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Senior AI Fullstack Engineer

1 hour, 7 minutes ago
Poland
Mid Level
AI Engineer
Software Development
AWS Azure CI/CD GCP Git LLM Machine Learning MLOps Python
Apply Now
Capco

Capco

Capco is a global business and technology consultancy, part of Wipro, dedicated to the financial services and energy industries. With a focus on digital transformation, Capco delivers end-to-end data-driven solutions for banking, payments, capital mark...

Internet Software & Services
5K-10K
Founded 1998
View All Jobs 58

Description

  • Design, develop, test, and deploy AI-enabled applications and services.
  • Translate client business problems into technical designs, implementation plans, and working software.
  • Build solutions using large language models, machine learning, retrieval-augmented generation, semantic search, and agentic AI patterns.
  • Develop reusable AI components, APIs, prompts, workflows, and evaluation approaches.
  • Work with structured and unstructured data to support discovery, reasoning, and decision support.
  • Build or integrate search, retrieval, ranking, and knowledge management capabilities.
  • Improve the quality, relevance, traceability, and explainability of AI-generated outputs.
  • Collaborate with client stakeholders, product teams, data specialists, and engineers.
  • Implement testing, monitoring, logging, evaluation, and performance optimization for AI workflows.
  • Support integration with cloud-native data and AI platforms, preferably Google Cloud Platform.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related field.
  • 3+ years of experience in AI engineering, software engineering, or machine learning engineering.
  • Strong programming skills in Python.
  • Practical experience building AI applications, ideally including large language models or generative AI.
  • Experience with modern AI engineering patterns such as retrieval-augmented generation, embeddings, semantic search, prompt engineering, model evaluation, or agent-based workflows.
  • Strong understanding of software engineering principles, APIs, data structures, testing, and production deployment.
  • Experience with cloud platforms, preferably Google Cloud Platform; AWS or Azure experience is also valuable.
  • Experience with MLOps, LLMOps, CI/CD, automated testing, monitoring, and model evaluation frameworks.
  • Ability to work with structured and unstructured data, including metadata, documentation, logs, or enterprise knowledge sources.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Ability to work independently and collaboratively in fast-paced client delivery environments.
  • Experience working with financial services clients or in another regulated enterprise environment (preferred).
  • Familiarity with data platforms, data catalogs, metadata management, knowledge graphs, vector databases, or search technologies (preferred).
  • Experience building AI solutions that require traceability, human review, or strong governance controls (preferred).
  • Consulting experience or experience working across multiple stakeholders, teams, and delivery workstreams (preferred).

Interested in this position?

Apply directly on the company website

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