AI Engineer

"Job Description:

Key Responsibilities

Develop and maintain full-stack AI-driven applications using FastAPI and modern front-end frameworks like React, Angular, Vue, or Next.js.

Design, implement, and optimize AI models, including Generative AI models, to solve complex problems.

Deploy and manage applications in cloud environments (AWS, Azure, or GCP), ensuring scalability, resilience, and cost efficiency.

Integrate and optimize AI models using frameworks like LangChain, LlamaIndex, and agent orchestration tools such as LangGraph, AutoGen, and CrewAI.

Implement monitoring and observability solutions for real-time tracking, logging, and debugging of AI models and APIs.

Fine-tune AI models as needed for performance and accuracy, leveraging techniques like transfer learning and parameter optimization.

Ensure robust error handling and fault tolerance to maintain high availability and performance.

Design and implement disconnected architectures that can operate with limited or intermittent connectivity.

Integrate web crawling and data ingestion pipelines to automate data collection from various sources.

Collaborate with cross-functional teams, including data scientists, front-end developers, and DevOps engineers, to deploy AI models into production.

Participate in code reviews, provide constructive feedback, and contribute to best practices in AI development.

Stay updated with the latest advancements in AI, cloud technologies, web development, and agent-based architectures.

Required Skills Experience

Proficiency in Python and experience with FastAPI or similar frameworks.

Strong front-end development experience with React, Angular, Vue, or Next.js, including state management and UI optimization.

Experience deploying applications in AWS, Azure, or GCP, including containerization (Docker, Kubernetes), serverless computing, and CI/CD pipelines.

Strong understanding of monitoring and observability tools (e.g., Prometheus, Grafana, OpenTelemetry, ELK stack).

Hands-on experience with LLMs, fine-tuning techniques, RAG (Retrieval-Augmented Generation), and AI model optimization.

Proficiency in LangChain, LlamaIndex, and agent-based AI orchestration frameworks such as LangGraph, AutoGen, and CrewAI.

Knowledge of web crawling techniques, scraping frameworks (Scrapy, BeautifulSoup, Selenium), and handling anti-bot mechanisms.

Experience designing resilient, event-driven, or disconnected architectures using message queues (Kafka, RabbitMQ), offline storage, and sync mechanisms.

Strong grasp of error handling, exception management, and fault-tolerant system design.

Knowledge of secure API design, authentication, authorization (OAuth, JWT, RBAC), and data security best practices.

Experience with relational databases (MySQL, PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cassandra).

Experience in full-stack performance optimization, including front-end responsiveness and API efficiency.

Preferred Qualifications

Experience working with LangChain, Hugging Face, or other AI/ML libraries.

Familiarity with vector databases (Pinecone, FAISS, ChromaDB) for efficient AI-powered search.

Exposure to multi-agent AI architectures and LLM orchestration frameworks (LangGraph, AutoGen, CrewAI).

Experience working with offline-capable applications that can sync data when connectivity is restored.

Prior experience in developing AI-powered chatbots or automation workflows."

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