Agentic AI Engineer-Immediate Joiner

Job description

Job Title: Agentic AI

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.