Job summary
Job post source
This job is directly from CRG Solutions
Job overview
The Senior AI Developer role at CRG Solutions leads the design, development, and deployment of AI and Generative AI applications, driving enterprise-wide innovation through technical expertise and collaboration.
Responsibilities and impact
The role involves leading AI/ML project lifecycles, developing and maintaining AWS infrastructure, integrating front-end and back-end systems, ensuring production reliability with CI/CD pipelines, and fostering agile iterative delivery with continuous improvement.
Experience and skills
Candidates need a bachelor's degree or equivalent experience with 8+ years in full-stack application deployment, AI and MLOps integration, expertise in Python, TypeScript, AWS services, and strong collaboration and problem-solving skills; advanced degrees and multi-cloud architecture experience are preferred.
Work environment and culture
The company promotes a culture of diversity, inclusion, remote work flexibility, and values curiosity, resilience, and adaptability in a dynamic environment.
Job location and travel
The position is remote, requiring candidates to be located in the United States or Puerto Rico with high-speed internet access.
Unique job features
This role uniquely combines deep AI, MLOps, and full-stack development expertise with leadership in generative AI projects and ethical AI considerations in a fully remote setting.
Company overview
CRG Solutions is a business intelligence and data analytics company specializing in providing technology-driven solutions to help organizations optimize their operations and decision-making processes. The company primarily generates revenue through consulting services, software implementation, and ongoing support for platforms such as Tableau, Alteryx, and other analytics tools. Founded in India, CRG Solutions has expanded its presence across Southeast Asia, serving clients in diverse industries including finance, healthcare, and manufacturing. The company is known for its expertise in data visualization, process automation, and digital transformation initiatives. Candidates should be aware of CRG Solutions' strong partnerships with leading software vendors and its reputation for delivering tailored, high-impact analytics solutions to enterprise clients.
How to land this job
Position your resume to emphasize your leadership in designing, developing, and deploying Generative AI and LLM applications, highlighting your ability to translate business needs into technical solutions at CRG Solutions.
Focus on showcasing your expertise in full-stack development with Python, TypeScript, React or Flask, and your experience managing AWS infrastructure including Bedrock, SageMaker, S3, and Lambda, stressing your skills in cloud resource management, security, and cost optimization.
Apply through multiple channels including CRG Solutions' corporate careers page and LinkedIn to maximize your application visibility and chances of being noticed for the Senior AI Developer role.
Connect with current employees in CRG Solutions' AI or cloud infrastructure teams on LinkedIn; use ice breakers like commenting on recent AI projects the company has launched or asking about their experience working with AWS services and MLOps practices at CRG.
Optimize your resume for ATS by incorporating keywords such as 'Generative AI,' 'MLOps,' 'CI/CD pipelines,' 'AWS infrastructure,' 'full-stack development,' and 'model versioning' to ensure it passes automated screenings effectively.
Leverage Jennie Johnson's Power Apply feature to automate tailored resume customization, multi-channel application submissions, and LinkedIn networking, allowing you to focus your time on preparing for interviews and deepening your AI expertise.
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