Generative AI Developer

Job Opportunity

We are seeking a highly skilled Generative AI Developer to join our dynamic team. As a Generative AI Developer, you will be responsible for integrating backend development expertise with the latest advancements in AI to create impactful solutions.

The ideal candidate will have a strong background in Python and experience with backend frameworks like FastAPI, Django, or Flask. They will also have knowledge of generative AI models and frameworks like LangChain or Llama-Index, as well as proficiency in data management using relational databases (PostgreSQL, MySQL) and vector databases (Pinecone, Weaviate, Supabase, PGVector).

Key Responsibilities:

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• Develop and implement generative AI models using frameworks like LangChain or Llama-Index.">
• Apply prompt engineering techniques to design effective queries and ensure optimal LLM responses for diverse use cases.">
• Maintain scalable backend systems using Python frameworks such as FastAPI, Django, or Flask.">
• Optimize database performance with relational databases (PostgreSQL, MySQL) and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for advanced AI workflows.">
• Implement Retrieval-Augmented Generation (RAG) workflows by integrating vector databases like Pinecone, Weaviate, Supabase, or PGVector for efficient similarity searches.">
• Work with embeddings and build solutions that leverage similarity search for personalized query resolution.">
• Explore and process multimodal data, including image and video understanding and generation.">
• Integrate observability tools for monitoring and evaluating LLM performance to ensure system reliability.">
• Design and implement RESTful APIs for seamless communication between systems and services.">
• Implement asynchronous programming and adhere to clean code principles for maintainable, high-quality code.">
• Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems.">
• Manage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems.">
• Leverage containerization tools such as Docker for efficient and reproducible deployments.">
• Ensure security and scalability of backend systems with adherence to industry best practices.">
• Deploy AI models in production environments using Docker and manage pipelines for scalability and reliability.">
• Write and manage unit and integration tests (e.g. , Pytest), along with application debugging and performance optimization.">
• Understand asynchronous programming concepts for handling concurrent tasks efficiently.">

Requirements:

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• Strong Programming Skills: Proficiency in Python and experience with backend frameworks like FastAPI, Django, or Flask.">
• Generative AI Expertise: Knowledge of frameworks like LangChain, Llama-Index, or similar tools, with experience in prompt engineering and Retrieval-Augmented Generation (RAG).">
• Data Management: Hands-on experience with relational databases (PostgreSQL, MySQL) and vector databases (Pinecone, Weaviate, Supabase, PGVector) for embeddings and similarity search.">
• Machine Learning Knowledge: Familiarity with LLMs, embeddings, and multimodal AI applications involving text, images, or video.">
• Deployment Experience: Proficiency in deploying AI models in production environments using Docker and managing pipelines for scalability and reliability.">
• Testing and Debugging: Strong skills in writing and managing unit and integration tests (e.g. , Pytest), along with application debugging and performance optimization.">
• Asynchronous Programming: Understanding of asynchronous programming concepts for handling concurrent tasks efficiently.">
• Cloud Proficiency: Familiarity with platforms like AWS, GCP, or Azure, including serverless applications and VM setups.">
• Frontend Basics: Understanding of HTML, CSS, and optionally JavaScript frameworks like Angular or React for better collaboration with frontend teams.">
• Observability and Monitoring: Experience with observability tools to track and evaluate LLM performance in real-time.">
• Cutting-Edge Tech: Awareness of trends in generative AI, including multimodal AI applications and advanced agentic workflows.">
• Security Practices: Knowledge of secure coding practices and backend system hardening.">
• Certifications: Relevant certifications in AI, machine learning, or cloud technologies are a plus.">

About the Role:

This is an exciting opportunity to work on cutting-edge AI projects and contribute to the development of innovative solutions. If you have a passion for generative AI and want to be part of a dynamic team, we encourage you to apply.

Contact Us:

Please submit your resume and cover letter to us via email. We look forward to hearing from you