Job summary
Job post source
This job is directly from Rearc
Job overview
The AI Application Engineer role at Rearc involves designing and deploying intelligent AI systems, focusing on generative AI solutions to support innovative product development.
Responsibilities and impact
The engineer will collaborate with colleagues to understand client needs, develop scalable GenAI solutions using modern tools like LangGraph, stay updated on AI technologies, and promote knowledge sharing within the company.
Experience and skills
Candidates need 2+ years in AI engineering or ML, strong knowledge of generative AI techniques, experience with AI orchestration tools, prompt engineering, NLP frameworks, RAG architectures, vector databases, and programming in Python; familiarity with CI/CD and MLOps is required, with preferred skills including containerization, cloud security, and model training.
Work environment and culture
Rearc fosters a culture of continuous learning and collaboration, encouraging knowledge sharing through blogs, talks, and internal communication.
Company information
Rearc is an IT consulting firm specializing in cloud technology with a history of H1B sponsorships.
Job location and travel
The position is remote, allowing work from any location.
Unique job features
The role offers opportunities to work with cutting-edge generative AI technologies and frameworks, contributing to innovative AI product development and deployment.
Company overview
Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.
How to land this job
Tailor your resume to highlight your experience with generative AI, including fine-tuning, prompt engineering, and deploying LLMs, as these are core to the AI Application Engineer role at Jobright.ai.
Emphasize your familiarity with AI orchestration tools like LangGraph and your hands-on skills with Retrieval Augmented Generation (RAG) architectures and vector databases such as Pinecone or Opensearch.
Apply through multiple channels including Jobright.ai’s corporate careers page and LinkedIn to maximize your application visibility for this remote position.
Connect with AI and engineering team members at Jobright.ai on LinkedIn, using ice breakers like commenting on recent AI projects they shared or asking about their experience with orchestration frameworks like CrewAI or Bedrock Agents.
Optimize your resume for ATS by including keywords from the job description such as 'generative AI,' 'LLMs,' 'LangGraph,' 'RAG architectures,' 'MLOps,' and 'Python programming' to pass automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, find relevant job portals, and identify LinkedIn contacts to network with, saving you time and increasing your chances of landing the role.
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