Agentic AI Engineer

Description:

Technical Skills:
• Advanced proficiency in Python.• 4+ years of experience in software development with a strong focus on AI technologies.• Proficiency in Python programming and experience with Langgraph and CrewAI.• Hands-on experience with FastAPI for building APIs and microservices.• Strong knowledge of MongoDB and VectorDB for data handling and persistence.• Familiarity with microservice architecture and cloud-based deployments.• Excellent problem-solving skills and the ability to work in a fast-paced environment.• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques• Experience with big data processing using Spark for large-scale data analytics• Version control and experiment tracking using Git and MLflow• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and• LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.• Experience in creating LLD for the provided architecture.• Experience working in microservices based architecture.

Professional Competencies:
• Strong analytical thinking with ability to solve complex ML challenges• Excellent communication skills for presenting technical findings to diverse audiences• Experience translating business requirements into data science solutions• Project management skills for coordinating ML experiments and deployments• Strong collaboration abilities for working with cross-functional teams• Dedication to staying current with latest ML research and best practices• Ability to mentor and share knowledge with team members

• Design, develop, and maintain AI-driven applications using Python, Langgraph, and CrewAI.
  • Implement FastAPI to create high-performance APIs and microservices.• Utilize MongoDB and VectorDB for data storage and management, ensuring efficient retrieval and manipulation of data.• Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization.• Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models.• Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements.• Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments.• Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment.• Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development.• Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling.• Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function.• Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment.