AI/ML Engineer, France

Job Description

As an AI/ML Engineer at vector8, you will implement and deploy AI solutions that bridge the gap between research and production. Your work will focus on integrating and fine-tuning AI Models, optimizing the model performance, and contributing to enterprise-grade reliability, security, and scalability.

This Is a Hands-on Engineering Role Where You Will

• Develop and optimize LLM and VLM-powered solutions for enterprise use cases
• Develop and optimize TTS, STT and ML models.
• Apply software engineering best practices (testing, CI/CD, modular design, documentation)
• Collaborate with cross-functional teams (data engineers, MLOps, cloud architects, and business stakeholders)
• Contribute to solving real-world enterprise challenges (security, compliance, legacy system integration)
• Participate in the full lifecycle of AI models, from data exploration to production monitoring

You will work closely with vector8’s Engineers and Project Managers to co-design AI foundations that enable organizations to scale AI from individual use cases to enterprise-wide capabilities.

The role is primarily based in Paris, with occasional travel to client sites and collaboration with teams across Europe.

Job Requirements

• 3–5 years of experience in AI/ML engineering, software development, or a related field
• Working knowledge of LLM architectures and training methodologies: Transformers, attention mechanisms, fine-tuning, RAG, quantization, Prompt engineering, model evaluation, bias detection
• Solid understanding of machine learning architectures: fully connected, CNN, LSTM, transformers and classical ML models
• Good software engineering skills:
• Proficiency in Python (FastAPI, Pydantic, asyncio, type hints)
• Experience with API development
• Familiarity with modern toolchains (Docker, Kubernetes, Terraform)
• Practical experience with LLM integrations: LLM providers; Vector databases (Pinecone, Weaviate, Milvus); Model serving (vLLM, TGI, KServe)
• Some exposure to MLOps and production deployments
• Understanding of enterprise considerations: security, compliance, scalability, cost optimization.
• Experience with relational and non-relational databases.
• Strong problem-solving and debugging skills.
• Good communication and collaboration skills (fluent in English; French or German is a plus).
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related field.
• Exposure to multi-cloud environments (AWS, Azure, GCP) is advantageous.
• Familiarity with code optimisation techniques (e.g., model quantization, parallelization) is a plus.

Job Responsibilities2. Software Engineering for AI3. AI & ML Integration & API Development4. Enterprise AI & MLOps5. Collaboration & Teamwork6. Innovation & Continuous ImprovementEmbrace a continuous improvement mentality to drive innovation

• End-to-End Model Development
• Implement and deploy distributed, high-volume, high-performance, low-latency machine learning solutions, with a focus on GenAI models, and especially LLM integrations and API-driven architectures
• Contribute to model lifecycle activities:
• Data exploration and cleaning to build reproducible, versioned datasets
• Research to identify appropriate architectures for the problem (e.g., transformers, RAG, fine-tuning)
• Implementation, training, and optimization in reproducible environments
• Deployment, monitoring, and maintenance in production
• Optimize models for performance, latency, and cost efficiency, especially in LLM serving and inference
• Write clean, modular, and well-documented code in Python (FastAPI, Pydantic, asyncio)
• Apply best practices in: Testing (unit, integration, end-to-end); CI/CD (GitHub Actions, GitLab CI, ArgoCD); Observability (logging, monitoring, tracing)
• Ensure security and compliance (data protection, access controls, encryption)
• Integrate models and code into CI/CD pipelines for seamless deployment
• Implement AI-powered solutions that integrate with APIs, microservices, and event-driven architectures
• Develop and contribute to AI pipelines for: Dataset cleaning, preprocessing and model training; Fine-tuning (domain adaptation, instruction tuning); Retrieval-Augmented Generation (RAG) (vector databases, semantic search); Prompt engineering (optimizing inputs for performance, cost, and accuracy);Model evaluation (benchmarking, bias detection, drift analysis)
• Build scalable, secure, and cost-efficient serving infrastructure (e.g., FastAPI, vLLM)
• Debug and optimize performance (latency, throughput, token efficiency for Transformer based architectures)
• Deploy and monitor AI models in production
• Contribute to MLOps pipelines for: Model training, fine-tuning, and evaluation; Model versioning and lineage tracking; A/B testing and canary deployments
• Support scalability and reliability (auto-scaling, fault tolerance, disaster recovery)
• Collaborate with data engineers to build data pipelines (batch, streaming, real-time)
• Work closely with product owners, DevOps, and quality assurance in an agile, cross-functional team
• Share knowledge and promote best practices in AI/ML and software engineering
• Translate product requirements into technical solutions
• Document architectures, decisions, and best practices for internal and client-facing use
• Develop relationships with internal and external stakeholders, including clients and partners
• Stay current with the latest AI and ML architectures (transformers, Mixture of Experts, sparse attention).
• Experiment with emerging techniques (quantization, distillation, speculative decoding).
• Evaluate and benchmark open-source and proprietary models (Llama, Mistral, Mixtral, GPT-4, Claude).
• Bring your own ideas through vector8’s ideation process.
• Contribute to vector8’s AI accelerators (reusable components for common industry problems).

Job Benefits

• A great compensation package with competitive benefits, including:
• Flexible working hours, including remote work options (hybrid model).
• 25daysof paid vacation per year, plusadditionalflex days.
• Private health and life insurance&pension plan for long-term security.
• Home office allowance &Lunch vouchers to enjoy meals on us.
• Discounted fitness memberships to stay active.
• 50% reimbursement of public transport costs.
• Free coffee, fruit, and snacks to keep you fueled.
• Access to the latest technologies(LangDock, Claude Code for developers)
• Grants for training, coaching, and conferences to support your continuous learning.
• Opportunities to attend industry events and representvector8as a thought leader.
• A less-formal work environment where authenticity and collaboration thrive.
• A diverse and inclusive team that values curiosity, ownership, and innovation.

Why This Role is Unique

• You will work at the intersection of AI research and enterprise software engineering, with a strong focus on AI-driven solutions.
• You will contribute to shaping the future of AI adoption in France’s most complex organizations.
• You will bridge the gap between cutting-edge AI and real-world enterprise constraints (security, compliance, legacy systems).
• You will grow your skills, collaborate with talented engineers, and have real ownership over your work from day one.