Lead Software Engineer - Machine Learning
Tasks
- Build agent pipelines with state management
- Deploy agentic systems with guardrails
- Design agentic frameworks
- Develop API microservices
- Implement agent reasoning loops
- Implement operational telemetry and evaluation
- Integrate agent tools and memory systems
- Monitor agent drift hallucinations and cost metrics
- Optimize for low latency and high concurrency
- Productionize autonomous AI agents
- Prototype LLM benchmarks and proof of concept
- Scale multi agent workflows
Perks/Benefits
- N/A
Skills/Tech-stack
API Microservices | Agent systems | Artificial Intelligence | Asynchronous Workflows | Distributed Systems | Evaluation | Fine Tuning | LLMOps | Language Models | Large Language Models | Low Latency | Machine Learning | Message Queues | Multi-Agent | Multi-Agent Systems | Prompt engineering | Prompt versioning | RAG | Retrieval-Augmented Generation | Telemetry | Tool-Calling | Vector Databases | Vector Memory
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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