AI Senior Engineer
5 days ago
Job Title:
AI Senior Engineer
Experience:
7+ Years
Location:
Bangalore
Job Description
We are seeking a
Senior AI Engineer
with strong expertise in software engineering, cloud platforms, and AI-powered development. The ideal candidate will combine deep technical proficiency in
.NET Core or Python
with hands-on experience in
AI frameworks, cloud technologies (AWS)
, and modern software architectures. This role involves designing and developing intelligent, scalable solutions leveraging the latest
AI and machine learning tools
.
Roles & Responsibilities
- Design and develop scalable, high-performance AI-driven applications and services.
- Create and maintain high-level solution architecture and microservices-based systems.
- Build and integrate RESTful and GraphQL APIs for AI and data-driven applications.
- Implement AI workflows, data pipelines, and intelligent automation solutions.
- Develop and deploy applications on AWS Cloud, ensuring efficiency and scalability.
- Collaborate with cross-functional teams to define, design, and deliver innovative AI solutions.
- Utilize AI-powered engineering tools to accelerate development and enhance productivity.
- Ensure code quality, secure coding practices, and compliance with best development standards.
- Support DevOps and CI/CD processes using GitHub and GitHub Actions.
- Monitor and optimize system performance using tools such as Observe, Prometheus, and Grafana.
- Continuously explore emerging AI frameworks, libraries, and tools for potential adoption.
Essential Skills
- Minimum 7+ years of hands-on experience in software development.
- Proficiency in .NET Core or Python.
- Strong understanding of Microservices Architecture and API development (REST, GraphQL).
- Experience with databases such as Oracle, PostgreSQL, or AWS Aurora.
- Extensive experience in AWS Cloud services.
- Hands-on expertise with source control (GitHub) and CI/CD pipelines (GitHub Actions).
- Awareness or experience in DevOps / DevSecOps methodologies.
- Familiarity with monitoring tools such as Observe, Prometheus, Grafana.
- Experience in Secure Coding Practices.
- Strong experience using AI-powered development tools like Cline and GitHub Copilot.
- Knowledge or exposure to AI ecosystems such as Anthropic Claude, Llama, LiteLLM, Cursor, Windsurf / Codeium, VO Vercel, Continue, Aider, Cline, LangChain, LangGraph, and Hugging Face.
- Exposure to RAG (Retrieval-Augmented Generation) using LlamaIndex, LangChain, or similar frameworks.
- Experience building Agentic AI systems using AutoGen, SemanticKernel, Pydantic, or related frameworks.
- Excellent communication and documentation skills.
- Strong problem-solving abilities and a proactive, self-managed work approach.
Good to Have
- Hands-on experience integrating AI models into enterprise-grade applications.
- Certification in AWS, AI/ML, or Cloud Architecture.
- Experience working in an Agile/Scrum environment.
- Contributions to open-source AI projects or research initiatives.
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