs and backend services to expose AI capabilities to enterprise applications.
• Implement monitoring, logging, testing, evaluation, and observability for AI/LLM applications.
• Optimize AI applications for performance, scalability, reliability, security, and cost.
• Troubleshoot production issues and continuously improve AI and data engineering solutions.
• Collaborate with architects, data engineers, software engineers, product teams, and business stakeholders to translate requirements into technical solutions.

• Python strongly preferred for AI/GenAI and data engineering
• C# / .NET
• Java
• JavaScript
• TypeScript

• Strong hands-on experience with AWS or Google Cloud Platform.
• Experience developing and deploying applications/services in a cloud environment.
• Experience with cloud-native architectures and services.
• Azure experience is a plus.
• Experience developing APIs and backend services.
• Experience with databases and distributed/cloud-based systems.
• Understanding of containers, serverless technologies, CI/CD, and DevOps practices is preferred.

• OpenAI / GPT models
• Meta Llama
• Google Gemini
• Open-source LLMs
• LLM APIs and model integration
• Prompt engineering
• Embeddings
• Vector search
• Model evaluation and optimization

• Document ingestion
• Data preprocessing and chunking
• Embeddings
• Vector databases / vector search
• Semantic retrieval
• Context construction
• Prompt orchestration
• Response generation
• RAG evaluation and optimization

• LangChain
• LlamaIndex
• LangGraph
• Other equivalent GenAI frameworks