Sr. Software Engineer - AI

2–5 years of experience in AI/ML engineering.

Familiarity with AI/ ML concepts and application development using Generative AI.

Hands-on experience with AI frameworks such as LangChain, LlamaIndex, Haystack, or Hugging Face.

Proficiency in CI/CD tools and workflows (e.g., Git, Docker, Jenkins, Airflow).

Exposure to cloud platforms (AWS, Azure, or GCP) and services like S3, SageMaker, or Vertex AI.

Understanding of vector databases (e.g., OpenSearch, Pinecone, Weaviate) and embedding techniques.

Design, develop, and deploy AI-driven applications using RAG and Agentic AI frameworks.

Builds/ Optimizes machine learning models

Build and maintain scalable data pipelines and services to support AI workflows.

Implement RESTful APIs using Python frameworks (e.g., FastAPI, Flask) for AI model integration.

Collaborate with product and engineering teams to translate business needs into AI solutions.

Debug and optimize AI systems across the stack to ensure performance and reliability.

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General Summary:

The Senior AI Engineer (2 + years of experience) is responsible for designing and implementing intelligent, scalable AI/ ML solutions with a focus on Machine Learning, Retrieval-Augmented Generation (RAG), Agentic AI and Modular Cognitive Processes (MCP). This role is ideal for individuals who are passionate about the latest AI & ML advancements and eager to apply them in real-world applications. The engineer will collaborate with cross-functional teams to deliver high-quality, production-ready AI systems aligned with business goals and technical standards.