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Talan

Agile IT transformation consulting and delivery

Forward Deployed Engineer IA & Data

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeÎle-de-France, France

About the Job

Requirements

  • A Master's-level degree or doctorate in applied mathematics, computer science, data science, or a related field.
  • At least 3 years of experience in software development, data engineering, AI, or architecture, ideally in a direct-client context.
  • Strong Python development skills applied to data and AI.
  • Solid software engineering skills applied to data and AI.
  • Experience with LLM, RAG, and Agentic AI architectures.
  • Proficiency with orchestration frameworks for agents and generative AI applications.
  • Knowledge of AI evaluation, security, and governance.
  • Ability to turn business needs into operational AI products.
  • Good command of cloud environments and MLOps practices.
  • Ability to work in demanding, high-visibility client environments.
  • Strong communication skills and ability to interact with business, technical, and executive stakeholders.
  • Scientific rigor, technical excellence, and technical leadership.
  • Results orientation, autonomy, and an entrepreneurial mindset.
  • Technologies named include OpenAI, Azure OpenAI, Anthropic Claude, Mistral AI, Gemini, Llama, Cohere, LangChain, LangGraph, LangSmith, Semantic Kernel, CrewAI, AutoGen, Dataiku, SQL, Spark, Databricks, Snowflake, Microsoft Fabric, vector databases, embeddings, knowledge graphs, Docker, Kubernetes, Git, CI/CD, MLflow, observability, monitoring, evaluation frameworks, Microsoft Azure, AWS, and Google Cloud Platform.

Responsibilities

  • Design, develop, and deploy agentic AI systems directly within client organizations, from identifying business problems through production deployment.
  • Develop intelligent applications and products integrating LLMs, RAG, and multi-agent systems into client technology ecosystems.
  • Design modern architectures and develop data pipelines to support AI systems, ensuring their long-term robustness, scalability, and impact.
  • Design evaluation and validation frameworks to measure the quality and prevent regression in non-deterministic systems.
  • Optimize performance, cost, and latency trade-offs for operational viability.
  • Build robust RAG architectures that effectively use complex, fragmented, or unstructured enterprise data.
  • Implement monitoring, observability, security, and governance mechanisms for sustainable operation of AI systems.
  • Evaluate and benchmark market AI, generative AI, Agentic AI, and LLM platform solutions, including OpenAI, Anthropic, Mistral AI, Google, Azure AI, and AWS Bedrock.
  • Design proofs of concept, minimum viable products, and demonstrations to validate use-case relevance and value.
  • Contribute to strategic scoping, AI education, and the development of AI roadmaps with business and technology leaders.
  • Participate in internal research and development, knowledge sharing, and activities that build the group's AI ecosystem.

Desired Qualifications

  • Direct-client experience is ideal.

About the Company

Talan

Agile IT transformation consulting and delivery

Talan is a European consulting and IT services group that helps organizations transform and adapt to fast-changing environments. It offers a full range of services from strategic business consultancy to packaged IT solutions, including production support, software development, business analysis, and nearshore delivery. The company works by deploying multidisciplinary teams across its global offices to guide clients through agile transformations, change programs, and IT modernization. Talan differentiates itself through its international footprint, sector focus on Major Service Operators, and a culture built on transparency, respect, teamwork, entrepreneurial spirit, and commitment. With strong organic growth and a large pool of over 3,500 consultants, its goal is to create and share value for clients while coaching and developing its people—empowering customers to transform and compete more effectively.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$110M
Headquarters
Paris, France
Founded
2002

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