
!!! Hiring Alert !!!
Role : Python Developer with AI Agent ExpertiseLocation: Remote Experience: 2-3 years Job Type: Contract (1 yr – Auto extendable)
Key Responsibilities:1. Develop, maintain, and deploy AI-driven applications and agents using Python.2. Integrate AI models with real-time systems using frameworks such as LangChain, RAG, and OpenAI/Gemini models.3. Design and implement REST APIs and cloud-based solutions using FastAPI and Google Cloud services.4. Utilize cloud technologies like Cloud Functions, API Gateway, Pub/Sub, BigQuery, Vertex AI, and AutoML to build scalable AI solutions.5. Collaborate with cross-functional teams to ensure seamless integration of AI models into existing pipelines.6. Develop and execute test strategies using Pytest to ensure code quality and functionality.7. Manage and optimize databases like MongoDB, Redis, and Vector databases for AI workloads.8. Utilize tools like Git, GitHub, Azure DevOps, and Jira for version control, project tracking, and CI/CD pipelines.9. Work with tools like Pinecone and LanceDB for vector storage and AI model deployment.10. Develop data visualization and reporting solutions using Looker Studio and related cloud tools.11. Stay up-to-date with advancements in AI, cloud technologies, and relevant libraries/frameworks.
Skills & Qualifications:• Languages: Python, SQL• Libraries & Frameworks: Functions Framework, FastAPI, NLTK, Pandas, Numpy, Matplotlib, Scikit-learn, Pydantic, Pytest, Azure OpenAI, OpenAI, Gemini, RAG, Lang Chain• Database: MongoDB, Redis, Vector Database (Pinecone, LanceDB)• Tools & Technologies: REST API, Git, GitHub, VS Code, GCloud CLI, Jupyter Notebook, Colab, Postman, Azure DevOps, Jira• Cloud Technologies: Google Cloud (Cloud Functions, API Gateway, Pub/Sub, BigQuery, Vertex AI, AutoML, Cloud Build, Cloud Scheduler, Cloud Storage, CI/CD, DataFlow), Looker Studio• Experience in deploying and maintaining AI models in cloud environments.• Strong problem-solving skills, attention to detail, and ability to work collaboratively.
Preferred Qualifications:• Experience working with AI models, machine learning frameworks, and integrating AI into cloud-based applications.• Familiarity with Google Cloud AI/ML tools such as Vertex AI and AutoML.• Knowledge of CI/CD pipelines for machine learning projects.
Key Skills
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