Manager

Dear Candidate

We are hiring for AI Observability Engineer role at Hyderabad location

Overview:

TheAI Observability Engineer (Agentic Frameworks & AI Agent Operations Center Developer)builds and operationalizesagentic AI solutionsusing modern orchestration frameworks and contributes to anAI Agent Operations Centerthat 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.

Interested candidates can share their updated resumes at [email removed]