Applied AI Consultant Engineer

Alira Health; España; On-site; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Professional Development and Continuing Education

Global Connection and Travel

Supported Work-Life Balance

Access to Dynamic Clients and Projects

Job summary

Alira Health is searching for an Applied AI Consultant Engineer to join their team in Romblon, España. This hybrid role combines technical building with consulting, focusing on AI-powered innovations in healthcare and life sciences. Responsibilities include designing data pipelines, deploying LLMs, and leading strategic consulting projects.

Candidates should have strong Python skills, a relevant degree, and 2-5 years of experience in applied AI or data engineering. A supportive work environment with professional development opportunities is provided.

Qualifications

• 2-5 years of experience in applied AI or data engineering.
• Experience with LLM APIs and real-world project implementations.
• Strong communication skills to present to business audiences.

Responsibilities

• Support strategic consulting projects with analytical thinking.
• Design and implement data pipelines using Python.
• Deploy LLM-powered agents for automating consulting tasks.

Skills

Python programming

Data engineering

API integration

Prompt engineering

Education

Bachelor's degree in Computer Science

Master's degree in Data Science

Tools

REST APIs

Python libraries

Job description

• We are looking for an Applied AI Consultant Engineer to join our management consulting practice at the intersection of strategic project delivery and AI-powered innovation
• This hybrid role is designed for someone who can operate both as a technical builder and a consulting contributor, supporting client-facing strategic engagements while also leading internal initiatives to deploy AI agents, automation workflows and multi-agent systems that enhance how our team works
• You will be embedded within a senior consulting team, working across healthcare and life sciences projects, and will play a key role in shaping how AI transforms our delivery model from the inside out, including deploying LLMs-native capabilities directly into consulting workflows
• Consulting & Strategic Projects:
• Support the design and execution of strategic consulting projects, contributing sharp analytical thinking and structured problem-solving alongside AI-powered delivery
• Translate complex business problems into AI-driven solutions, working closely with project leads
• Communicate technical approaches and outputs to non-technical stakeholders, including client leadership
• Contribute to project scoping, workplan structuring, and deliverable preparation in a fast-paced, multi-project environment
• AI Engineering & Pipeline Development:
• Design and implement Python-based data pipelines integrating external data sources and APIs
• Develop automated workflows for data extraction, cleaning, filtering and transformation
• Integrate LLM APIs for classification, standardization and structured information extraction
• Design and refine prompt strategies and implement validation logic for structured outputs
• Build reusable components for query generation and multi-source data integration
• Ensure robustness, logging and maintainability of AI-powered workflows
• Agent Deployment & Internal AI Innovation:
• Design and deploy LLMs-powered agents to automate recurring consulting tasks such as research synthesis, document drafting, data analysis and reporting
• Build and maintain MCPs servers to expose internal tools, data sources and APIs as callable resources for agents
• Define and package custom skills and automation workflows that can be triggered within LLMs, turning repeatable consulting processes into structured, reusable agent capabilities
• Architect multi-agent systems where specialized agents collaborate on complex, multi-step tasks

Benefits

• Professional Development and Continuing Education
• Global Connection and Travel
• Supported Work-Life Balance
• Access to Dynamic Clients and Projects

Location: Barcelona, Spain (Hybrid with strong preference for in-office presence for collaboration)

• Strong Python programming skills, particularly in data processing, API integration, and modular design
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent practical experience)
• 2–5 years of experience in applied AI, data engineering, or a consulting-adjacent technical role
• Solid experience working with REST APIs and structured data (e.g., JSON)
• Experience with prompt engineering, structured outputs, tool use patterns and error handling
• Hands‑on experience working with LLM APIs in real‑world project settings
• Practical knowledge of MCP server design and implementation
• Working knowledge of Python (or R), SQL, and common data manipulation/visualization libraries
• Demonstrated experience building agents with tool use, skills, or multi‑agent coordination
• Familiarity with MCP ecosystems and third‑party MCP integrations
• Background in or exposure to management consulting workflows and deliverable formats
• Experience working with clinical, healthcare, or life sciences datasets
• Familiarity with RAG architectures, vector databases, or knowledge graph systems
• Organized and detail‑oriented; respects documentation and traceability requirements
• Strong communication skills, able to present technical work clearly to business audiences
• Team‑first mindset; collaborates effectively across functions and geographies
• Strong learning orientation; receptive to feedback and proactive about development
• Ability to work across multiple concurrent projects with a structured, autonomous mindset
• Reliable execution and follow‑through; escalates risks early and appropriately

Languages: English

Education: Bachelor of Science (BS) (Required), Masters of Science (MS): Computer and Information Science, Masters of Science (MS): Data Processing, Masters of Science (MS): Engineering, Masters of Science (MS): Statistics