Sr. Software Engineer - AI

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.

Location: Bangalore

Work Type: Hybrid

Essential Duties and Responsibilities:

• 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.
• Stay current with emerging AI tools, libraries, and research, and integrate them into projects.
• Contribute to the development of internal AI standards, reusable components, and best practices.
• Work with vector databases, embeddings, and LLMs (e.g., GPT-4, Claude, Mistral) for intelligent retrieval and reasoning.
• Participate in code reviews, testing, and validation of AI components using frameworks like pytest or unittest.
• Document technical designs, workflows, and research findings for internal knowledge sharing.
• Adapt quickly to evolving technologies and business requirements in a fast-paced environment.

Knowledge, Skills, and/or Abilities Required:

• 2-5 years of experience in AI/ML engineering.
• Familiarity with AI/ ML concepts and application development using Generative AI.
• Strong Python programming skills with a solid foundation in OOP and software engineering principles.
• 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.
• Strong problem-solving skills and ability to work independently or in a team.
• Interest in exploring and implementing cutting-edge AI/ ML tools and technologies.
• Experience with SQL/NoSQL databases and data manipulation.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.

Educational/Vocational/Previous Experience Recommendations:

• Bachelor/ Master degree in CS or related field.
• 2+ years of relevant experience

Working Conditions:

Onsite/Hybrid/Remote depending on location