Job Description

Company Description

Innovix Labs is a forward-thinking startup based in New Delhi, dedicated to revolutionizing businesses in industries like intellectual property, legal services, pharmaceuticals, and education. We specialize in AI-based products and enterprise solutions tailored to meet specific sector demands, focusing on delivering high-quality, effective, and scalable solutions.

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Role Description

This is a full-time hybrid role for an Artificial Intelligence Engineer, based in New Delhi, with flexibility for partial remote work. The selected candidate will design, develop, and implement AI-based systems, focusing on areas such as natural language processing, neural networks, and pattern recognition. Responsibilities will include collaborating with cross-functional teams, performing research to develop cutting-edge AI models, writing clean and efficient software code, and optimizing AI algorithms for real-world applications. Additionally, the role requires testing, debugging, and ensuring the scalability of solutions to meet enterprise needs.


Backend + System Engineering


  • Architect and develop scalable backend systems and APIs for AI products
  • Build robust pipelines for data ingestion, processing and retrieval
  • Design secure and production-ready microservices and integrations

  • AI/ML/LLM Engineering


    • Develop, fine-tune, and deploy AI/ML models and LLM workflows
    • Build RAG systems (retrieval augmented generation), embeddings, vector search and agent workflows
    • Evaluate model outputs, improve accuracy, reduce hallucinations, and optimize latency/cost
    • Deploy AI workflows using cloud infrastructure and containers


    AI Product Development (Must-Have)

    • 7–10 years in backend development (Node, PHP, Python, Java)
    • 3–4 years hands-on experience in AI/ML + LLM development
    • Engineering graduate (B.E./B.Tech/M.E./M.Tech)
    • Work end-to-end on AI product lifecycle: discovery → prototyping → production → iteration
    • Translate business problems into technical solutions with measurable outcomes
    • Create scalable AI systems that are reliable, secure, and usable in production
    • Proven AI product development experience (mandatory)
    • Strong knowledge of backend frameworks & architecture
    • Strong problem-solving + ownership mindset
    • Proven proficiency in Pattern Recognition and Neural Networks
    • Hands-on experience in Natural Language Processing (NLP) and related technologies
    • Ability to solve complex problems and implement scalable AI solutions
    • Proficiency in programming languages such as Python, R, or Java
    • Excellent analytical and critical thinking skills

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