Senior Software Engineer
4 weeks ago
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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