AI Developer (Generative AI, LangChain, LlamaIndex, Python, FastAPI)
at appscrip
Key Responsibilities
AI Model Development
- Design and implement advanced Generative AI models (e.g., GPT-based, LLaMA, etc.) to support applications across various domains, including text generation, summarization, and conversational agents.
- Utilize tools like LangChain and LlamaIndex to build robust AI-powered systems, ensuring seamless integration with data sources, APIs, and databases.
Backend Development with FastAPI
- Develop and maintain fast, efficient, and scalable FastAPI services to expose AI models and algorithms via RESTful APIs.
- Ensure optimal performance and low-latency for API endpoints, focusing on real-time data processing.
Pipeline and Integration
- Build and optimize data processing pipelines for AI models, including ingestion, transformation, and indexing of large datasets using tools like LangChain and LlamaIndex.
- Integrate AI models with external services, databases, and other backend systems to create end-to-end solutions.
Collaboration with Cross-Functional Teams
- Collaborate with data scientists, machine learning engineers, and product teams to define project requirements, technical feasibility, and timelines.
- Work with front-end developers to integrate AI-powered functionalities into web applications.
Model Optimization and Fine-Tuning
- Fine-tune and optimize pre-trained Generative AI models to improve accuracy, performance, and scalability for specific business use cases.
- Ensure efficient deployment of models in production environments, addressing issues related to memory, latency, and resource management.
Documentation and Code Quality
- Maintain high standards of code quality, write clear, maintainable code, and conduct thorough unit and integration tests.
- Document AI model architectures, APIs, and workflows for future reference and onboarding of team members.
Research and Innovation
- Stay updated with the latest advancements in Generative AI, LangChain, and LlamaIndex, and actively contribute to the adoption of new techniques and technologies.
- Propose and explore innovative ways to leverage cutting-edge AI technologies to solve complex problems.
Required Skills and Experience
Expertise in Generative AI
Strong experience working with Generative AI models, including but not limited to GPT-3/4, LLaMA, or other large language models (LLMs).
LangChain & LlamaIndex
Hands-on experience with LangChain for building language model-driven applications, and LlamaIndex for efficient data indexing and querying.
Python Programming
Proficiency in Python for building AI applications, working with frameworks such as TensorFlow, PyTorch, Hugging Face, and others.
API Development with FastAPI
Strong experience developing RESTful APIs using FastAPI, with a focus on high-performance, scalable web services.
NLP & Machine Learning
Solid foundation in Natural Language Processing (NLP) and machine learning techniques, including data preprocessing, feature engineering, model evaluation, and fine-tuning.
Database & Storage Systems Familiarity with relational and NoSQL databases, data storage, and management strategies for large-scale AI datasets.
Version Control & CI/CD
Experience with Git, GitHub, and implementing CI/CD pipelines for seamless deployment.
Preferred Skills
Containerization & Cloud Deployment
Familiarity with Docker, Kubernetes, and cloud platforms (e.g., AWS, GCP, Azure) for deploying scalable AI applications.
Data Engineering
Experience in working with data pipelines and frameworks such as Apache Spark, Airflow, or Dask.
Knowledge of Front-End Technologies Familiarity with front-end frameworks (React, Vue.js, etc.) for integrating AI APIs with user-facing applications.
Shubham Vishwakarma
Full Stack Developer - Averlon
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#dotnetdeveloper
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Full Stack Developer - Averlon