Hybrid Generative AI Engineer - Lead ML & RAG

Hexa Consulting; Lisboa; Hybrid; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Private health insurance from day one

Mental health support through TEAM 24

Continuous training and certification

Hybrid work model

Childcare vouchers

Job summary

Hexa Consulting seeks a Mid AI Engineer to lead the design and development of Machine Learning, Generative AI and agentic solutions in a telecom context. The role is hybrid, spanning problem analysis to deployment and monitoring.

You will mentor junior data scientists, collaborate with cross-functional teams and define robust AI approaches, emphasizing scalability, reliability and business impact.

Qualifications

• Master’s level in Data Science, Statistics, CS or related field.
• At least 3 years of ML / Generative AI experience.
• Strong knowledge of modeling, optimization and LLM-based solutions.
• Ability to lead technical discussions and communicate with stakeholders.

Responsibilities

• Lead design of ML, Generative AI, RAG and AI agent use cases with business impact.
• Translate business needs into analytical AI-based solutions.
• Define technical approaches with ML, LLMs, prompts, embeddings and agentic frameworks.
• Contribute across the full lifecycle from problem framing to deployment and monitoring.
• Define evaluation frameworks for models, outputs, performance and reliability.
• Support optimization, robustness and scalability of AI solutions.
• Mentor junior Data Scientists and share knowledge within the team.
• Collaborate with cross-functional teams for alignment and delivery.

Skills

Generative AI

Embeddings

AI monitoring

Python

Spark

Java

LangChain

LangGraph

Education

Master’s degree in Data Science / Statistics / Computer Science or related

Tools

LangGraph

Job description

Hexa Consulting seeks a Mid AI Engineer to lead the design and development of Machine Learning, Generative AI and agentic solutions in a telecom context. The role is hybrid, spanning problem analysis to deployment and monitoring.

You will mentor junior data scientists, collaborate with cross-functional teams and define robust AI approaches, emphasizing scalability, reliability and business impact.