Senior Software Engineer — AI & Automation, Lead Path

engineeringjobs.net, Inc.

Lis (IL)

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Tech equipment
Health & Life Insurance
Team events
Training in latest technologies
Café and snacks

Job summary

EU Bank is seeking a Senior Software Engineer to drive workflow automation and LLM-based tooling directly with business stakeholders. The role involves sitting with front-office operators, understanding workflows, and designing applications and automations that leverage modern LLM tools.

There is potential to expand into leading a small team, guiding AI² initiatives and shaping the future of AI within the organization.

Qualifications

  • 5 years of software engineering experience.
  • Strong communication skills with non-technical stakeholders.
  • Hands-on experience with LLM/AI tooling (agents, RAG, automation frameworks).
  • Strategic mindset with focus on team/capability building.
  • Experience with data-driven applications and workflows.
  • Prior team lead or mentoring experience is a plus.

Responsibilities

  • Engage with front-office operators to identify automation opportunities and pain points.
  • Design and build applications/workflow automations leveraging LLM tools.
  • Contribute to data architecture strategy for the AI² team within Bronze/Silver/Gold data architecture.
  • Set technical direction and best practices for the AI² team.
  • Grow into a team lead role after ~6 months and participate in hiring.

Skills

Software engineering
Communication
English fluency
Leadership potential
Strategy thinking
Data-driven mindset
Mentoring

Education

Engineering or related field

Tools

LLM tooling
Agents
RAG
Automation frameworks
Claude
MCP servers

Job description

EU Bank is seeking a Senior Software Engineer to drive workflow automation and LLM-based tooling directly with business stakeholders. The role involves sitting with front-office operators, understanding workflows, and designing applications and automations that leverage modern LLM tools.

There is potential to expand into leading a small team, guiding AI² initiatives and shaping the future of AI within the organization.

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