Manager

Pepsico; Hyderabad; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Pepsico in Hyderabad is hiring an AI Observability Engineer to build and operate agentic AI solutions, focusing on agent workflows, guardrails, and telemetry. You will work with crew-like frameworks, Python, and cloud architectures to enable safe, observable agent behavior at scale.

The role emphasizes planning tool execution, memory management, RAG techniques, and production-grade observability, with cross-functional collaboration and strong engineering discipline.

Qualifications

• Education in CS/AI/DS or related field required.
• 7+ years of software engineering experience; AI/GenAI exposure preferred.
• Hands-on with agentic frameworks and Python; API/microservices familiarity.
• Experience with cloud and container deployments; observability basics.
• Strong collaboration, debugging, and incident response skills.

Responsibilities

• Develop agent workflows (planning, tool execution, memory, and RAG).
• Integrate guardrails, evaluations, and safety controls.
• Deliver operational capabilities: run management, telemetry, incident triage.
• Build internal platforms like agent registry, dashboards, and run tracking.
• Contribute to AI Agent Operations Center for scalable agent behavior.

Skills

Python programming

Problem solving

Cross-functional collaboration

Agility

Communication

Education

Bachelor's in Computer Science or related field

AI/ML or Data Science background

Tools

Crew.ai

LangChain

Semantic Kernel

AutoGen

Azure/AWS/GCP

Kubernetes/AKS/EKS

OpenTelemetry

Azure AI Search

Vector databases

Job description

Dear Candidate

We are hiring for AI Observability Engineer role at Hyderabad location

Overview:

The AI Observability Engineer (Agentic Frameworks & AI Agent Operations Center Developer) builds and operationalizes agentic AI solutions using modern orchestration frameworks and contributes to an AI Agent Operations Center that enables safe, reliable, and observable agent behavior at scale. This role focuses on developing agent workflows (planning, tool execution, memory, and RAG), integrating guardrails and evaluations, and delivering operational capabilities such as run management, telemetry, and incident triage for production agents.

Experience:

Key Skills/Experience Required Minimum Qualifications:

• Education: Bachelors in Computer Science, AI/ML, Data Science, or a related field.
• Experience: 7+ years years of software engineering experience; 1+ years building and observe AI/ML or GenAI applications preferred
• Required Expertise:
  • Hands-on experience with agentic frameworks (Crew.ai, LangChain, Semantic Kernel, AutoGen, or similar)
  • Proficiency in Python (primary) and familiarity with APIs/microservices patterns
  • Strong experience with RAG patterns (embeddings, vector search, retrieval evaluation, chunking strategies)
  • Experience with cloud environments (Azure/AWS/GCP) and containerized deployments (Kubernetes/AKS/EKS)
  • Familiarity with observability fundamentals (logs/metrics/traces) and production troubleshooting
  • Experience building internal developer platforms or operational consoles (agent registry, run tracking, dashboards)
  • Familiarity with OpenTelemetry, distributed tracg, and telemetry pipelines
  • Experience with Azure AI Search / vector databases, prompt/version management, and evaluation frameworks
  • Knowledge of Responsible AI practices: data handling, safety guardrails, audit trails, and redaction strategies
  • FinOps exposure: token/GPU cost optimization and chargeback/showback reporting
• Technical Proficiency: Agent orchestration design (planning, tool execution, memory, RAG), Strong engineering discipline: testing, versioning, CI/CD, automation, Operational mindset: reliability, debuggability, and incident response support
• Problem-Solving: Ability to translate business challenges into technical solutions.
• Collaboration Skills: Effective at working within cross-functional teams.
• Agility: Flexibility to adapt to changing requirements and new technologies.
• Communication Skills: Capable of explaining complex technical concepts to non-technical stakeholders.