Senior Software Engineer

4 weeks ago


Bengaluru, Karnataka, India Nexthire Full time

Job Title: Senior Software Engineer - GenAI Solutions

About the Role:

We are seeking a highly skilled Senior Software Engineer to join our team at Nexthire. As a key member of our engineering team, you will be responsible for designing and developing scalable GenAI services that meet the needs of our diverse user base.

Key Responsibilities:

  • Contribute to the development of GenAI services that are integral to our product offerings and user experiences.
  • Implement coding best practices to foster code modularity, reusability, and maintainability, enabling our AI services to remain flexible for future advancements.
  • Collaborate with cross-functional teams to integrate AI services into the wider product ecosystem, ensuring a smooth developer experience.
  • Assess and optimize existing AI services to enhance performance and conform to the latest industry trends.
  • Support and mentor other engineers, contributing to a culture that values technical skill and code quality.

Qualifications:

  • Bachelor's degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
  • At least 5 years of experience in software development, with exposure to AI or machine learning projects.
  • Proficiency in relevant programming languages and frameworks for AI development (e.g., Python).
  • Proven ability to develop scalable, reusable software components and services.
  • Good knowledge of software engineering principles and architectural standards.
  • Experience in working on and contributing to software project teams.

Preferred Skills:

  • Extensive knowledge and experience with GenAI concepts and their implementation.
  • Hands-on experience with Data Chunking, embedding approaches, and developing Retrieval Augmented Generation solutions.
  • Hands-on experience with LLMs context store development, vector search, prompt engineering.
  • Hands-on experience with building GenAI Web API REST services.
  • Experience with LLM model development, training, and end-to-end evaluation and MLOps CI/CD pipelines.
  • Experience with cloud-based development and familiarity with AI-related cloud services (e.g., AWS, Azure, GCP).
  • Understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes) for deploying AI services.
  • Strong communication skills, able to effectively convey technical ideas to varied audiences.
  • Participation in the AI and open-source communities is appreciated.
  • A dedication to continuous learning and skill enhancement in the field of AI technology.

Tools: Microsoft Azure Machine Learning, Azure OpenAI, Python, PyTorch, GraphQL, REST, JSON



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