Senior Software Engineer
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At a glance
- Employment type
- Contract
- Location
- Dublin, Ireland
- Workplace
- On-site
- Day rate
- €600/day (EUR)
- Category
- Full-stack
Technologies & skills
What you'll be doing
Join a leading global insurance company as a Senior Software Engineer, focusing on greenfield AI product development. You'll build intelligent agents from scratch using Python and Azure, shaping the future of AI in insurance. This role offers autonomy in design and engineering, working with top-tier engineers and C-suite leaders.
- Build AI agents from scratch using Python and Azure
- Build and maintain RAG pipelines and integrations across a range of data sources and services
- Design evaluation metrics and evaluation loops for LLM agents
Key requirements
Must-have
- Strong backend/Python development experience
- Experience building AI agents
- Start up environment experience/Small teams
Experience: NotSpecified
Role signals
- Technical focus
- Full-stack
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
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Full job description
Senior Software Developer – Daily rate up to €600
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Greenfield project within a leading global insurance company
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Agentic AI product development of intelligent agentic solutions that transform real-world insurance processes
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Python, LLMs, A2A, MCP
A leading global insurance organisation is undertaking an exciting greenfield transformation, building AI agents from 0 to build the next generation of AI-native insurance model from the ground up.
This is an excellent opportunity for a Senior Software Developer with deep backend expertise using tools likeLLMs and Python to help shape the next frontier of AI and A2A technology.
If you are hungry for an interesting challenge to build what hasn’t been built before, you will have the autonomy to design and engineer intelligent agents and redefine how AI systems collaborate, reason, and act.
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Why You’ll Love It Here:
- Join a newly formed AI team of top-tier engineers building the future from the ground up
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Own the direction from day one, shaping architecture, engineering standards, team culture, and the vision for a truly
greenfield AI platform
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Work at the cutting edge of AI across OpenAI, LLMs, autonomous AI agents, Copilot solutions, and emerging agent-to-agent technologies
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Partner directly with C-suite leaders at a global, multinational organisation, turning bold AI strategy into technology deployed at scale
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Build AI that matters – design and ship intelligent agents with tangible, real-world impact
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You Will:
- Build AI agents from scratch using Python and Azure
-
Build and maintain RAG pipelines and integrations across a range of data sources and services
-
Design evaluation metrics and evaluation loops for LLM agents
-
Skills / Experience:
- Strong backend/Python development experience
-
Experience building AI agents
-
Start up environment experience/Small teams
For more information, contact
For additional opportunities, visit the Archer Recruitment website
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the role of Senior Software Engineer focuses on building AI agents from the ground up using Python and Azure within a greenfield project in the insurance sector.
- Backend Development·High
- AI Agent Development·High
- Architecture Design·High
- Integration of Data Sources·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review AI Agent Development
0–10 minSpend time understanding the principles and technologies behind AI agents.
Study RAG Pipelines
10–15 minResearch the architecture and best practices for building RAG pipelines.
Familiarize with Azure Services
15–20 minLook into Azure services that are relevant for AI development.
Prepare Personal Examples
20–30 minIdentify and structure examples from your experience that align with the focus areas.
Talking points
, 4 itemsBackend Development Experience
Prepare examples of your backend development projects, particularly using Python, to demonstrate your technical expertise.
Building AI Agents
Discuss your experience in developing AI agents, including any specific projects or technologies you've used.
Working in Start-up Environments
Share experiences from previous roles in small teams or start-ups, highlighting your adaptability and innovation.
Architecture and Design Decisions
Be ready to explain your approach to designing software architecture, especially in the context of AI systems.
What to research
, 3 itemsResearch AI Agent Technologies
Familiarize yourself with the latest advancements in AI agents, particularly in the insurance sector.
Understand RAG Pipelines
Study the architecture and components of RAG pipelines and their role in AI development.
Explore Azure Services for AI
Review Azure services that are relevant for building AI applications, especially those related to data processing and machine learning.
Questions to ask
, 5 itemsWhat are the key challenges the team is currently facing in this project?
Why ask this? To understand the current state of the project and how you can contribute.
How does the team measure success for the AI agents being developed?
Why ask this? To gain insight into performance metrics and expectations.
What is the team culture like, especially in terms of collaboration and innovation?
Why ask this? To assess if the work environment aligns with your preferences.
Can you describe the decision-making process for architectural choices?
Why ask this? To understand how much autonomy you will have in design decisions.
What opportunities are there for professional development within the team?
Why ask this? To learn about growth opportunities and support for skill enhancement.
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