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Deutsche Bank

AI Engineer, Associate

Reposted 10 Hours Ago
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In-Office
Magarpatta, Hadapsar, Pune, Maharashtra
Expert/Leader
In-Office
Magarpatta, Hadapsar, Pune, Maharashtra
Expert/Leader
Collaborate within an Agile team to develop, test, and manage functionalities for Compliance applications on Google Cloud. Responsible for data sourcing and algorithms, ensuring code reliability.
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Job Description:

Job Title: AI Engineer, Associate

Location: Pune, India

Role Description

We are seeking an AI Engineer to join our innovative team. This is a hands-on technologist role focused on designing, developing, and scaling next-generation AI and Generative AI systems. You will be at the forefront of building cutting-edge solutions, from multi-agent AI workflows to advanced RAG pipelines. This position requires deep technical expertise across the AI stack, system-level thinking, and the drive to take full ownership of projects from initial prototype to production deployment.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

  • Best in class leave policy
  • Gender neutral parental leaves
  • 100% reimbursement under childcare assistance benefit (gender neutral)
  • Sponsorship for Industry relevant certifications and education
  • Employee Assistance Program for you and your family members
  • Comprehensive Hospitalization Insurance for you and your dependents
  • Accident and Term Life Insurance
  • Complementary Health screening for 35 yrs. and above

Your key responsibilities

  • End-to-End Solution Development: Design, build, and deploy sophisticated AI/ML solutions, including Agentic AI workflows (planning, reasoning, tool usage) and advanced RAG pipelines.
  • Hands-on Development: Engage in hands-on coding in Java, Python, leveraging modern AI frameworks and technologies to build robust and scalable applications.
  • System Architecture: Architect and implement complete AI systems, covering data ingestion, vectorization, model serving, and API development.
  • Production & Operations: Deploy AI workloads on cloud platforms (GCP), ensuring reliability, scalability, and security Implement comprehensive evaluation, observability, and monitoring for AI systems in production (AIOps).
  • Collaboration & Leadership: Work closely with product managers, stakeholders, and other engineering teams across different geographies. Mentor junior engineers and promote best practices in software and AI development.
  • Quality & Automation: Champion code quality, agile methodologies, and implement robust CI/CD pipelines tailored for AI systems.

Your Skills and Experience

Required

  • Programming: Hands-on experience in Python and its data science ecosystem (e.g., NumPy, Pydantic).
  • AI/ML Frameworks: Hands-on experience with LangChain, and agentic frameworks like LangGraph, CrewAI, or similar.
  • GenAI & RAG: Deep understanding and practical experience in building and optimizing RAG pipelines, including chunking strategies, embedding models, and retrieval techniques.
  • Vector Databases: Experience with vector databases such as ChromaDB, PGVector, or Qdrant.
  • Backend Development: Proficient in building reliable REST APIs using frameworks like FastAPI or Flask.
  • Cloud Platform: Experience with GCP and its AI/ML offerings (e.g., Vertex AI, Google GenAI SDK).
  • Software Practices: Strong commitment to agile development, code quality, unit testing (e.g., with Pytest), and CI/CD.
  • MLOps/AIOps: Knowledge of MLOps tools for experiment tracking (e.g., MLflow), model monitoring, and LLM observability (e.g., LangSmith, Langfuse).

Desirable

  • Data Engineering: Experience with data processing or streaming technologies (e.g., Apache Spark).
  • Classical Machine Learning: Knowledge of different machine learning techniques and experience with frameworks like Scikit-Learn etc.
  • Infrastructure & Containerization: Familiarity with containerization (Docker) and orchestration (Kubernetes, GKE). Experience with Infrastructure as Code (e.g., Terraform).
  • Experience with a broader range of LLMs and multimodal models.
  • Contributions to open-source projects.

How we’ll support you

  • Training and development to help you excel in your career
  • Coaching and support from experts in your team
  • A culture of continuous learning to aid progression
  • A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

Top Skills

Ansible
Artifactregistry
Cloud Storage
Cloudbuild
Cloudcomposer
Clouddns
Cloudloadbalancing
Data Proc
Dataflow
Docker
Geneos
Github Actions
Google Cloud Platform
Grafana
Jenkins
Openshift
Python
Rdbms
Shell Scripting
Splunk
Terraform
Unix
Windows

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