At a Glance
- Tasks: Design and implement advanced AI workflows and optimise performance for our innovative Governa AI product.
- Company: Join a cutting-edge tech company focused on developing complex AI systems.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: 2-3 years in AI/ML engineering with strong Python skills and architectural mindset.
The predicted salary is between 121500 - 148500 $ per year.
We are looking for an AI Engineer to join our core team to accelerate the development of the Governa AI product. This is not a role for someone who simply integrates API endpoints. We are building complex, multi-agent systems that require a deep understanding of state management, concurrency, reliability, and production-grade AI architecture. You will be responsible for architecting agentic workflows, optimising our Retrieval-Augmented Generation (RAG) pipelines, and ensuring that AI interactions are performant, secure, and observable in production environments.
Technical Stack & Responsibilities
- Agentic Design & Orchestration
- Design and implement sophisticated agentic workflows using LangChain and LangGraph
- Apply agentic design patterns (Reflection, Planning, Tool Use) to solve non-linear problems
- Build and maintain high-performance backend services using FastAPI
- Optimise vector databases and embedding strategies to improve retrieval precision
- Engineer complex SQL queries with strong emphasis on efficiency and safety (including SQL injection prevention in LLM-driven contexts)
- Manage data pipelines and PII handling to maintain strict privacy and compliance standards
- Performance & Reliability
- Implement concurrency patterns to handle high-throughput LLM interactions
- Utilise observability and monitoring tools to trace agent reasoning and debug hallucinations
- Refine prompt engineering strategies and LLM integrations (OpenAI and open-source models) to ensure consistent, high-quality output
What We’re Looking For
- 2-3 years of professional experience specifically in AI/ML engineering, or advanced backend roles with strong LLM exposure
- Advanced Python mastery – including async programming, type hinting, and performance profiling
- Architectural mindset – you design scalable systems, understand HTTP/REST best practices, and can scale distributed services
- The 'Agentic' edge – direct experience with LangGraph or similar state-machine-based orchestration frameworks is highly preferred
- Security-first thinking – knowledge of PII scrubbing and safe data handling within AI-driven systems
AI Engineer employer: Chandler Holdings
Join a dynamic and supportive team as a Client Operations & Scheduling Coordinator, where your proactive approach will be valued in a fully remote setting. Enjoy the flexibility of managing your own schedule while receiving direct training from leadership, fostering both personal and professional growth. With a culture that prioritises accountability and communication, you'll find meaningful opportunities to enhance client satisfaction and streamline operations.
