Artificial Intelligence Engineer

Job summary

Develop and deploy production-grade AI applications, agentic workflows, LLM-powered solutions, and RAG architectures using Python. Implement tool calling, REST API integrations, prompt engineering, and structured outputs, and support AI orchestration, observability, cloud deployment, CI/CD, and Docker-based deployments.

Job details

Contract Duration: 6 months Pay Rate/Salary: $100/hr to $110/hr Your New Role: We are seeking a Senior AI Engineer with 10+ years of experience to build and deploy production-grade AI solutions. The ideal candidate will have strong expertise in Python, Agentic AI, LLM-based applications, RAG, LangGraph, LangChain, and Langfuse, along with experience working on cloud platforms, preferably GCP. Key Responsibilities: Develop production-grade AI applications using Python. Build Agentic AI workflows and LLM-powered solutions. Design and implement RAG architectures. Develop tool-calling capabilities and REST API integrations. Implement prompt engineering and structured outputs. Utilize LangGraph, LangChain, and Langfuse for AI orchestration and observability. Deploy solutions on GCP (preferred), AWS, or Azure. Support CI/CD pipelines and Docker-based deployments. Required Skills: 10+ years of software engineering experience. Python. Agentic AI. LLM Applications. LangGraph, LangChain, Langfuse. RAG (Retrieval-Augmented Generation). Tool Calling. Prompt Engineering. REST API Integrations. GCP (Preferred), AWS or Azure. Docker & CI/CD. Data Science and Machine Learning Fundamentals. Nice to Have Vertex AI. MLOps. Vector Databases (Pinecone, Weaviate, Chroma). What You'll Get in Return: Opportunity to build and deploy production-grade AI solutions. Work on cutting-edge Agentic AI and LLM-based applications. Exposure to modern AI technologies and cloud platforms. Collaborate with highly skilled engineering teams on impactful AI initiatives. What You Need to Do Now: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career. This posting is for an existing vacancy with the organization. AI may be used to screen, assess or select applicants for the position.

What you’ll do

Develop and deploy production-grade AI applications, agentic workflows, LLM-powered solutions, and RAG architectures using Python. Implement tool calling, REST API integrations, prompt engineering, and structured outputs, and support AI orchestration, observability, cloud deployment, CI/CD, and Docker-based deployments.

Requirements

Requires 10+ years of software engineering experience and expertise in Python, Agentic AI, LLM applications, RAG, LangGraph, LangChain, and Langfuse. Candidates should also have experience with tool calling, prompt engineering, REST APIs, cloud platforms, Docker, CI/CD, and data science and machine learning fundamentals; GCP is preferred.

Listed skills

• Python · Preferred
• prompt engineering · Preferred
• Google Cloud · Preferred
• Amazon Web Services · Preferred
• Microsoft Azure · Preferred
• Docker · Preferred
• CI/CD · Preferred
• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Agentic AI
• LLM Applications
• Retrieval-Augmented Generation
• LangGraph
• LangChain
• Langfuse
• Tool Calling
• Prompt Engineering
• REST API Integrations
• GCP
• AWS
• Azure
• Docker
• CI/CD
• Machine Learning

Job areas

• Technology
• Software
• Engineering
• Data & Analytics

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