Senior Software Engineer – AgentOps

2. AgentOps Lifecycle Ownership

3. Platform & Integration Engineering

4. Observability, Reliability & Governance

5. Innovation & Business Impact

Required Qualifications

• Bachelor’s/master’s in computer science
• 8–10+ years of software engineering experience, with strong AI/ML exposure
• Strong technical foundation in Python and modern backend engineering patterns, with experience building APIs, services, and application components
• Experience working with orchestration frameworks such as CrewAI, LangGraph, AutoGen, MAF or equivalent
• Strong working knowledge of retrieval-augmented generation (RAG), embeddings, vector search, and grounding patterns
• Experience building and deploying cloud-native AI services
• Familiarity with observability and operational tooling such as Application Insights, OpenTelemetry, Azure Monitor, or New Relic, or equivalent monitoring platforms
• Good collaboration and communication skills, with the ability to work effectively with engineers, architects, product owners, and platform teams
• Strong ownership mindset across the SDLC, including design, build, testing, deployment, support, and continuous improvement
• Experience building production Agentic systems (not just prototypes)
• Exposure to Model Context Protocol (MCP), agent-to-agent (A2A) interaction patterns, or similar approaches to context exchange and distributed agent communication.

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