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AI Solutions & DevOps Engineer

Software and data engineering consultancy enabling technological transformation for leading organizations in commodity trading, banking, and investment management.
DevOps
Mid-Level Software Engineer
Hybrid
AI · Enterprise SaaS

Description For AI Solutions & DevOps Engineer

Digiterre, a leading software and data engineering consultancy, is seeking an AI Solutions & DevOps Engineer to join their team in a technical pre-sales capacity. This role combines AI expertise with DevOps practices, focusing on designing and implementing AI-powered solutions using their in-house AI platform, AVA+. The position involves working at the intersection of artificial intelligence and infrastructure, requiring both technical depth and client-facing skills.

The ideal candidate will play a crucial role in bridging the gap between client needs and technical solutions, working extensively with AI agents and cloud infrastructure. You'll be responsible for implementing AI solutions across various cloud platforms (AWS, Azure, GCP) and ensuring robust integration between different systems. The role requires a strong technical background in both AI technologies and DevOps practices, combined with excellent communication skills for client interaction.

This position offers the opportunity to work with cutting-edge AI technologies while solving complex business challenges for leading organizations across various sectors. You'll be part of a highly collaborative and respectful working culture that values continuous learning and excellence in delivery. The company has a strong track record of success, having won multiple industry awards and being known for delivering high-risk, high-profile projects efficiently.

Working at Digiterre means joining a team that values Care, Quality, and Leadership, where you'll contribute to transformative projects for major clients in commodity trading, banking, and investment management. The role offers a unique blend of technical innovation and business impact, making it ideal for someone who wants to be at the forefront of AI solution delivery while working in a consultative capacity.

Last updated a day ago

Responsibilities For AI Solutions & DevOps Engineer

  • Work with Sales teams in a technical pre-sales and delivery capacity
  • Engage with clients to gather requirements and understand their business challenges related to AI and data connectivity
  • Installing platform images across multiple client cloud environments (AWS, Azure, GCP)
  • Design and deliver presentations and demonstrations of AI solutions
  • Collaborate with cross-functional teams to develop tailored solution proposals
  • Work on technical aspects of agent connectivity
  • Design and develop AI agents capable of interacting with diverse systems and services
  • Implement connectivity solutions
  • Translate business requirements into technical solutions

Requirements For AI Solutions & DevOps Engineer

Python
Java
  • Degree in Computer Science, Engineering, or related field
  • Hands-on experience with AI technologies and frameworks (TensorFlow, PyTorch)
  • Proficiency in programming languages such as Python, Java, or C#
  • Experience with API design and management and data integration techniques
  • Strong experience of setup of cloud services (AWS, Azure, or GCP)
  • Awareness of AI capabilities such as prompt engineering, tokenization, guardrails
  • Excellent problem-solving skills and critical thinking ability
  • Exposure to agentic platforms is preferable
  • Strong communication skills

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