Bulwark Software Research
Lead AI Engineer - Python
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Onsite
- Seniority
- Lead
- Employment
- Full time
- Experience
- 7+ years
- Category
- Ai engineering
- Posted
Skills
Full description
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.