Prompt Engineer
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Role: Prompt Engineer
📍 Location: Brussels, Belgium
🏢 Company: Tata Consultancy Services (TCS) Belgium
📅 Employment Type: Full-time
About the Role
We are looking for a highly skilled Prompt Engineer to design, develop, and optimize advanced AI solutions leveraging Large Language Models (LLMs). The ideal candidate will have hands-on experience in prompt engineering, Retrieval-Augmented Generation (RAG), LLM fine-tuning, AI evaluation frameworks, and responsible AI practices.
You will work closely with cross-functional teams to build scalable, secure, and business-oriented generative AI solutions that deliver measurable impact.
Key Responsibilities
- Design, develop, and refine sophisticated prompt strategies for Large Language Models (LLMs).
- Architect, test, and optimize prompts to improve accuracy, relevance, creativity, and cost-efficiency.
- Develop and maintain Retrieval-Augmented Generation (RAG) solutions leveraging proprietary knowledge sources.
- Build, curate, and manage knowledge bases and datasets for AI applications.
- Fine-tune pre-trained LLMs using techniques such as LoRA, QLoRA, and PEFT.
- Develop evaluation frameworks and metrics to assess AI model and prompt performance.
- Design and implement multi-step prompt chains and AI workflows to automate business processes.
- Analyze model failures and mitigate risks such as hallucinations, bias, and prompt injection attacks.
- Implement AI guardrails, validation mechanisms, and responsible AI controls.
- Stay updated with the latest advancements in Generative AI, Prompt Engineering, and LLM technologies.
Required Skills & Experience
- Strong understanding of NLP fundamentals and Large Language Model architectures.
- Expertise in advanced prompting techniques including:
- Zero-shot prompting
- Few-shot prompting
- Chain-of-Thought (CoT)
- Self-Consistency
- Tree-of-Thoughts
- Experience developing end-to-end RAG solutions using vector databases such as Pinecone, Weaviate, or pgvector.
- Hands-on experience with LLM fine-tuning techniques including LoRA and QLoRA.
- Strong Python programming skills and experience with AI platforms and APIs.
- Knowledge of LangChain, LlamaIndex, or similar AI orchestration frameworks.
- Experience with AI evaluation platforms such as LangSmith, MLflow, or equivalent.
- Familiarity with Azure OpenAI, AWS Bedrock, Google Vertex AI, or related cloud AI platforms.
- Understanding of software engineering principles, scalability, and maintainability.
- Knowledge of Responsible AI, AI ethics, security practices, and cybersecurity threats related to LLMs.
Preferred Certifications
One or more of the following certifications is an advantage:
- NVIDIA Generative AI LLMs Certification
- Microsoft Azure AI Engineer Associate
- AWS Certified Machine Learning Specialty
- Equivalent industry-recognized certification
Soft Skills
- Strong communication and stakeholder management skills.
- Ability to collaborate in multicultural and multilingual environments.
- Self-driven, proactive, and results-oriented mindset.
- Ability to work independently and within cross-functional teams.
- Knowledge of DevSecOps and automation best practices.
- Fluent in English & one of French or Dutch is a must.
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