AI + Automation Engineer (Contract)

AI + Automation Engineer (Contract) Location: Remote (Global) Type: Contract (Part-Time or Full-Time Contracts Available) Team: Engineering & Delivery Language Requirement: Strong English proficiency required (C1/C2) About BluFlower BluFlower is a boutique, end-to-end engineering and automation consultancy. We design and build beautifully simple, deeply technical solutions across AI, business process automation, enterprise systems, IoT, and digital operations. Our mission is to solve real problems, execute with uncompromising quality, and deliver high-integrity systems that scale with our clients. We work fast, communicate clearly, and hold a high bar for craftsmanship, ownership, and reliability across every engagement.

About the Role

We are seeking a contract AI + Automation Engineer who is a true systems builder sitting at the intersection of AI Engineering, Software Development, and Business Process Automation. This is not a simple "low-code" role. You will be responsible for architecting and building robust, end-to-end intelligent systems that include AI/LLM pipelines, agentic/MCP workflows, RAG systems, and API integrations between new and legacy platforms (such as CRMs, ERPs, and MES tools). While you will utilize orchestration platforms like n8n or Make, they are just one part of your toolkit used to manage execution, not define the limits of what's possible. You will primarily use Python and AI frameworks like LangChain to build core logic, implement advanced AI agent capabilities, and design scalable data pipelines. Working directly with clients, architects, and product managers, you will translate business processes into modern AI-powered automations that materially improve efficiency, data quality, and operational performance. You are the architect and builder of our clients' 24/7 digital workforce. This role is ideal for engineers who thrive in fast-paced, client-facing environments and who take extreme ownership of delivery, communication, and execution. Key Responsibilities - AI Agent Development: Design, build, and evaluate sophisticated, stateful AI agents using LangChain. This includes implementing Retrieval-Augmented Generation (RAG) pipelines with vector databases for custom knowledge. - AI Evaluation & MLOps: Utilize tools like LangSmith for tracing, debugging, and A/B testing LLM applications to ensure high accuracy, reliability, and cost-effectiveness. - API & Data Architecture: Go far beyond webhooks. Design and build custom API integrations (REST/GraphQL), manage complex authentication, and architect data storage/transformation (ETL) pipelines (e.g., using SQL/NoSQL databases). - Workflow Orchestration: Design and manage complex, multi-step workflows. You will decide when to use a low-code platform for orchestration and when to build a custom Python microservice for performance, scalability, or complex logic. - Client-Facing Engineering: This is a client-centric role. You must be able to lead technical discovery calls, translate complex business requirements into technical specifications, and communicate timelines and trade-offs clearly to non-technical stakeholders. Core Skills & Experience - Engineering Foundation: Expert-level Python proficiency for backend development, data manipulation, and scripting. - AI/LLM Frameworks: Demonstrable, hands-on experience with LangChain and the OpenAI API. You must understand how to build chains, manage agent state, and implement RAG. - AI Evaluation & Ops: Practical experience using LangSmith (or a similar LLM-ops tool) to trace and evaluate agent performance. - API & Data Expertise: Mastery of REST and GraphQL APIs. You can read any API documentation and build a custom integration from scratch. - Data Storage & ETL: Strong experience with data storage and transformation. You must be comfortable with both SQL (e.g., PostgreSQL) and NoSQL (e.g., Firebase, Airtable) databases and handling complex JSON payloads. - Client & Communication Skills: Exceptional English literacy (written and verbal) is non-negotiable. You must be a clear, professional communicator capable of managing client expectations and documenting your work. - System Architecture: A proven ability to look at a manual business process and design a complete, automated system from the ground up. Bonus Qualifications - Cloud & Microservices: Experience with AWS (Lambda, S3, API Gateway, RDS) or Google Cloud Platform (GCP). - Frontend Development: Experience building simple user interfaces (e.g., React, Streamlit, Retool) to serve as dashboards or interaction points for your automations. - Workflow Orchestration: Familiarity with platforms like n8n or Make.com as a tool for workflow execution (this is secondary to your engineering skills).

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