AI Software Engineer (Remote - US) - job 1 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Software Engineer in the United States.

This role offers the opportunity to contribute to cutting-edge AI and machine learning projects, focusing on building production-ready Agentic AI and traditional AI/ML solutions. You will work on core components such as embeddings, vector search, and tool/function calling, while enhancing evaluation frameworks and monitoring performance metrics. The position allows early-career engineers to develop professionally within a regulated environment, learning from senior engineers while delivering high-impact AI solutions. You will collaborate with cross-functional teams, implement best practices for security and compliance, and apply Responsible AI principles to ensure safe and reliable AI systems. This role provides exposure to cloud architectures, data pipelines, and real-world deployment of AI applications.

Accountabilities

• Design, implement, and maintain production-grade AI/ML systems, including RAG, embeddings, vector search, and tool/function calling.
• Contribute to prototype development and transform experimental features into robust, scalable solutions.
• Enhance model evaluation frameworks with offline/online assessments, Human-in-the-Loop (HIL) processes, and golden set evaluations.
• Monitor key metrics such as quality, latency, cost, and safety, using data-informed insights to optimize system performance.
• Collaborate with cross-functional teams, including product, design, and platform teams, to integrate AI solutions effectively.
• Ensure compliance with privacy, security, and Responsible AI standards in all system development.
• Participate in agile workflows, code reviews, and documentation to uphold engineering quality and best practices.

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
• Proficiency in Python, REST APIs, SQL, Git, Docker, and CI/CD workflows.
• Familiarity with Large Language Models (LLMs), prompting techniques, embeddings, RAG, and ML frameworks such as PyTorch or TensorFlow.
• Experience with cloud platforms (Azure, AWS, or GCP) and data lake/warehouse architectures.
• Knowledge of event-driven systems like Spark and Kafka.
• Hands-on experience building services, ML features, or Generative AI applications.
• Understanding of Responsible AI principles, safety, and guardrail systems.
• Strong coding practices, iterative development mindset, and excellent communication skills.
• Experience with AI frameworks, prompt management, evaluation tooling, and data management tools such as Databricks or Delta Lake is a plus.
• Portfolio of open-source contributions, hackathon participation, or published work is advantageous.

• Competitive salary and comprehensive health and wellness benefits.
• Professional growth and mentorship opportunities within a global technology organization.
• Inclusive and collaborative work environment promoting innovation.
• Flexible work arrangements, including remote options in certain locations.
• Access to cutting-edge AI tools, platforms, and learning resources.
• Opportunity to work on impactful projects shaping the future of AI and digital technologies.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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