CrawlJobs Logo

Backend Engineer - AI Integration

gipo.it Logo

Gipo

Location Icon

Location:
Italy , Bologna

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

We are seeking a talented Backend Engineer to help us architect and build the next iteration of our AI-powered products. You will drive the innovation of our AI integration and build modern, scalable, real-time architecture, unlocking new capabilities and performances, starting from our conversational AI products. You’ll collaborate closely with AI engineers, product managers, and the broader engineering team.

Job Responsibility:

  • Architect, develop, and maintain scalable, robust backend services, starting from our voice and chat AI applications
  • Experiment with new technologies to achieve real-time and seamless integrations, implementing POCs to try the latest trends in AI environment, partnering with AI/LLM engineers
  • Integrate 3rd party API integration such as Twilio (voice), WhatsApp, ElevenLabs, OpenAI and others
  • Implement real-time communication features (websockets, streaming), conversation architectures, and advanced voice capabilities
  • Design, build, maintain, and improve multi-agent orchestration frameworks for AI-powered conversations
  • Collaborate on CI/CD pipelines, ensure robust monitoring, logging, and operational support
  • Write clear documentation and support knowledge transfer within the team

Requirements:

  • 3+ years of experience in OOP Backend Engineering
  • Proven skills in building real-time APIs (websockets, streaming, etc.) and familiarity with async programming
  • Hands-on experience integrating LLMs (preferably OpenAI), knowledge of MCP and exposure to multi-agent architectures
  • Experience integrating with third party communications APIs
  • Experience with database technologies (SQL and NoSQL), caching techniques and performance tuning
  • Experience with automated testing tools at various levels (unit testing, integration testing, e2e testing)
  • Strong communication and collaboration skills

Nice to have:

  • Experience working with containerization (Docker) and cloud infrastructure (AWS, GCP, or Azure)
  • Experience with conversational AI frameworks (chatbot, voice assistant) and with AI/ML frameworks (LangChain, LangGraph)
  • Experience integrating with 3rd party communications APIs. Previous experience with Twilio and/or Whatsapp is highly desirable
  • Previous work migrating legacy systems to modern stacks
  • Experience with real-time speech processing, TTS/STT, and telephony systems and PBXs (Asterisk, FreePBX, etc.)
What we offer:
  • 100% remote work, with the option to join our offices in Bologna or Barcelona
  • One extra day off for your birthday
  • Access to iFeel – our mental wellbeing platform
  • Italy-specific: €8/day meal vouchers – lunch is covered if you're in the Bologna office
  • Italy-specific: Private health coverage via Metasalute
  • Spain-specific: Comprehensive private health insurance with Adeslas
  • Spain-specific: Flexoh – flexible compensation platform
  • Spain-specific: Wellhub – gym & wellness network membership
  • Spain-specific: Language courses

Additional Information:

Job Posted:
January 06, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Backend Engineer - AI Integration

Software Engineer, Backend (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
Canada , Toronto
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science or a related field
  • 2+ years of experience in backend system architecture, cloud services, or related technology fields
  • Knowledge in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST
  • Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases
  • Experience in containerized application deployment using Kubernetes and Docker in microservices architectures
  • Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models
  • Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions
  • Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities
  • Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability
  • Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents
What we offer
What we offer
  • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
  • Paid parental leave to support you and your family
  • Monthly Health & Wellness allowance
  • Work from home office stipend to help you succeed in a remote environment
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Backend (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
Canada , Toronto
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science or a related field
  • 5+ years of experience in backend system architecture, cloud services, or related technology fields
  • Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST
  • Previous experience working with Virtual Agent or AI Agent systems
  • Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases
  • Experience in containerized application deployment using Kubernetes and Docker in microservices architectures
  • Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models
  • Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions
  • Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities
  • Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability
  • Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents
What we offer
What we offer
  • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
  • Paid parental leave to support you and your family
  • Monthly Health & Wellness allowance
  • Work from home office stipend to help you succeed in a remote environment
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
Read More
Arrow Right

Senior AI Product Engineer, Backend

Our Backend Engineering team builds all of the highly scalable distributed servi...
Location
Location
United States
Salary
Salary:
125000.00 - 225000.00 USD / Year
arize.com Logo
Arize
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience working with high-performance backend systems
  • Strong experience writing Go, Python, TypeScript/Node, Java, or similar server programming languages
  • Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies
  • Previous work building and operating highly complex SaaS platforms/systems
  • Knowledge of working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc.
Job Responsibility
Job Responsibility
  • Write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, with opportunities to work in TypeScript
  • Build high-volume and highly available analytics systems
  • Design and build APIs specific to our customers’ Machine Learning and LLM workflows
  • Prototype, optimize, and maintain scalable backend services that power the Arize core platform
  • Extend, and contribute back to, open source OLAP databases and distributed message queue frameworks
  • Develop and integrate collection tools for robust monitoring of ML and LLM pipelines
  • Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment
  • Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings
  • Contribute to the build our own in-house AI Agents
What we offer
What we offer
  • competitive equity package
  • comprehensive benefits package, including medical, dental, vision
  • a 401(k) plan
  • unlimited paid time off
  • a generous parental leave plan
  • additional support for mental health and wellness
  • WFH monthly stipend to pay for co-working spaces
  • Fulltime
Read More
Arrow Right

Senior Software Engineer – AI Assistant Integration Expert

Take your career to the next level with Amaris Consulting as a Senior Software E...
Location
Location
Spain , Barcelona
Salary
Salary:
Not provided
amaris.com Logo
Amaris Consulting
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 5 years of experience as a Software Engineer
  • At least 1 year of hands-on experience using GitHub Copilot in real-world projects
  • Strong practical knowledge of Java or .NET (C#)
  • Deep understanding of software architecture patterns and SOLID principles
  • Proven ability to write clean, maintainable code and follow best practices
  • Experience configuring GitHub Copilot in IDEs such as Visual Studio, VS Code, IntelliJ, or Eclipse
  • Ability to coach and train developers and QA engineers
  • Fluent in English (Spanish is a plus)
  • Hands-on mindset – not theoretical, but someone who codes daily
Job Responsibility
Job Responsibility
  • Define and implement guidelines for AI usage in software development
  • Collaborate with software architects and tech leads to document best practices and antipatterns per programming language
  • Create documentation and training materials for developers and QA engineers
  • Provide hands-on support to ~40 software squads to integrate GitHub Copilot and other AI tools
  • Configure GitHub Copilot extensions and ensure proper repository setup
  • Train teams on using Copilot commands (e.g., createWorkspace, explain, doc, fix, optimize)
  • Guide QA teams on AI tools for test case generation and optimization
  • Conduct “train the trainer” sessions to empower internal champions
What we offer
What we offer
  • Tailored career path and salary evaluation
  • Tech Academy catalog, Udemy E-learning Platform, Languages Sessions, webinars, and workshops
  • Annual personal training budget and company-paid certifications
  • Flexible policies and remote work options
  • Transit and restaurant tickets
  • Kindergarten support
  • Private health insurance
  • WeCare program supporting employees in critical situations
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...
Location
Location
Canada; United States
Salary
Salary:
160000.00 - 260000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
  • Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Python Proficiency: Expert-level Python skills for production AI systems
  • Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
  • LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
  • Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
  • System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
  • Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year, flex PTO, and parental leave
  • employee assistance program and wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • FSA/HSA and medical, dental, and vision benefits
  • Fulltime
Read More
Arrow Right

Senior LLM Backend Engineer

We are looking for a Senior Backend Engineer with a strong focus on Large Langua...
Location
Location
Spain
Salary
Salary:
Not provided
bark.com Logo
Bark
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive production experience with Python in backend engineering
  • Proven experience integrating LLMs into applications via APIs or SDKs
  • Strong experience building and maintaining APIs for LLM-based features
  • Strong experience building and maintaining event-driven workflows
  • Strong experience building and maintaining business logic that consumes AI outputs
  • Strong experience building and maintaining integrations with 3rd party AI/ML platforms
  • Solid SQL and NoSQL experience (especially in AI data pipelines)
  • Production experience with Docker, ideally with Kubernetes or AWS Fargate/ECS/EKS
  • Experience deploying and maintaining AI services in cloud environments
  • Strong organisational skills and ability to deliver in a fast-paced, product-focused environment
Job Responsibility
Job Responsibility
  • Work with product managers to understand user needs and translate them into AI-powered functionality
  • Design and build APIs, services, and workflows that integrate LLMs (both proprietary and open-source)
  • Implement prompt engineering, RAG pipelines, and model fine-tuning where required
  • Optimise AI inference performance, scalability, and cost-effectiveness
  • Ensure AI features meet high standards for security, reliability, and maintainability
  • Collaborate with other engineers to integrate AI features seamlessly into the wider system
  • Stay on top of emerging LLM technologies and best practices, running experiments and sharing knowledge across the team
What we offer
What we offer
  • Fully remote working
  • Personal annual L&D Budgets with 600€ to spend on your development
  • Being at the forefront of an industry with new and exciting problems to solve
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...
Location
Location
India
Salary
Salary:
Not provided
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
  • Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
  • System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
  • Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
What we offer
What we offer
  • Invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact
  • Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed
  • We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins
Read More
Arrow Right

Staff AI Engineer

As a Staff AI Engineer on our AI Engineering team, you will be responsible for b...
Location
Location
United States
Salary
Salary:
200000.00 - 280000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems
  • Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Develop and optimize prompting strategies
  • Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems
  • Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
  • Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows
  • Develop systems that maintain conversational context across complex multi-turn interactions
  • Build scalable large language model and agentic platforms
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year, flex PTO, and parental leave
  • employee assistance program and wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • FSA/HSA and medical, dental, and vision benefits
  • Fulltime
Read More
Arrow Right