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AI Engineers
Indicium AI
London, UAE
Full Time
Senior
4 weeks ago
PythonLLM APIsRAG ArchitecturesVector DatabasesPrompt EngineeringAgentic Frameworks
Free
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PythonLLM APIsRAG Architectures
About the Role
Indicium AI seeks an experienced AI Engineer to design, build, and deploy production-grade AI systems powered by large language models. The role focuses on building reliable, scalable applications using LLM technologies, multi-agent orchestration, and robust production workflows.
Key Skills for This Role
PythonLLM APIsRAG ArchitecturesVector DatabasesPrompt EngineeringAgentic Frameworks
Responsibilities
- Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks
- Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability
- Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines
- Implement, maintain and evaluate retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE)
- Implement feedback loops and observability to continuously improve system performance
- Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations
Requirements
- Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes
- Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering
- Experience building multi step LLM workflows and agentic systems using frameworks or custom implementations
- Strong Python proficiency with production API/service development experience and cloud platform knowledge
- Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines
- Solid foundations of production grade, cloud native platform and infrastructure requirements, design, and implementation
- Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems
- Ability to work with ambiguity and optimise non deterministic systems through experimentation and evaluation
Full Job Posting
Overview
- We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models.
- This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research.
- You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows.
- You'll be crafting the orchestration layer that makes these systems production ready—handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale.
Responsibilities
- Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks.
- Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability
- Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines
- Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE)
- Implement feedback loops and observability to continuously improve system performance
- Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations
Required Skills And Experience
- Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes
- Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering
- Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed
- Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure)
- Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines
- Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation.
- Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems
- Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs
Nice to Haves
- Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot
- Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG
- Experience with real time streaming, multimodal models, or search technologies like Elasticsearch
- Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies
- Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices
- Experience with setting up tool calling agents, handoffs, and guardrails
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