refresh

Trending companies

Trending companies

Accenture
Accenture

Let there be change.

AI Engineer – Generative AI / LLMs / RAG

RoleMachine Learning
LevelMid Level
LocationCluj-Napoca; Targu Mures; Timisoara
WorkOn-site
TypeFull-time
Posted3 weeks ago
Apply now

We are looking for an AI Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. You will design, build, and deploy intelligent applications such as chatbots, copilots, and AI-powered automation tools. This role combines software engineering, machine learning, and prompt/context engineering to deliver scalable, production-ready AI systems.

Key Responsibilities

  • Design and implement AI-powered applications using LLMs (OpenAI, Anthropic, open-source models, etc.)

  • Build and optimize RAG pipelines (vector databases, embeddings, retrieval strategies)

  • Develop chatbots and conversational AI systems with strong context management

  • Implement prompt engineering and context engineering strategies for reliable outputs

  • Integrate LLMs into backend systems via APIs and microservices

  • Work with vector databases (Pinecone, Weaviate, FAISS, etc.)

  • Optimize performance, latency, and cost of AI systems

  • Evaluate model outputs and implement guardrails (safety, hallucination reduction)

  • Collaborate with product and engineering teams to define AI features

  • Deploy and monitor AI services in cloud environments (AWS, Azure, GCP)

Required Qualifications

  • Strong programming skills in Python (preferred) or similar languages

  • Experience working with LLMs and GenAI frameworks (Lang Chain, Llama Index, etc.)

  • Solid understanding of RAG architectures and embeddings

  • Experience building APIs and scalable backend systems

  • Familiarity with prompt engineering and evaluation techniques

  • Understanding of vector search and semantic retrieval

  • Experience with cloud platforms and containerization (Docker, Kubernetes is a plus)

Preferred Qualifications

  • Experience with fine-tuning or adapting LLMs

  • Knowledge of transformers and NLP fundamentals

  • Experience with agent-based systems or tool-using LLMs

  • Familiarity with ML Ops / LLM Ops practices

  • Experience with real-time conversational systems

  • Exposure to evaluation frameworks (RAG eval, LLM benchmarking)

Nice to Have

  • Experience with multi-modal models (text, image, audio)

  • Knowledge of knowledge graphs or hybrid retrieval systems Your life at Accenture

At Accenture, we prioritize your health and well-being through comprehensive health insurance coverage and inclusive work arrangements. We value your growth and offer diverse learning and development paths, along with performance-based rewards. You'll also have access to resources for mental health and physical wellness, ensuring inclusivity and support. We provide additional financial support, flexible benefits, and care for your loved ones, respecting diverse circumstances.

Join us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.

The position is available exclusively for collaboration under an individual working contract (CIM).

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.

Total Views

0

Total Apply Clicks

0

Total Mock Apply

0

Total Bookmarks

0

About Accenture

Accenture

Accenture

Public

Accenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.

10,001+

Employees

Dublin

Headquarters

$139B

Valuation

Reviews

9 reviews

3.6

9 reviews

Work-life balance

2.8

Compensation

3.2

Culture

3.4

Career

3.7

Management

3.1

62%

Recommend to a friend

Pros

Good career growth and learning opportunities

Great culture and work environment

Good compensation and benefits

Cons

Office politics and political environment

Long hours and stressful work

Low starting salary below market rate

Salary Ranges

21 data points

L2

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

L3

L4

L5

L2 · Data Scientist L2

0 reports

$14,221

total per year

Base

$5,688

Stock

$7,111

Bonus

$1,422

$9,955

$18,487

Interview experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

100%

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

Common questions

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge