Lead AI Engineer - AI System, AI frameworks, APIs
India, Bengaluru, Karnataka
R
INR 3584K-5000K (estimate) Senior-level Full Time
Tasks
- Architect retrieval augmented generation architectures
- Assess technical feasibility for new features
- Build APIs for AI model access
- Build multi component AI pipelines
- Champion MLOps and LLMOps practices
- Collaborate with business leaders and product teams
- Customize AI models for internal domains
- Define technical standards and best practices
- Design and lead enterprise AI systems
- Design scalable distributed data pipelines
- Develop autonomous AI “Agents”
- Document solutions and architecture decisions
- Evaluate and adopt AI techniques
- Foster team technical growth
- Implement microservices for AI workflows
- Integrate AI models into production systems
- Lead technical architecture decisions
- Lead technical discussions with stakeholders
- Oversee proof of concept projects
- Perform AI development and iteration
- Translate AI research into technical roadmaps
- Translate business requirements into technical specifications
Perks/Benefits
- Access to Headspace app
- Career development
- Employee incentive programs
- Flex time work life balance
- Flexible vacation
- Hybrid work model
- Mental health days
- Paid volunteer days off
- Retirement savings
- Social impact opportunities
- Tuition reimbursement
- Work from anywhere
Skills/Tech-stack
AI Governance | AWS | Autonomous Agents | Azure | Data Pipelines | Distributed Systems | Docker | Embeddings | GCP | Information Retrieval | JAX | Kubernetes | LLMOps | MLOps | Machine Learning | Microservices | Model Risk Management | Model risk | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | Risk Management | Semantic Search | TensorFlow | Terraform | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Software Engineer | Staff Software Engineer
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