The ad says“5–8 years of experience in backend engineering using Java, Python, or Go”
The ad says“5–8 years of experience in backend engineering using Java, Python, or Go”
The ad says“5–8 years of experience in backend engineering using Java, Python, or Go”
Values
The ad says“Hands on experience with agentic frameworks (e.g., AutoGen, CrewAI, or custom orchestration layers), RAG, MCP, fine tuning models and prompt engineering”
The ad says“Expertise in distributed systems, asynchronous architectures (Kafka), and large-scale data processing (Spark/Flink)”
The ad says“Expertise in distributed systems, asynchronous architectures (Kafka), and large-scale data processing (Spark/Flink)”
The ad says“Expertise in distributed systems, asynchronous architectures (Kafka), and large-scale data processing (Spark/Flink)”
The ad says“Expertise in distributed systems, asynchronous architectures (Kafka), and large-scale data processing (Spark/Flink)”
The ad says“Expertise in distributed systems, asynchronous architectures (Kafka), and large-scale data processing (Spark/Flink)”
The ad says“Agentic observability using Langfuse, Evals frameworks for Testing/Resilience”
The ad says“Hands on experience with agentic frameworks (e.g., AutoGen, CrewAI, or custom orchestration layers), RAG, MCP, fine tuning models and prompt engineering”
The ad says“Vector DB Optimization: Deep experience in indexing strategies (HNSW vs IVF) and performance tuning for high-concurrency vector databases at scale”
The ad says“Vector DB Optimization: Deep experience in indexing strategies (HNSW vs IVF) and performance tuning for high-concurrency vector databases at scale”
The ad says“Agentic observability using Langfuse, Evals frameworks for Testing/Resilience”
The ad says“Hands on experience with agentic frameworks (e.g., AutoGen, CrewAI, or custom orchestration layers), RAG, MCP, fine tuning models and prompt engineering”
The ad says“Hands on experience with agentic frameworks (e.g., AutoGen, CrewAI, or custom orchestration layers), RAG, MCP, fine tuning models and prompt engineering”
The ad says“Hands on experience with agentic frameworks (e.g., AutoGen, CrewAI, or custom orchestration layers), RAG, MCP, fine tuning models and prompt engineering”
The ad says“AI Ops: Experience with LLM deployment optimization (e.g., vLLM, TensorRT-LLM) or managing proprietary model inference endpoints”
The ad says“Advanced IaC: Expertise in building reusable Terraform modules and managing complex multi-region cloud deployments”
The ad says“AI Ops: Experience with LLM deployment optimization (e.g., vLLM, TensorRT-LLM) or managing proprietary model inference endpoints”
As a Senior Software Engineer, you will architect high-scale distributed systems that process massive data volumes to fuel our Agentic AI ecosystem
You will lead the development of autonomous agents that don’t just provide analytics, but take action—driving complex automation and insights for our enterprise customers
Asynchronous Systems: Architect and optimize high-throughput, event-driven systems using Apache Kafka to handle real-time data flows
Data Processing at Scale: Build and maintain large-scale data pipelines using Apache Spark or Flink to provide the high-volume analytics that power our AI
Agentic Systems at Scale: Design sophisticated AI Agents capable of autonomous planning, memory management, and high-reliability tool-use across distributed environments
Infrastructure & Orchestration: Lead the architectural design of containerized services on Kubernetes, ensuring high availability and scalability across Cloud Infrastructure (AWS/Azure/GCP)
Benefits
Health and Dependent Savings Accounts
Life and Disability Programs
Paid Parental Leave
Voluntary Benefit Programs
Company Sponsored Wellness Program
Wellness Reimbursement Program
Retirement Savings
Equity Opportunities
Paid time off and Paid Holidays
Employee Incentive Program
Medical, Dental, Vision Coverage
Preferred experience
Hands on experience with agentic frameworks (e.g., AutoGen, CrewAI, or custom orchestration layers), RAG, MCP, fine tuning models and prompt engineering
Expertise in distributed systems, asynchronous architectures (Kafka), and large-scale data processing (Spark/Flink)
Agentic observability using Langfuse, Evals frameworks for Testing/Resilience
5–8 years of experience in backend engineering using Java, Python, or Go
Advanced IaC: Expertise in building reusable Terraform modules and managing complex multi-region cloud deployments
Vector DB Optimization: Deep experience in indexing strategies (HNSW vs IVF) and performance tuning for high-concurrency vector databases at scale
AI Ops: Experience with LLM deployment optimization (e.g., vLLM, TensorRT-LLM) or managing proprietary model inference endpoints
