Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Artificial Intelligence Engineer role focuses on designing and deploying advanced Generative AI systems within a boutique cloud consultancy, impacting enterprise-level AI and data solutions.
Responsibilities and impact
The candidate will build and operationalize Generative AI applications, design scalable AI pipelines, integrate retrieval systems, evaluate and adapt LLMs, deploy solutions on cloud platforms, collaborate with cross-functional teams, and contribute to knowledge sharing.
Compensation and benefits
The salary ranges from $150K to $180K depending on experience, with additional bonuses and equity options, plus health, dental, vision insurance, 401K with 4% match, and phantom stock benefits.
Experience and skills
Requires 2+ years in AI/ML engineering, strong knowledge of Generative AI, RAG architectures, vector databases, AI orchestration tools, Python, cloud-native tools, and MLOps; preferred experience includes fine-tuning models, containerization, cloud security, and classical ML or diffusion models.
Career development
The company offers an incredible learning environment encouraging curiosity, assumption challenging, and rapid growth for engineers.
Work environment and culture
The culture is engineering-led with no hierarchy, promoting freedom, support, remote work, experimentation, and measurable impact.
Company information
The company is a leading boutique cloud consultancy known for its engineering-first culture and deep technical focus, serving major global enterprise clients in financial services and technology.
Job location and travel
Remote position preferred in the Eastern Time zone.
Application process
Applicants are encouraged to submit their CVs to initiate contact for further discussion and scheduling.
Unique job features
The job offers unique opportunities to work on cutting-edge Generative AI projects using the latest AI orchestration tools and cloud platforms in an engineering-driven environment.
Company overview
KDR Talent Solutions USA is a recruitment agency specializing in data, technology, and analytics sectors, providing tailored staffing solutions to businesses seeking skilled professionals in these fields. They generate revenue by offering recruitment services, including permanent and contract placements, to companies in need of data-driven talent. The firm is part of the larger KDR Recruitment Group, which has a strong presence in the UK and has expanded its operations to the US market to address the growing demand for data expertise. Candidates should be aware of KDR's reputation for understanding the niche markets they serve and their commitment to matching the right talent with the right opportunities.
How to land this job
Tailor your resume to emphasize hands-on experience with Generative AI, RAG architectures, and vector databases like Pinecone or OpenSearch, highlighting your ability to build scalable AI pipelines and deploy production-ready GenAI applications.
Showcase your proficiency in Python and cloud-native tools such as AWS Lambda, S3, and Databricks, as well as familiarity with AI orchestration platforms like LangGraph or CrewAI to align with the job's technical demands.
Apply through multiple avenues including KDR Talent Solutions USA's corporate careers page and LinkedIn job postings to maximize your application visibility and increase your chances of landing an interview.
Connect on LinkedIn with engineers and hiring managers in KDR Talent Solutions USA's AI or cloud consultancy divisions; break the ice by commenting on recent AI projects they’ve shared or asking insightful questions about their approach to scalable GenAI solutions.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Generative AI,' 'RAG architectures,' 'AI orchestration,' 'Python,' and 'cloud-native tools,' ensuring your resume passes automated screening and reaches human reviewers.
Leverage Jennie Johnson's Power Apply feature to automate tailored resume customization, multi-channel applications, and LinkedIn networking, freeing you to focus on preparing for interviews and deepening your AI expertise.
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