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Junior AI Native Engineer

Accenture

Junior AI Native Engineer

full-timePosted: Aug 28, 2026Vilnius

Job Description

AI Native Software Engineer (Analyst / Senior Analyst)📍 Location: Vilnius, Lithuania / Riga, Latvia🕒 Full-Time | 40 Hours per WeekShape the Future of AI-Native EngineeringWe're building the next generation of AI-native software engineers who use AI as a core part of how they build, test, and deliver software, not as an add-on.As an AI Native Software Engineer (Analyst / Senior Analyst), you'll design, develop, and deploy production-grade software across the full stack while leveraging AI-assisted development tools as part of your everyday workflow. You'll work on real client projects across multiple industries, building applications that integrate with modern AI systems, including agentic architectures, LLM-powered solutions, and enterprise AI platforms.This is not an entry point into AI, it's an opportunity to build a long-term career in one of the fastest-growing and most sought-after areas of technology.Why Join Us?We offer something few organizations can match:Exposure to projects across diverse industries and enterprise environmentsOpportunities to work with leading AI technologies and cloud platformsAccess to learning and certification pathways in AI and software engineeringCollaboration with specialists across Microsoft, OpenAI, Anthropic, Google, and other AI ecosystemsA clear development path toward advanced AI Engineering and Forward Deployed Engineering rolesWhat You'll DoUse AI coding assistants daily to accelerate software delivery and improve qualityDesign, build, and maintain modern full-stack applicationsIntegrate Large Language Model (LLM) APIs into production applicationsApply AI throughout the software development lifecycle, including testing, debugging, code reviews, and documentationEvaluate and validate AI-generated outputs to ensure quality, reliability, and securityDefine and track metrics that demonstrate the effectiveness of AI-assisted developmentDeliver solutions end-to-end, from design and development through deployment and production supportWork closely with Agile teams and client stakeholdersDevelop APIs, interfaces, and application components that connect business applications with AI and agentic systemsContribute reusable components, engineering standards, and internal AI best practicesWhat We're Looking ForRequired QualificationsBachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related fieldCommercial software development experience, or equivalent experience gained through internships, academic programs, or personal projectsStrong programming skills in at least one backend language:PythonJavaTypeScriptExperience using AI tools as part of day-to-day software developmentUnderstanding of web development fundamentals, including JavaScript, HTML, and CSSFamiliarity with cloud technologies (AWS, Azure, or GCP)Experience working with databases (SQL and/or NoSQL)Understanding of Agile delivery methodologiesAwareness of software development best practices, CI/CD pipelines, and containerization technologies such as DockerAI & Emerging Technology ExperienceWe are particularly interested in candidates who can demonstrate:Practical use of AI-assisted development tools to improve productivity and delivery outcomesExperience integrating LLM APIs into applicationsUnderstanding of token management, latency considerations, and cost optimization when working with AI servicesAbility to assess, refine, and improve AI-generated outputsKnowledge of AI limitations, risks, and responsible AI practicesFamiliarity with agentic systems, RAG architectures, LangChain, LangGraph, or similar frameworksUnderstanding of how modern applications connect with AI-driven systems and workflowsWhat Success Looks LikeYou'll thrive in this role if you are:Passionate about software engineering and emerging AI technologiesCurious, adaptable, and eager to continuously learnComfortable combining strong engineering fundamentals with AI-assisted developmentAble to balance innovation with sound engineering judgmentExcited to work on challenging projects across different industries and technology stacksLocationsVilnius, LithuaniaRiga, LatviaCompensation at Accenture varies depending on a wide array of factors including but not limited to role, level, location, effort, responsibility, skillset and level of experience. The range of pay for this role is:Lithuania €1,710 to €4,700 gross per monthLatvia €1,400 to €3,800 gross per monthReady to build the future of AI-native software engineering? We'd love to hear from you.About AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com Equal Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Locations

  • Vilnius
  • Riga

Skills Required

  • AI tools as part of day-to-day software developmentintermediate
  • cloud technologiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field (degree in computer science)
  • Commercial software development experience, or equivalent experience gained through internships, academic programs, or personal projects (experience)
  • Strong programming skills in at least one backend language:PythonJavaTypeScript (experience)
  • Experience using AI tools as part of day-to-day software development (experience)
  • Understanding of web development fundamentals, including JavaScript, HTML, and CSS (experience)
  • Familiarity with cloud technologies (AWS, Azure, or GCP) (experience)
  • Experience working with databases (SQL and/or NoSQL) (experience)
  • Understanding of Agile delivery methodologies (experience)
  • Awareness of software development best practices, CI/CD pipelines, and containerization technologies such as Docker (experience)

Responsibilities

  • Use AI coding assistants daily to accelerate software delivery and improve quality
  • Design, build, and maintain modern full-stack applications
  • Integrate Large Language Model (LLM) APIs into production applications
  • Apply AI throughout the software development lifecycle, including testing, debugging, code reviews, and documentation
  • Evaluate and validate AI-generated outputs to ensure quality, reliability, and security
  • Define and track metrics that demonstrate the effectiveness of AI-assisted development
  • Deliver solutions end-to-end, from design and development through deployment and production support
  • Work closely with Agile teams and client stakeholders
  • Develop APIs, interfaces, and application components that connect business applications with AI and agentic systems
  • Contribute reusable components, engineering standards, and internal AI best practices
  • Passionate about software engineering and emerging AI technologies
  • Curious, adaptable, and eager to continuously learn
  • Comfortable combining strong engineering fundamentals with AI-assisted development
  • Able to balance innovation with sound engineering judgment
  • Excited to work on challenging projects across different industries and technology stacks

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