Overview
Build and deliver full-stack enterprise solutions comprising agentic flows and application integration, with a focus on process efficiencies, automation, simplification, and risk reduction. Contribute to the adoption and integration of Generative AI technologies and agentic flows across enterprise-wide applications and processes.
What you'll do
- Contribute significantly to the engineering and delivery of end-to-end solutions.
- Adopt a product-focused approach to develop robust, scalable, and user-friendly solutions.
- Continuously test, learn, and tackle cutting-edge problems in a fast-paced environment.
- Engage in pair programming, promote lean methodologies, and streamline processes by removing unnecessary bureaucracy.
- Prioritize rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution.
- Develop foundational components and mature technology capabilities in Artificial Intelligence and Large Language Models.
- Drive the enterprise-wide adoption and successful integration of Generative AI solutions.
- Contribute to the technical direction of products and services, instil engineering best practices, and promote cultural change within the organization.
- Collaborate with various technology teams to promote the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes.
- Develop partnerships with third-party providers to validate and adopt best-of-breed solutions.
- Continuously acquire new skills and navigate complex technical and organizational challenges.
- Engage effectively with diverse stakeholders through strong communication and collaboration.
What you'll need
- A minimum of 10+ years of professional experience in financial services, technology firms, or dynamic start-up environments.
- Strong engineering experience with high-performance, large-scale distributed systems.
- Fluency in Java, Python, or both.
- UI development skills with technologies such as React JS or StreamLit.
- Experience with frameworks such as Spring (Boot, Core, JDBC, AI, etc.) or Flask.
- Proficiency in database technologies, such as Oracle, Postgres, or MongoDB.
- Experience designing and implementing REST or WebSocket APIs.
- Experience with messaging and integration platforms like Kafka or JMS/MQ.
- Familiarity with one of the major cloud platforms including AWS, GCP, or Azure.
- Strong knowledge of infrastructure tools, including Docker, Kubernetes, Terraform, and Helm.
- Experience with build and deployment (CI/CD) tools such as Jenkins and Gradle.
- Strong hands-on experience with Agile delivery, product management, and value stream methodologies.
- Proven track record in producing high-quality project artifacts.
- Demonstrated ability to drive the design, development, and implementation of scalable systems.
- Ability to quickly learn new skills and effectively navigate complex organizational structures.
- Bachelor's degree in Computer Science, Information Technology, or Engineering is required.
Nice to have
- Proficiency in Javascript/Typescript or Golang.
- Understanding of Gen AI Engineering, including LangChain, LangGraph, MLFlow, LLMs, transformers, agentic frameworks, vector stores, and search algorithms.
- Experience using AI coding assistants such as CoPilot or Devin.
- A Master's degree.
Details
- Location: Pune, Maharashtra, India.
- Employment type: Full time.
Read the full description and apply on the company’s own careers page.