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Full Stack LLM Development (Specialist/Associate Manager/Manager/Senior Manager) - Multiple Roles

Full Stack LLM Development (Specialist/Associate Manager/Manager/Senior Manager) - Multiple Roles
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On-site
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Full-time
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4d ago
As a member of Accenture's Data & AI team, you will work on developing and implementing state-of-the-art Full Stack solutions, including Large Language Models (LLMs). You will collaborate with cross-functional teams to design, build, and maintain scalable and efficient software systems that leverage AI and machine learning technologies to solve complex business problems.
Key Responsibilities:
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End-to-End designing, developing, and maintaining full-stack applications, ensuring seamless integration between front-end and back-end components.
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Develop and fine-tune Large Language Models for various applications, optimizing their performance and scalability.
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Integrate AI and machine learning models into full-stack applications, ensuring robust and efficient data pipelines.
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Work closely with data scientists, AI researchers, and other engineers to deliver high-quality AI-driven solutions.
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Write clean, maintainable, and efficient code, following best practices in software development.
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Implement testing frameworks and conduct thorough testing to ensure the reliability and stability of applications.
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Deploy applications to cloud platforms, monitor their performance, and make necessary improvements.
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Engage with clients to understand their needs, provide technical expertise, and deliver tailored full-stack AI solutions.
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Mentor junior engineers, providing guidance and fostering a collaborative and innovative environment.
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Lead and manage projects, ensuring timely delivery and alignment with client objectives.
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For All Levels
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Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
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Proficiency in front-end technologies (e.g., HTML, CSS, JavaScript, React, Angular).
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Proficiency in back-end technologies (e.g., Node.js, Python, Java, .NET).
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Experience with databases (SQL and NoSQL).
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Strong understanding of cloud platforms (e.g., AWS, Azure, GCP).
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Experience with AI/ML frameworks and libraries (e.g., Tensor Flow, Py Torch).
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Knowledge of data structures, algorithms, and software design principles.
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Strong problem-solving skills and attention to detail.
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Excellent communication and collaboration skills.
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Ability to adapt to rapidly changing technologies and methodologies in full-stack and AI development.
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Candidates with exceptional experience will be considered irrespective of years of experience.
Consultant Level
- Minimum 4 years of experience in full-stack development, including AI/ML integration.
- Demonstrated ability to develop and implement full-stack applications.
- Experience in developing and fine-tuning AI/ML models.
- Proficiency in creating and managing data pipelines.
- Experience in client-facing roles, understanding client needs, and delivering tailored solutions.
Manager Level
- Minimum 6 years of experience in full-stack development, including AI/ML integration.
- Proven experience in leading and managing full-stack projects and teams.
- Strong project management skills, with the ability to manage multiple projects simultaneously.
- Demonstrated experience in evaluating and selecting technologies and frameworks.
- Ability to work with cross-functional teams and drive project alignment.
- Experience in developing client relationships and providing strategic consulting.
Senior Manager Level:
- Minimum 8 years of experience in full-stack development, including AI/ML integration.
- Extensive experience in designing and implementing large-scale full-stack systems.
- Proven leadership skills with experience in managing large teams and complex projects.
- Strong strategic thinking and the ability to align full-stack architecture with business goals.
- Experience in mentoring and developing junior team members.
- Demonstrated ability to drive innovation and apply cutting-edge technologies to solve business problems.
- Significant experience in consulting, with a track record of delivering successful projects and building long-term client relationships.
Certifications (Optional, but a Plus)
- Relevant certifications in full-stack development, AI/ML, or project management (e.g., PMP, AWS Certified Developer, Google Cloud Professional Data Engineer).
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
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, military veteran status, sexual orientation, gender identity or expression, genetic information, 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.
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About Accenture

Accenture
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Employees
Dublin
Headquarters
Reviews
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Work Life Balance
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Compensation
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Culture
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Career
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Management
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
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Stock
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Bonus
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$44,681
$82,979
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
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Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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