Prompt Engineer

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.