Senior AI Software Engineer

Job Responsibilities :

- Development: Design develop ship and maintain applications using modern frameworks and technologies. Own roadmaps plans and timelines. Lead architectural discussions and make technical decisions. Work on both rapid prototypes and enterprise-quality high-scale products.

- AI Applications: Select and deploy foundation models and LLMs as a service. Write and refine prompts. Measure evaluate and optimize model performance. Integrate models into workflows. Extend model capabilities with memory tools guardrails and multi-agent patterns. Acquire clean and synthesize data sets. Partner with domain experts to capture knowledge. Stay current with AI trends and apply them to solve real-world problems.

- Cloud: Leverage the tools and services of a major cloud provider. Build APIs microservices and serverless functions to support application functionality. Manage our cloud environment and CI/CD pipelines. Make tradeoffs around performance and cost.

- Communications: Partner with business leaders in India US and Europe. Clearly communicate status technical challenges tradeoffs and insights.

Collaboration: Work closely with product managers designers data scientists domain experts and lead customers. Help shape requirements and roadmap. Help manage complex tradeoffs in speed quality and scope.

- Leadership: Build relationships raise issues define alternatives and uncover resources. Establish practices processes and culture for a growing team.

Requirements :

- Education: Bachelors in Computer Science Information Technology AI/ML or Data Science fields. Masters preferred.

- Experience: 5 years of experience as a Software Engineer as an AI/ML or in a similar role.

- Development: Proficient in Python or JavaScript/Typescript. Java/Go/C nice to have. Hands-on back-end experience. Familiarity with common front-end technologies. Familiarity with relational non-relational and vector databases. Comfort with Agile processes.

- AI: More than one year of engineering experience (including relevant projects) building production-quality applications leveraging LLMs. Experience with frameworks for AI applications (e.g. LangChain LlamaIndex Haystack). Knowledge of deep learning and ML frameworks (e.g. TensorFlow PyTorch). Experience managing data sets. Familiarity with MLOps.

- Cloud: Experience with cloud platforms (e.g. AWS Azure or GCP). Solid understanding of RESTful APIs microservices architecture and containerization.

- Soft skills: Excellent communication and collaboration skills. Results-driven entrepreneurial and comfortable working from 01.

Required Skills:

Python JavaScript/TypeScript Aws Azure Gen AI Agentic