Generative AI Engineer @ Mindlance | Jobright.ai
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Mindlance ยท 4 hours ago

Generative AI Engineer

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H1B Sponsor Likelynote
Hiring Manager
Amolika Patel
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Responsibilities

Design, develop, and deploy generative AI models and LLMs for healthcare applications. Implement and evaluate agentic solutions that automate and enhance user interactions. Develop and optimize retrieval-augmented generation (RAG) pipelines for enhanced information retrieval and response generation.
Collaborate with cross-functional teams to define AI product requirements, project specifications, and system architectures.
Preprocess and analyze large datasets to extract meaningful insights that drive model training and optimization.
Integrate closed and open-source AI models seamlessly into production environments. Maintain, monitor, and improve the performance of existing AI systems, ensuring their scalability and alignment with organizational objectives.
Document processes, methodologies, and findings, clearly communicating complex technical concepts to non-technical stakeholders through reports and presentations. Stay current with the latest advancements in generative AI, LLM development, and related technologies to continually enhance product capabilities.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI/ML engineeringGenerative AILarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)PythonJavaMachine learning frameworksAI architecture patternsCloud deployment strategiesEvalsAgentic frameworksAlgorithmsData structuresStatistical methods

Required

3+ years of experience in AI/ML engineering or a related role.
Proficiency in programming languages such as Python or Java.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn)
Demonstrated experience with evals, agentic frameworks, and RAG systems.
Strong understanding of algorithms, data structures, and statistical methods.
Experience with AI architecture patterns and cloud-based deployment strategies (e.g., AWS, Azure, Google Cloud).
Ability to work with both closed and open-source models, optimizing their integration for product needs.
Strong analytical and problem-solving skills with the ability to work collaboratively in a fast-paced environment.
Excellent written and verbal communication skills, with the capability to explain complex technical concepts to non-technical stakeholders.

Company

Mindlance

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Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services

H1B Sponsorship

Mindlance has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (30)
2022 (38)
2021 (45)
2020 (58)

Funding

Current Stage
Late Stage

Leadership Team

R
Rajat Paul Dhall
Co-Founder & Managing Director
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V
Vik Kalra
Co-Founder and Managing Director
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Company data provided by crunchbase
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