Lead AI Engineer - AI System, AI frameworks, APIs
India, Bengaluru, Karnataka
R
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Architect microservices for AI
- Build Retrieval-Augmented Generation architectures
- Collaborate with business product and SMEs
- Create scalable technical specifications
- Customize AI models for domain use cases
- Define technical standards and best practices
- Design AI systems
- Design distributed data pipelines
- Develop autonomous AI “Agents”
- Document solutions and architecture decisions
- Drive MLOps and LLMOps practices
- Evaluate and adopt AI techniques
- Foster team technical growth
- Guide technical feasibility assessments
- Integrate AI models using APIs
- Lead implementation of enterprise AI pipelines
- Lead proof-of-concept projects
- Lead technical architecture decisions
- Translate AI research into roadmaps
Perks/Benefits
- Access to Headspace app
- Career development and growth
- Employee incentive programs
- Flexibility and work-life balance
- Hybrid work model
- Mental health days
- Paid volunteer days off
- Pro bono consulting opportunities
- Retirement savings
- Tuition reimbursement
- Work from anywhere
Skills/Tech-stack
AI Governance | APIs | AWS | Autonomous Agents | Azure | Cloud Native | Cloud Native Architecture | Cloud platform | Data Pipelines | Distributed Systems | Docker | Embeddings | Google Cloud | Google Cloud Platform | Information Retrieval | JAX | Kubernetes | LLMOps | MLOps | Machine Learning | Microservices | Model Risk Management | Model risk | PyTorch | Python | Regulatory Compliance | Retrieval-Augmented Generation | Risk Management | Semantic Search | TensorFlow | Terraform | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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