Job description
- We are seeking aGenerative AI Engineerwith 3-5 years of experience with strong background in developing agentic architectures and experience with various frameworks and observability tools relevant to generative AI applications. This role demands proficiency inPython, deployment experience, and familiarity with Retrieval-Augmented Generation (RAG) applications.
Responsibilities
- Design, develop, and implement agentic architecture for generative AI systems.
- Utilize frameworks such as Langchain, to enhance application performance and monitoring.
- Collaborate with cross-functional teams to build and deploy generative AI solutions that address business needs.
- Develop, test, and maintain agentic RAG applications, ensuring high performance and reliability.
- Develop, test, and maintain backend services and APIs using Python frameworks
- Experience in deploying machine learning models in production environments.
- Design and implement robust testing frameworks to assess model performance, including precision, recall, and other key performance indicators (KPIs).
- Continuously improve algorithms for accuracy, speed, and robustness in real-time.
- Stay updated with the latest advancements in generative AI technologies and methodologies to implement innovative solutions.
- Document processes, architectures, and code to ensure maintainability and knowledge sharing.
Required Skills Technical
Skills:
- Proficient in Python programming language in developing, training and evaluating deep learning models.
- Hands-on experience with frameworks like Langchainand Langraph.
- Version Control SystemsGIT, GitHub
- FastAPI, Flask, or Django REST Framework. Conduct evaluations of chat applications to assess effectiveness and user experience.
- Knowledge of various RAG applications and their implementation.
- Containerization and OrchestrationDocker and Kubernetes.
- Work with relational databases (PostgreSQL/MySQL) and NoSQL databases (MongoDB/Cassandra).
- Develop both synchronous (REST, gRPC) and asynchronous communication channels (using message brokers like RabbitMQ or Kafka).
Experience:
- Minimum of 3 years of experience in software engineering or related fields.
- Proven track record of developing generative AI applications.
- Experience in evaluating chat applications for functionality and user engagement.
Skills:
- Strong analytical and problem-solving skills.
- Excellent communication skills for collaboration with team members and stakeholders.
- Ability to work independently as well as part of a team in a fast-paced environment.
