Lead AI/ML Engineer
IN - AHMEDABAD, India
INR 2250K-4170K (estimate) Senior-level Full Time
Tasks
- Add LLMOps tracing and debugging
- Architect agentic systems
- Build high-throughput data pipelines
- Build multi-agent workflows
- Define agentic architecture roadmap
- Define standardized tool interfaces
- Deploy workloads using containerization
- Design safety and human in the loop control frameworks
- Design vector database retrieval architectures
- Engineer state memory and long running execution
- Establish evaluation and reliability testing pipelines
- Implement agent communication patterns
- Implement end to end observability for agent execution
- Implement real time context injection
- Integrate and optimize LLM runtime
- Mentor engineers and enforce engineering standards
- Prototype and mature retrieval and reasoning approaches
- Set up cloud native scaling and secure runtime
- Translate agent needs into data schemas SLAs and contracts
Perks/Benefits
- Continuing education program
- Continuous learning
- Family-friendly perks
- Financial wellness programs
- Flexible time off
- Health care coverage
- Referral incentive awards
- Retail discounts
- Retirement planning
Skills/Tech-stack
APIs | Agent Orchestration | Agent systems | Artificial Intelligence | Async systems | CI/CD | Containerization | Context Management | Data Pipelines | Data Processing | Embeddings | Evaluation | Graph Databases | Graph Machine Learning | Inference Optimization | Knowledge graphs | Kubernetes | LLMOps | Language Models | Large Language Models | Latency optimization | Machine Learning | Multi-Agent | Multi-Agent Systems | NoSQL | Observability | Prompt engineering | Python | Real Time | Real-time Data | Real-time Data Processing | Relational databases | Reliability Engineering | Retrieval-Augmented Generation | Tracing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI/ML Engineer | Engineer | Lead | Lead AI/ML Engineer | ML Engineer
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