Artificial Intelligence Developer

3 weeks ago


Surat, India Appscrip Full time

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 FastAPIStrong 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.

(ref:hirist.tech)

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