AI Native Engineer

Reposted Yesterday
Be an Early Applicant
2 Locations
In-Office
17K-56K Annually
Junior
Information Technology
The Role
Develop and deploy full-stack applications incorporating AI coding tools, LLM APIs, agentic systems, and enterprise AI platforms. Responsibilities include software design, development, testing, debugging, code reviews, documentation, deployment, production support, API development, AI output validation, metrics tracking, and collaboration with Agile teams and clients. The role also contributes reusable engineering components, standards, and responsible AI practices.
Summary Generated by Built In
AI Native Software Engineer (Analyst / Senior Analyst)

📍 Location: Vilnius, Lithuania / Riga, Latvia
🕒 Full-Time | 40 Hours per Week

Shape the Future of AI-Native Engineering

We'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 environments
  • Opportunities to work with leading AI technologies and cloud platforms
  • Access to learning and certification pathways in AI and software engineering
  • Collaboration with specialists across Microsoft, OpenAI, Anthropic, Google, and other AI ecosystems
  • A clear development path toward advanced AI Engineering and Forward Deployed Engineering roles
What You'll Do
  • 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
What We're Looking ForRequired Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field
  • Commercial software development experience, or equivalent experience gained through internships, academic programs, or personal projects
  • Strong programming skills in at least one backend language:
    • Python
    • Java
    • TypeScript
  • Experience using AI tools as part of day-to-day software development
  • Understanding of web development fundamentals, including JavaScript, HTML, and CSS
  • Familiarity with cloud technologies (AWS, Azure, or GCP)
  • Experience working with databases (SQL and/or NoSQL)
  • Understanding of Agile delivery methodologies
  • Awareness of software development best practices, CI/CD pipelines, and containerization technologies such as Docker
AI & Emerging Technology Experience

We are particularly interested in candidates who can demonstrate:

  • Practical use of AI-assisted development tools to improve productivity and delivery outcomes
  • Experience integrating LLM APIs into applications
  • Understanding of token management, latency considerations, and cost optimization when working with AI services
  • Ability to assess, refine, and improve AI-generated outputs
  • Knowledge of AI limitations, risks, and responsible AI practices
  • Familiarity with agentic systems, RAG architectures, LangChain, LangGraph, or similar frameworks
  • Understanding of how modern applications connect with AI-driven systems and workflows
What Success Looks Like

You'll thrive in this role if you are:

  • 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
Locations
  • Vilnius, Lithuania
  • Riga, Latvia

Compensation 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 month
Latvia €1,400 to €3,800 gross per month
Ready to build the future of AI-native software engineering? We'd love to hear from you.

About Accenture

Accenture 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 Statement

We 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.

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field
  • Commercial software development experience or equivalent experience through internships, academic programs, or personal projects
  • Strong programming skills in at least one backend language: Python, Java, or TypeScript
  • Experience using AI tools in day-to-day software development
  • Understanding of web development fundamentals, including JavaScript, HTML, and CSS
  • Familiarity with cloud technologies such as AWS, Azure, or GCP
  • Experience working with SQL and/or NoSQL databases
  • Understanding of Agile delivery methodologies
  • Awareness of software development best practices, CI/CD pipelines, and Docker or similar containerization technologies
  • Practical use of AI-assisted development tools to improve productivity and delivery outcomes
  • Experience integrating LLM APIs into applications
  • Understanding of token management, latency considerations, and cost optimization for AI services
  • Ability to assess, refine, and improve AI-generated outputs
  • Knowledge of AI limitations, risks, and responsible AI practices
  • Familiarity with agentic systems, RAG architectures, LangChain, LangGraph, or similar frameworks
  • Understanding of how modern applications connect with AI-driven systems and workflows

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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