Senior Software Engineer AgentOps

Senior Software Engineer AgentOps We are looking for a Senior Software Engineer to design, build, and scale enterprise-grade agentic AI systems within the AgentOps. This role goes beyond traditional GenAI engineering - focusing on agent orchestration, context engineering, and production-grade AI systems that automate and transform business workflows through Agents. You will work at the intersection of LLMs, software engineering, and platform design, owning solutions end-to-end - from ideation to production - while ensuring reliability, safety, and measurable business impact.

Key Responsibilities

• Agentic System Design Development Design and build multi-agent systems and orchestrated workflows for enterprise use cases Develop AI-powered solutions using existing SOTA LLMs from hyperscalers and enterprise data sources Implement RAG pipelines, knowledge retrieval, and context-aware reasoning systems
• AgentOps Lifecycle Ownership Own full lifecycle: intake design validation deployment monitoring improvement Ensure Observability, evaluation frameworks, and guardrails are in place
• Platform Integration Engineering Integrate AI solutions into Teams, web apps, and enterprise systems Build APIs, backend services, and orchestration layers for scalable deployments Should be well versed with one of the public cloud platform (AWS or Azure or GCP)
• Observability, Reliability Governance Implement monitoring (latency, accuracy, failure modes) and logging pipelines Ensure responsible AI practices , security, and compliance Optimize models and workflows for cost, performance, and scalability
• Innovation Business Impact Partner with product and business teams to identify high-impact agentic opportunities Lead PoCs and rapidly scale successful solutions into production Drive adoption of agentic workflows across business functions

Required Qualifications

• Bachelor/master in computer science
• 8-10years 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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.