INDEXNINE Data And AI Engineer

INDEXNINE Data And AI Engineer

Job Description :

We are seeking a highly motivated Software Engineer (Data and AI) with 1-3 years of

experience to join our esteemed team. The ideal candidate will possess robust product

engineering skills coupled with a solid foundation in artificial intelligence technologies. This role

involves designing, developing, and deploying AI-powered products, ensuring seamless

integration with existing systems, and contributing to the strategic direction of our AI initiatives.

Responsibilities:

AI Product Development:

  • Design, develop, and deploy AI-driven applications utilizing Python, Pandas,
  • Langchain (or similar frameworks), and related technologies.

Machine Learning:

  • Implement basic machine learning models to enhance product functionalities and
  • performance.

Prompt Engineering:

  • Develop and optimize prompts to facilitate effective interactions with AI models.
  • Retrieval-Augmented Generation (RAG) & Vector Search:
  • Develop and integrate RAG and vector search capabilities to improve data retrieval and user interactions.

LLM & AI Agent Deployment:

  • Deploy and manage Large Language Models (LLMs) and AI agents, ensuring
  • scalability and performance.
  • System Integration:
  • Integrate new AI systems with existing infrastructure, ensuring compatibility and reliability across platforms.

Full-Stack Development (Plus):

  • Assist in both backend and frontend development to ensure cohesive and robust
  • product functionality.
  • Frontend Development (Highly Desirable):
  • Develop intuitive and user-friendly interfaces to enhance the overall user experience.

Database Management:

  • Utilize and manage databases effectively to support AI model training and
  • product features.

Product Design & Strategy:

  • Collaborate with cross-functional teams to design AI products, focusing on cost-efficiency, deployment strategies, and user experience.

Data Handling:

  • Employ Pandas for data manipulation and analysis to support AI initiatives.

Documentation & Best Practices:

  • Maintain comprehensive documentation and adhere to software development best practices, including version control and agile methodologies.

Continuous Improvement:

  • Stay abreast of the latest advancements in AI and product engineering, proposing enhancements to elevate product offerings.

Qualification:

Education:

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related
  • field.

Experience:

  • 1-3 years of experience in product engineering, data engineering, or a similar role with a focus on AI technologies.

Technical Skills:

  • Proficient in Python and Pandas for data manipulation.
  • Experience with Langchain or similar AI frameworks.
  • Basic understanding of machine learning concepts and model implementation.
  • Skills in prompt engineering for optimizing AI model interactions.
  • Experience with Retrieval-Augmented Generation (RAG) and vector search technologies.
  • Knowledge of deploying and managing LLMs and AI agents.
  • Basic understanding of databases (SQL/NoSQL) and database management.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) is a plus.
  • Full-Stack Development: Ability to work on both backend and frontend aspects is a plus.
  • Frontend Development: Proficiency in frontend technologies (e.g., React, Vue.js) is highly desirable.

Product Engineering:

  • Comprehensive understanding of the product lifecycle from design to deployment.
  • Ability to manage product costs and resource allocation efficiently.

Integration Skills:

  • Proven ability to integrate new technologies into existing systems seamlessly.

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Keen attention to detail.
  • Excellent verbal and written communication skills.
  • Ability to collaborate effectively within cross-functional teams.

Preferred Qualifications:

  • Experience with containerization technologies such as Docker and Kubernetes.
  • Knowledge of advanced machine learning pipelines and model deployment strategies.
  • Previous involvement in AI product strategy and design.
  • Experience with frontend frameworks such as React or Vue.js.

Wanted to Apply?

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