Job Description :

Position : Lead AI Engineer

Experience : 7 to 10 Years

Location : Bangalore, India

Work Mode : 5 Days Work From Office

Employment Type : Full-Time

About the Role :

We are looking for an experienced and technically strong Lead AI Engineer to join our engineering team in Bangalore. The ideal candidate will have 7 to 10 years of experience in software engineering and AI/ML, with strong hands-on expertise in Python backend development and Artificial Intelligence. The candidate will be responsible for designing, developing, and deploying scalable AI-powered applications and services.

Key Responsibilities :

AI & Machine Learning Engineering :

- Design, develop, and deploy scalable AI/ML solutions for business and product use cases.

- Build and integrate machine learning and AI models into production applications.

- Work with Generative AI, LLMs, NLP, Machine Learning, and Deep Learning technologies.

- Evaluate different AI/ML models and select appropriate approaches based on business requirements.

- Develop production-ready AI pipelines and model-serving solutions.

- Optimize AI systems for performance, scalability, reliability, and cost.

Python Backend Development :

- Strongly hands-on with Python backend development is mandatory.

- Design and develop scalable backend services using Python.

- Build robust REST APIs and microservices using frameworks such as FastAPI, Flask, or Django.

- Integrate AI/ML models with backend applications and enterprise systems.

- Develop secure, maintainable, well-tested, and high-performance backend services.

- Work with databases, caching systems, message queues, and external APIs.

- Troubleshoot and optimize backend applications for scalability and performance.

Generative AI & LLM :

- Develop applications using Large Language Models (LLMs).

- Work with RAG (Retrieval-Augmented Generation) architectures and AI-powered applications.

- Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies is preferred.

- Work with prompt engineering, embeddings, vector databases, and model orchestration.

- Integrate commercial and/or open-source AI models into production systems.

- Implement evaluation, monitoring, and optimization strategies for AI applications.

Technical Leadership :

- Lead AI engineering initiatives from architecture and development through production deployment.

- Provide technical guidance and mentorship to junior and senior engineers.

- Conduct code reviews and establish engineering best practices.

- Make architecture and technology decisions for AI and backend systems.

- Collaborate with Product Managers, Data Scientists, ML Engineers, Software Engineers, and other stakeholders.

- Translate business requirements into scalable technical solutions.

- Identify new AI technologies and evaluate their potential business applications.

Cloud & Deployment :

- Design and deploy AI/backend applications on cloud platforms such as AWS, Azure, or GCP.

- Work with Docker, Kubernetes, CI/CD pipelines, and cloud-native architectures.

- Implement monitoring, logging, security, and observability for production AI systems.

- Ensure AI services are scalable, reliable, and production-ready.

Mandatory Skills :

- Python, Python Backend Development, REST APIs, FastAPI / Flask / Django, Artificial Intelligence / Machine Learning, Generative AI / LLM, Microservices Architecture, API Development & Integration, SQL and/or NoSQL Databases, Git and Version Control, Cloud Platforms AWS / Azure / GCP, Docker / Containerization, Software Engineering Best Practices.

What We Are Looking For :

- Is a hands-on AI Engineer, rather than purely a people manager.

- Has strong Python backend development experience.

- Can independently design and implement AI-powered applications.

- Understands both AI/ML concepts and production software engineering.

- Can take ownership of complex technical problems.

- Has strong system-design and architectural thinking.

- Can mentor engineers and drive technical excellence.

- Is comfortable working in a fast-paced, collaborative environment.

- Is willing to work 5 days from office in Bangalore.