5 - 10 years

7 - 12 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Description

The AI Engineer plays a critical role in advancing LabVantages AI capabilities by designing, evaluating, and integrating state-of-the-art AI and generative models into our product suite. This includes selecting and benchmarking large language models (LLMs), developing applications using Retrieval-Augmented Generation (RAG) and agentic AI, and collaborating with engineering teams to deliver innovative, scalable, and robust AI-driven features. Additional responsibilities include building and maintaining data pipelines, developing APIs for model access, and staying at the forefront of AI innovation to ensure LabVantage remains a leader in applied AI.

The ideal candidate has a strong understanding of modern AI/ML concepts, hands-on experience with LLMs and generative AI, and a solid background in software engineering. Familiarity with cloud-based AI services, SaaS environments, and the latest advancements in AI is expected. The AI Engineer will also respond to customer inquiries related to AI features and support release validation from a technical perspective.

B. Primary Job Objectives Rank of Importance % Allocation Description 1 50 Select, evaluate, and integrate LLMs and generative AI models (including MCP), develop and deploy AI-driven features, and document technical solutions and recommendations for both technical and non-technical audiences. 2 25 Build and maintain data pipelines and APIs to support AI/ML workflows, ensuring data quality, scalability, and performance. 3 15 Collaborate with cross-functional teams (data, software, DevOps) to integrate AI solutions into production environments and support release validation. 4 10 Monitor, evaluate, and optimize AI models and applications. Stay current with AI advancements and contribute to the continuous improvement of LabVantages AI capabilities.
265 Davidson Avenue, Suite 220 Somerset, NJ 08873 USA t: 908.707.4100 f: 908.707.1179 i:

Sr Security Analyst/Engineer
C. Job Qualifications Necessary:
  • Education:

    Bachelors degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • Experience:

    • At least 5 years of experience as a Data Scientist, ML Engineer, or AI Engineer, including at least 1 year on generative AI projects.
    • Experience with LLM-based application development and frameworks (e.g., LangChain, Haystack, LlamaIndex).
    • Experience with data pipeline development, model selection and benchmarking, and API integration.
    • Familiarity with cloud-based AI services, SaaS environments, and MLOps practices.
  • Skills:

    • Strong understanding of AI/ML principles, protocols, and best practices.
    • Comprehensive knowledge of major LLMs (Anthropic, Cohere, Meta, Mistral AI, OpenAI, etc.) and ability to recommend suitable models for various use cases.
    • Mastery of key generative AI concepts: Retrieval-Augmented Generation (RAG), Chain-of-Thought (CoT), agentic AI, and conversational AI.
    • Proficient in at least one LLM-based application development framework.
    • Excellent analytical and problem-solving skills.
    • Strong communication and collaboration skills.
    • Ability to work independently and as part of a team.
    • Fluent in both spoken and written English.

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