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6.0 - 10.0 years
0 Lacs
pune, maharashtra
On-site
We are looking for a skilled, motivated, and quick-learning Full Stack Developer to join our team dedicated to cutting-edge Gen AI development work. As a Full Stack Developer, you will be responsible for creating innovative applications and solutions that encompass both frontend and backend technologies. While our solutions often involve the use of Retrieval Augmented Generation (RAG) and Agentic frameworks, your role will extend beyond these technologies to encompass a variety of AI tools and techniques. Your responsibilities will include developing and maintaining web applications using Angular, NDBX frameworks, and other modern technologies. You will design and implement databases in Postgres DB, employ ingestion and retrieval pipelines utilizing pgvector and neo4j, and ensure the implementation of efficient and secure data practices. Additionally, you will work with various generative AI models and frameworks such as LangChain, Haystack, and LlamIndex for tasks like chucking, embeddings, chat completions, and integration with different data sources. You will collaborate with team members to integrate GenAI capabilities into applications, write clean and efficient code adhering to company standards, conduct testing to identify and fix bugs, and utilize collaboration tools like GitHub for effective team working and code management. Staying updated with emerging technologies and applying them to operations will be essential, showcasing a strong desire for continuous learning. Qualifications and Experience: - Bachelor's degree in Computer Science, Information Technology, or a related field with at least 6 years of working experience. - Proven experience as a Full Stack Developer with a focus on designing, developing, and deploying end-to-end applications. - Knowledge of front-end languages and libraries such as HTML/CSS, JavaScript, XML, and jQuery. - Experience with Angular and NDBX frameworks, as well as database technologies like Postgres DB and vector databases. - Proficiency in developing APIs following OpenAPI standards. - Familiarity with generative AI models on cloud platforms like Azure and AWS, including techniques like Retrieval Augmented Generation, Prompt engineering, Agentic RAG, and Model context protocols. - Experience with collaboration tools like GitHub and docker images for packaging applications. At Allianz, we believe in fostering a diverse and inclusive workforce. We are proud to be an equal opportunity employer that values bringing your authentic self to work, regardless of background, appearance, preferences, or beliefs. Together, we can create an environment where everyone feels empowered to explore, grow, and contribute to a better future for our customers and the global community. Join us at Allianz and let's work together to care for tomorrow.,
Posted 5 days ago
3.0 - 6.0 years
15 - 20 Lacs
Thiruvananthapuram
Work from Office
• Bachelor's degree in Computer Science, Information Technology, or related field • At least 4+ years of relevant experience in full stack development. • Interest and experience in working with GenAI solution implementations. • Hands-on experience with front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. • Experience with back-end technologies such as Node.js, Python, or Java. • Familiarity with database management systems like MySQL, PostgreSQL, or MongoDB. • Hands-on experience preferred in cloud platforms (AWS/Azure). • Fair knowledge in containerisation (docker) and their orchestration platforms like Kubernetes • Proficiency in version control systems like Git. • Strong problem-solving and analytical skills. • Good understanding of Agile software development frameworks and tools like JIRA. • Open-minded, good communication and interpersonal skills. Preferred/Additional Technical And Professional Expertise • Has good understanding of traditional enterprise technology stack and enterprise networking concepts • Use different generative AI models & frameworks such as LangChain, Haystack, LlamIndex etc for chucking, embeddings, chat completions, integration with different data sources etc. • Experience working with generative foundational AI models and using API endpoints from Azure/AWS to build applications on top of these foundational models for RAG, fine-tuning approaches.
Posted 1 week ago
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