Location
Multiple Locations
Highlights
Innovate with the latest AI technologies, collaborate with top-notch engineers, and build impactful software solutions.
Description
Job Summary
pWe are seeking a skilled Python Developer to join our team in developing and maintaining Python-based components for Generative AI use cases. This role involves designing, testing, and iterating on prompts and workflows to ensure high-quality output. The ideal candidate will collaborate with cross-functional teams to integrate Generative AI capabilities into applications via APIs and service layers.
Responsibilities
- Develop Python-based components for Generative AI use cases.
- Design, test, and iterate on prompts and AI workflows.
- Integrate Generative AI solutions into applications through APIs and service layers.
- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
- Implement offline and online evaluation approaches for model monitoring.
- Apply software engineering best practices including code reviews, unit testing, documentation, and CI/CD development.
- Troubleshoot production issues and optimize latency and cost for AI-powered features.
Required Skills
- Python programming
- Prompt engineering
- LLM-based workflows
- API integration
- CI/CD development
Required Skills Explained
- Python Proficiency: Essential for developing and maintaining Python-based components, building Generative AI solutions, and integrating AI capabilities into applications.
- Prompt Engineering: Crucial for designing, testing, and iterating on prompts to enhance response quality, relevance, and safety.
- AI Fundamentals: Necessary for understanding the application of AI in real-world products, ensuring effective implementation and translation of business requirements into AI-driven solutions.
- CI/CD Practices: Important for implementing continuous integration and continuous deployment to ensure reliable, scalable, and performant services.
- Problem Solving: Key skill for troubleshooting production issues, optimizing latency and cost, and improving observability for AI-powered features.
Who is this for
pThis role suits candidates with strong Python skills and experience in developing Generative AI solutions. Individuals who have a passion for integrating AI into real-world products, are detail-oriented, and enjoy working in cross-functional teams will thrive here.
Why This Job is a Good Opportunity
ulliGrowth in Generative AI: The role aligns with the rapidly growing field of Generative AI, offering opportunities to stay at the forefront of technological advancements.liImpactful Work: As a Back End Developer in Generative AI, you'll have significant influence on how these technologies are applied and integrated into real-world solutions.liCollaborative Environment: The opportunity to collaborate with cross-functional teams ensures that your work contributes meaningfully to measurable outcomes.liExposure to Cutting-Edge Technologies: Working with frameworks like LangChain, LlamaIndex, and integrating with model APIs such as OpenAI will keep you updated with the latest AI technologies.
Interview Preparation Tips
- Practice Coding Problems: Focus on enhancing your Python skills by solving coding challenges to demonstrate proficiency during interviews.
- Prepare Case Studies: Develop case studies showcasing how you've successfully implemented Generative AI solutions in previous roles or projects.
- Understand Best Practices: Be prepared to discuss CI/CD, prompt engineering, and responsible AI practices as these are integral parts of the role.
- Stay Updated: Keep abreast of the latest developments in Generative AI by reading relevant research papers and following industry trends.
Career Growth in This Role
pCareer growth in this role is significant, offering opportunities to specialize further in Generative AI or move into leadership positions. You can also explore expanding your expertise to other areas of software development such as machine learning engineering or data science. The field's rapid evolution ensures continuous learning and advancement.
Explore More Opportunities
Skills
Frequently Asked Questions
What kind of experience is preferred?Experience with LLM integration patterns such as RAG, tool/function calling, and structured output generation is preferred.
Is there any specific education qualification needed?B.Tech / M.Tech / B.Sc / M.Sc / BCA / MCA from an Indian Institute of Technology (IIT) or National Institute of Technology (NIT).
What are the responsibilities related to AI integration?Integrate Generative AI solutions into applications via APIs and service layers, ensuring reliability, scalability, and performance.
