Senior Software Engineer – AgentOps

Pearson; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Pearson seeks a Senior Software Engineer in Bengaluru to design, build, and scale enterprise-grade agentic AI systems within AgentOps. 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.

You will join a team focused on agent orchestration, context engineering, and production-grade AI systems that automate complex business workflows.

Qualifications

• Bachelor’s or master’s in computer science or related field
• 8–10+ years software engineering with strong AI/ML exposure
• Strong Python and backend engineering fundamentals
• Experience with orchestration frameworks (CrewAI, LangGraph, AutoGen, MAF)
• Knowledge of retrieval-augmented generation (RAG), embeddings, and vector search
• Experience deploying cloud-native AI services and observability tooling

Responsibilities

• Design and build multi-agent systems and orchestrated workflows for enterprise use cases
• Develop AI-powered solutions using SOTA LLMs from hyperscalers and enterprise data sources
• Implement RAG pipelines, knowledge retrieval, and context-aware reasoning systems
• AgentOps lifecycle ownership: observability, evaluation frameworks, guardrails
• Platform and integration engineering: APIs, backend services, orchestration layers across Teams and enterprise systems
• Ensure responsible AI practices, security and compliance
• Drive adoption of agentic workflows across business functions

Skills

Python

API design

Backend engineering

SDLC ownership

Orchestration

RAG pipelines

LLMs

Context engineering

Production AI systems

Education

Bachelor's in Computer Science

Master's in Computer Science

Tools

CrewAI

LangGraph

AutoGen

MAF

OpenTelemetry

Azure Monitor

Job description

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.

Why Join AgentOps

• Work on cutting-edge agentic AI systems at enterprise scale
• Help build a symbiotic workforce of humans and AI agents
• Solve real business problems across enterprise
• Be part of shaping next-gen AI engineering practices

Key Responsibilities

1. 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

2. AgentOps Lifecycle Ownership

• Ensure Observability, evaluation frameworks, and guardrails are in place

3. 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)

4. 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

5. 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’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.

About Pearson

Pearson is the world's leading lifelong learning company, helping millions of learners worldwide achieve their educational and professional goals. Headquartered in London, Pearson provides digital learning solutions, educational content, assessments, certifications, English language learning, and workforce-skilling programs. With a strong focus on innovation, technology, and learner success, Pearson empowers individuals and organizations to thrive in an evolving global economy

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

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