Forward Deployed Engineer

Neev; Paris; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Neev is seeking a Forward Deployed Engineer to design, develop, and implement AI-driven solutions in collaboration with business and technology stakeholders. You will translate requirements into scalable, production-ready applications using AI/ML, Generative AI, and cloud technologies.

You will wire enterprise systems and data platforms via APIs, build PoCs, and work closely with Data Science, Engineering, and DevOps teams to operationalize AI solutions while ensuring scalability, performance,

Qualifikationen

• Strong programming experience in Python, Java, or Scala.
• Hands-on experience with Generative AI, LLMs, RAG, Prompt Engineering, and AI/ML solutions.
• Experience with Azure, AWS, or GCP cloud platforms.
• Knowledge of REST APIs, Microservices, SQL/NoSQL databases, Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with Databricks, Spark, and modern data engineering frameworks.

Aufgaben

• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
• Design, develop, and deploy applications leveraging AI/ML, Generative AI, and cloud technologies.
• Build integrations with enterprise systems, APIs, and data platforms.
• Develop PoCs and production-ready solutions to address business challenges.
• Work with Data Science, Engineering, and DevOps teams to operationalize AI solutions.
• Ensure solution scalability, performance, security, and compliance with banking standards.
• Provide technical leadership during implementation, deployment, and post-production support.

Kenntnisse

Python/Java/Scala

Generative AI

LLMs

Prompt Engineering

AI/ML Solutions

REST APIs

Microservices

Databricks

Apache Spark

Stakeholder Management

Client-facing Communication

Tools

Docker

Kubernetes

CI/CD

SQL/NoSQL

Jobbeschreibung

We are seeking a Forward Deployed Engineer to work closely with business and technology stakeholders to design, develop, and implement AI-driven and data-centric solutions. The ideal candidate will combine strong software engineering expertise with customer-facing consulting skills to deliver scalable solutions aligned with business objectives.

Key Responsibilities

• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
• Design, develop, and deploy applications leveraging AI/ML, Generative AI, and cloud technologies.
• Build integrations with enterprise systems, APIs, and data platforms.
• Develop PoCs and production-ready solutions to address business challenges.
• Work with Data Science, Engineering, and DevOps teams to operationalize AI solutions.
• Ensure solution scalability, performance, security, and compliance with banking standards.
• Provide technical leadership during implementation, deployment, and post-production support.

Required Skills

• Strong programming experience in Python, Java, or Scala.
• Hands‑on experience with Generative AI, LLMs, RAG, Prompt Engineering, and AI/ML solutions.
• Experience with Azure, AWS, or GCP cloud platforms.
• Knowledge of REST APIs, Microservices, SQL/NoSQL databases, Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with Databricks, Spark, and modern data engineering frameworks.
• Strong problem-solving, stakeholder management, and client-facing communication skills.

Preferred Qualifications

• Experience in Banking, Financial Services, Risk, Compliance, Fraud Detection, or Customer Operations.
• Exposure to Azure OpenAI, OpenAI, LangChain, LlamaIndex, or similar AI ecosystems.
• Understanding of AI Governance, Security, and Responsible AI principles.