LLM Model Developer Lisboa

Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.

Job Summary

Accenture is seeking a skilled and passionate LLM Model Developer to work from our office located in Lisbon. Applicants must have experience in Gen
AI/LLMs, Agentic AI and Python.

Responsibilities

• Support the integration and usage of internal Gen
  AI solutions and
  - leading tools (e. g. , Open
  AI, Azure, GCP, Vertex AI, Gemini).
• Implement and enhance SDLC-related use cases leveraging Agentic AI frameworks, such as generation of user stories and technical documentation, test case generation and automation, ticket dispatching automation and L1/L2 support suggestions, reverse engineering of legacy systems (including COBOL), API and RPA-based process automation and integration
• Drive continuous improvement initiatives by embedding practical AI innovation into application maintenance teams and operations.

Qualifications

• +3 years of professional experience in AI, automation, software development, or systems integration roles.
• Hands-on experience with Generative AI / LLMs, Python and common AI/ML libraries, API-based integrations and/or RPA tools.
• Understanding of cloud platforms and AI services (e. g. , Azure, GCP, Open
  AI)
• Exposure to agentic AI concepts and workflows
• Strong
  - solving mindset and a drive for operational efficiency
• Ability to work collaboratively in
  - functional teams

Preferred Qualifications

• Experience with AI coding assistants like Git
  Hub Copilot
• Familiarity with Vertex AI, Azure AI, Gemini, or similar Gen
  AI platforms
• Basic knowledge of legacy systems and reverse engineering practices (e. g. , COBOL)
• Understanding of SDLC tools and processes in enterprise environments
• Prior experience working in
  - scale IT service or consulting contexts