Job VC
Junior AI/GenAI Engineer (#5195)
Technologies
Description
About the Client:
Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.
We design and deliver advanced data, analytics, and AI-enabled solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.
About the Role:
We are looking for a
Junior AI/GenAI Engineer
to support and evolve AI-driven capabilities within the Palantir Foundry and AIP ecosystem.
In this role, you will contribute to the transformation of a data platform support function into a proactive, AI-enabled engineering ecosystem, leveraging GenAI, semantic models, and automation to improve data reliability, operational efficiency, and self-service capabilities.
You will work at the intersection of AI, data engineering, and platform operations, helping integrate AI into real production workflows while enabling teams to adopt modern AI-driven approaches.
Key Responsibilities:
Develop and support AI and GenAI-driven solutions within enterprise data platform
Apply
LLM-based
techniques such as prompt engineering, embeddings, and retrieval-augmented generation (RAG) for practical use cases
Build and integrate AI capabilities into data workflows, pipelines, and backend systems (including Foundry environments)
Collaborate with data engineers to understand data sources, ensure data quality, and prepare data for AI-enabled workflows
Integrate AI solutions into Foundry workflows and Ontology-based data models to enable insights and business applications
Support deployment and operational stability of AI-enabled solutions in production environments
Assist in troubleshooting and resolving issues in AI-powered workflows and applications
Work with stakeholders to translate business needs into AI-enabled technical solutions
Required Skills & Experience:
1+ years of experience in AI, ML engineering, data engineering, or related technical roles
Strong Python programming skills
Hands-on experience in Generative AI /
LLM-based
solutions (e.g. prompt engineering, embeddings, APIs, NLP use cases), RAG
Understanding of how AI/ML solutions are used in production systems (integration, inference, workflows)
Experience working with data (structured and/or semi-structured datasets)
Familiarity with data pipelines, backend systems, or distributed data workflows
Ability to troubleshoot and support production environments and technical systems
Strong problem-solving mindset and ability to work in complex enterprise environments
Good communication skills and ability to collaborate with engineers and technical stakeholders
Upper-Intermediate English or higher
Nice to have:
Experience with Palantir Foundry and/or AIP
Experience in big pharma or highly regulated industries.
Exposure to production support, monitoring, or platform reliability engineering
We offer*:
Flexible working format — remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits
*not applicable for freelancers
Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.
We design and deliver advanced data, analytics, and AI-enabled solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.
About the Role:
We are looking for a
Junior AI/GenAI Engineer
to support and evolve AI-driven capabilities within the Palantir Foundry and AIP ecosystem.
In this role, you will contribute to the transformation of a data platform support function into a proactive, AI-enabled engineering ecosystem, leveraging GenAI, semantic models, and automation to improve data reliability, operational efficiency, and self-service capabilities.
You will work at the intersection of AI, data engineering, and platform operations, helping integrate AI into real production workflows while enabling teams to adopt modern AI-driven approaches.
Key Responsibilities:
Develop and support AI and GenAI-driven solutions within enterprise data platform
Apply
LLM-based
techniques such as prompt engineering, embeddings, and retrieval-augmented generation (RAG) for practical use cases
Build and integrate AI capabilities into data workflows, pipelines, and backend systems (including Foundry environments)
Collaborate with data engineers to understand data sources, ensure data quality, and prepare data for AI-enabled workflows
Integrate AI solutions into Foundry workflows and Ontology-based data models to enable insights and business applications
Support deployment and operational stability of AI-enabled solutions in production environments
Assist in troubleshooting and resolving issues in AI-powered workflows and applications
Work with stakeholders to translate business needs into AI-enabled technical solutions
Required Skills & Experience:
1+ years of experience in AI, ML engineering, data engineering, or related technical roles
Strong Python programming skills
Hands-on experience in Generative AI /
LLM-based
solutions (e.g. prompt engineering, embeddings, APIs, NLP use cases), RAG
Understanding of how AI/ML solutions are used in production systems (integration, inference, workflows)
Experience working with data (structured and/or semi-structured datasets)
Familiarity with data pipelines, backend systems, or distributed data workflows
Ability to troubleshoot and support production environments and technical systems
Strong problem-solving mindset and ability to work in complex enterprise environments
Good communication skills and ability to collaborate with engineers and technical stakeholders
Upper-Intermediate English or higher
Nice to have:
Experience with Palantir Foundry and/or AIP
Experience in big pharma or highly regulated industries.
Exposure to production support, monitoring, or platform reliability engineering
We offer*:
Flexible working format — remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits
*not applicable for freelancers