Artificial Intelligence Engineer

Job Title: Senior AI Engineer

About Logiciel Solutions

Logiciel Solutions is a service-based company specializing in building, launching, and scaling SaaS products. Since 2011, we have partnered with startups to turn innovative ideas into successful, market-ready solutions.

• We enable startups to accelerate their SaaS journey and achieve long-term, sustainable growth.

• With expertise across modern tech stacks, proven project management practices, and a customer-first approach, we’ve helped businesses evolve from startup to scale-up.

• Our mission is to deliver impactful, result-oriented SaaS products that transform industries and empower businesses globally.

Job Overview

We are looking for a AI Engineer with a strong engineering background (Full Stack, Backend, or Python development) who has successfully transitioned into AI/ML. The ideal candidate will combine solid software engineering skills with expertise in Large Language Models (LLMs), NLP, and AI chatbot development. You will be responsible for designing, building, and deploying AI-powered systems that leverage Retrieval-Augmented Generation (RAG), external data sources, and scalable cloud environments.

This role requires someone who not only understands AI research but can build production-ready systems that integrate seamlessly with modern applications and business workflows.

Key Responsibilities

Generative AI & NLP Development

• Design, develop, and fine-tune LLMs (e.g., GPT, BERT, T5, LLaMA) for chatbots, virtual assistants, and text-generation tasks.

Exposure to Langgraph and Langchain.

• Implement RAG to connect LLMs with external knowledge bases and databases for accurate, context-aware responses.

• Apply advanced NLP techniques such as NER, intent recognition, sentiment analysis, and summarisation.

AI Chatbot & System Engineering

• Develop and deploy AI-powered chatbots that integrate with databases, APIs, and enterprise systems.

• Ensure scalable, low-latency, and reliable AI model performance in production environments.

• Collaborate with product and engineering teams to build end-to-end AI solutions integrated into SaaS products.

Software Engineering & Integration

• Use your background in Python, MERN, MEAN, or Full Stack development to build robust pipelines and AI applications.

• Implement APIs, backend services, and scalable infrastructure to support AI/ML workloads.

• Work with databases (SQL/NoSQL) to enable intelligent data retrieval for AI models.

Continuous Improvement

• Stay updated on the latest trends in Generative AI, LLMs, and NLP frameworks.

• Optimize deployed systems for performance, scalability, and user experience.

• Troubleshoot and improve AI models through experimentation and feedback loops.

Mandatory Skills

• Software Engineering: Proven experience as a Full Stack, Backend, or Python developer (MERN/MEAN/Python frameworks).

• Generative AI & LLMs: Hands-on experience with GPT, BERT, T5, LLaMA, or other transformer-based models.

• RAG Architectures: Practical knowledge of Retrieval-Augmented Generation for enhancing AI responses with external data.

• NLP: Strong grasp of text processing, intent detection, entity recognition, and summarisation.

• Chatbot Development: Building and deploying intelligent conversational agents with real-time interaction capabilities.

• Frameworks & Libraries: TensorFlow, PyTorch, Hugging Face Transformers, spaCy, NLTK.

• Database Integration: SQL/NoSQL database interaction within AI workflows.

• Programming Languages: Python (primary), plus exposure to JavaScript/TypeScript for full-stack integration.

• Cloud Technologies: AWS, GCP, or Azure for scalable AI deployment.

Desirable Skills

•

• Exposure to Reinforcement Learning, Self-Supervised Learning, or fine-tuning strategies for LLMs.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

• 3+ years of experience as a Backend/Full Stack Developer (Python, MERN, or MEAN).

• 2+ years of hands-on experience in Generative AI, NLP, and chatbot development.

• Prior work on RAG-based AI systems and production deployment of chatbots is highly desirable.