Software Engineer, Agent (Italian Speaking)

Hackajob Ltd; Greater London; On-site; GBP 90,000 - 110,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Life insurance and disability benefits

Retirement plan

Equity plans

Job summary

Were Sierra is building a platform that helps businesses create better, more human customer experiences with AI. Were a primarily in-person company based in San Francisco, with offices in London and other cities worldwide.

The founders have led roles at major tech companies, and the culture centers on trust, customer obsession, craftsmanship, intensity, and family. We offer full-time roles with benefits including medical, dental, vision, life insurance, disability, retirement plans, equity

Qualifications

• Experience building and scaling end-to-end production systems.
• Strong technical problem-solving skills in fast-changing environments.
• A builders and tinkerers mindset with high agency.
• Comfort working directly with customers to understand needs.
• Excellent communication with technical and non-technical audiences.
• Preferred: Experience building or deploying AI/LLM systems in production.
• Preferred: Founder or founding engineer experience balancing craft, ownership and speed.
• Preferred: Familiarity with AI agent tools and techniques (evaluation frameworks, agent tooling, RAG pipelines, prompt engineering).
• Preferred: Prior experience with React, TypeScript, and/or Go.
• Preferred: Experience interfacing with customers or leading technical projects with external stakeholders.

Responsibilities

• Design and deliver highly performant, reliable, intuitive, production-grade AI agents that support growth and scale across industries.
• Own the Agent Development Life Cycle from pilot to deployment and continuous iteration.
• Work directly with enterprise leaders to understand business challenges and build AI agents that transform operations at scale.
• Partner with startups in London to embed AI agents across their business stacks.
• Use customer work to identify unmet needs and collaborate with research, product, and platform teams.
• Design agents for telecommunications and media companies, including churn management and complex interactions.
• Develop generalizable AI agent frameworks for industry-specific use cases.
• Facilitate design partnerships for product initiatives and new architectures.
• Experiment with voice models and enterprise-scale integration.

Skills

End-to-end production systems

Technical problem solving

Owner mindset

Customer interaction

Communication skills

AI/LLM in production

Founder/founding engineer experience

AI agent tools

React

TypeScript

Go

Customer-facing projects

Tools

React

TypeScript

Go

Salesforce

VR

Job description

Salary: £100,000 - 100,000 per year

Requirements

• Experience building and scaling end-to-end production systems
• Strong technical problem-solving skills, particularly in fast-changing, ambiguous environments
• A builders and tinkerers mindset, with high agency and the ability to find creative ways to overcome obstacles and ship
• Comfort working directly with customers to understand their needs and solve real-world problems
• Excellent communication skills, with the ability to communicate clearly, directly, and persuasively with technical and non-technical audiences
• Preferred: Experience building or deploying AI/LLM systems in production
• Preferred: Experience as a founder or founding engineer, balancing craft, ownership, and speed
• Preferred: Familiarity with AI agent tools and techniques, such as evaluation frameworks, agent tooling, RAG pipelines, and prompt engineering
• Preferred: Prior experience with React, TypeScript, and/or Go
• Preferred: Experience interfacing with customers or leading technical projects with external stakeholders

Responsibilities

• Design and deliver highly performant, reliable, intuitive, production-grade AI agents that support our growth and run at scale across industries such as finance, healthcare, and commerce
• Own the Agent Development Life Cycle from initial pilot through deployment and continuous iteration, including building, tuning, and evolving agents in production and defining best practices
• Work directly with enterprise leaders to understand business challenges and build AI agents that transform operations at scale
• Partner with startups in London to embed AI agents across their business stacks and drive innovation and efficiency
• Use customer work to identify unmet needs, prototype tools and features, and collaborate with research, product, and platform teams to evolve our core platform
• Design agents for telecommunications and media companies, including agents that manage subscription churn and complex customer interactions
• Develop generalizable AI agent frameworks for industry-specific use cases
• Facilitate design partnerships for product initiatives, including new agent architectures, self-service capabilities, and generative agent development
• Experiment with voice models and determine how to integrate them at enterprise scale

Technologies

• AI
• AI Agents
• Support
• LLM
• RAG
• React
• Salesforce
• TypeScript
• CTO
• VR

More

Were Sierra, building a platform that helps businesses create better, more human customer experiences with AI. Were primarily an in-person company based in San Francisco, with offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. Our co-founders are Bret Taylor and Clay Bavor, whose experience includes leadership roles at Salesforce, Facebook, and Google. Our culture is grounded in trust, customer obsession, craftsmanship, intensity, and family. We offer full-time employees flexible paid time off; medical, dental, and vision benefits; life insurance and disability benefits; a retirement plan that varies by country; parental leave; fertility and family-building benefits; lunch, snacks, and coffee; a discretionary benefit stipend; and alphorn lessons. Eligible full-time employees may participate in our equity plans. Benefits may vary by region and are subject to applicable plans and policies. We value a diverse team and encourage people to apply even if their experience does not precisely match the role.

last updated 40 week of 2026