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Salary
$51k – $117k per year (Estimated)
Location
Remote/Hybrid (Argentina)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
ELEKS is a global software engineering and technology consulting firm headquartered in Tallinn, Estonia, and founded in 1991. The company provides a range of services including custom software development, product design, data science, cybersecurity, and quality assurance across various industries such as fintech, healthcare, and logistics. Operating through a network of delivery centers and offices across Europe, North America, and the Middle East, the firm employs over 2,000 specialists to support enterprise-level digital transformation projects.

ELEKS Software Engineering & Development Office is looking for a Senior Java/AI Developer based in Buenos Aires for a hybrid position: 2-3 days per week onsite at our local office, with the remaining days remote.

Working hours: 10:00 AM - 6:00/7:00 PM ART

ABOUT PROJECT

The client is among the top-5 health insurance companies in the US. They are dedicated to expanding access to high-quality, cost-effective health care and equipping their members with information and tools so they can make the best health care decisions for themselves and their families.

REQUIREMENTS

    • 5+ years of professional experience in Java and/or Python

    • Hands-on experience working with LLMs (integration, evaluation, or architecture)

    • Practical experience with prompt engineering

    • Understanding of API design and backend service development

Nice to Have

  • Experience with RAG (Retrieval-Augmented Generation) architectures

  • Experience with vector databases and embeddings

  • Cloud AI services experience (Azure OpenAI, AWS Bedrock, etc.)

  • MLOps or LLMOps exposure

RESPONSIBILITIES

    • Design and build AI-powered features and services using LLMs

    • Develop and maintain backend components in Java and/or Python

    • Implement prompt engineering strategies and evaluate model outputs

    • Collaborate with product and engineering teams to integrate AI capabilities into existing applications

    • Stay current with emerging LLM tooling, frameworks, and best practices

    • Participate in Agile/Scrum delivery practices

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