As a Senior AI/ML Engineer at vector8, you will design, 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 ensuring enterprise-grade reliability, security, and scalability.
This is a hands-on engineering role where you will:
Develop andoptimizeLLMand VLM-powered solutions for enterprise use cases
Develop andoptimizeTTS, 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)
Solve real-world enterprise challenges (security, compliance, legacy system integration)
Own 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.
5+ years of experience in AI/ML engineering, software development, or a related field
Expertisein LLM architectures and training methodologies:
Transformers, attention mechanisms, fine-tuning, RAG, quantization
Prompt engineering, model evaluation, bias detection
Strong knowledge of machine learning architectures: fully connected, CNN, LSTM,transformersand classical ML models
Strong software engineering skills:
Proficient in Python (FastAPI,Pydantic,asyncio, type hints)
Experience with API development
Familiarity with modern toolchains (Docker, Kubernetes, Terraform)
Hands-on experience with LLM integrations:
LLM providers
Vector databases (Pinecone,Weaviate, Milvus)
Model serving (vLLM, TGI,KServe)
Experience withMLOpsand production deployments
Understanding of enterprise challenges:
Security, compliance, scalability, costoptimization.
Experience with relational and non-relational databases.
Strong problem-solving and debugging skills.
Excellent communication and collaboration skills (fluent in English; German is a strong plus).
Bachelor’s orMaster’s degree in Computer Science, Mathematics, Physics, ora relatedfield.
Experience with multi-cloud environments (AWS, Azure, GCP).
Experience with code optimization (e.g., model quantization, parallelization).
1. End-to-End Model Development
Design, implement, and deploy distributed, high-volume, high-performance, low-latency machine learningsolutions, with a focus onGenAI models, and especiallyLLM integrations and API-driven architectures
Take ownership of your models throughout their entire lifecycle:
Data exploration and cleaning to build reproducible, versioned datasets
State-of-the-artresearch toidentifythe best architectures for the problem (e.g., transformers, RAG, fine-tuning)
Implementation, training, and optimization in reproducible environments
Deployment, monitoring, and maintenance in production
Optimizemodels for performance, latency, and cost efficiency, especially in LLM serving and inference
2. Software Engineering for AI
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
3. AI & ML Integration & API Development
Design and implementAI-powered solutions that integrate with APIs, microservices, and event-driven architectures
Develop andoptimizeAIpipelines for:
Dataset cleaning,preprocessingand model training
Fine-tuning (domain adaptation, instruction tuning)
Retrieval-Augmented Generation (RAG) (vector databases, semantic search)
Prompt engineering (optimizinginputs 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 andoptimizeperformance (latency, throughput, token efficiencyfor Transformer based architectures)
4. Enterprise AI & MLOps
Deploy andmonitorAI models in production
Design and implementMLOpspipelines for:
Model training, fine-tuning, and evaluation
Model versioning and lineage tracking
A/B testing and canary deployments
Ensure scalability and reliability (auto-scaling, fault tolerance, disaster recovery)
Collaborate with data engineers to build data pipelines (batch, streaming, real-time)
5. Collaboration & Technical Leadership
Work closely with product owners, DevOps, and quality assurance in an agile, cross-functional team
Mentor junior engineers and promote best practices in AI/ML and software engineering
Translate product requirements into technical solutions and architectural decisions
Document architectures, decisions, and best practices for internal and client-facing use
Develop relationships with internal and external stakeholders, including clients and partners
6. Innovation & Continuous Improvement
Stay ahead of the latestAI and MLarchitectures (transformers, Mixture of Experts, sparse attention).
Experiment withcutting-edgetechniques (quantization, distillation, speculativedecoding).
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).
Embrace a strategic and continuous improvement mentality to drive innovation.
A great compensation package with competitive benefits, including:
Flexible working hours, including remote work options (hybrid model).
25 days of 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 fuelled.
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 represent vector8 as 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 betweencutting-edgeAI 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.