Agentic Platform Engineer

Remote • Posted 30+ days ago • Updated 10 hours ago

Full Time

Remote

Fitment

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Job Details

Skills

LATAM
Software Modernization
Orchestration
Routing
Interfaces
Storage
Healthcare Information Technology
Dashboard
Workflow
Collaboration
Use Cases
SDK
Documentation
Generative Artificial Intelligence (AI)
Microsoft Azure
LangChain
LlamaIndex
Software Engineering
Python
TypeScript
Java
.NET
Docker
Kubernetes
Continuous Integration
GitHub
Continuous Delivery
Database
Vector Databases
Search Engines
Meta-data Management
Testing
Evaluation
Stacks Blockchain
Grafana
Artificial Intelligence
Research and Development
Communication
Debugging
Cloud Computing
Migration
Data Engineering
Apache Kafka

Summary

Agentic Platform Engineer - Orchestration, Memory & Evaluation

Title: Agentic Platform Engineer - Agentic Foundations
Location: Global (India / Cheque Republic /LATAM, remote/hybrid)
Reports to: Agentic Foundations Lead - Principal GenAI Architect

Role Summary

As Agentic Platform Engineer in the Agentic Foundations squad, you will build the core platform capabilities that every agent in Cloud Studio uses.

You'll be responsible for implementing and evolving the orchestration runtime, shared memory and context layer, evaluation and guardrails, and the Agent SDK used by the Cloud Migration, Application Modernization, and Data Transformation squads.

Your work turns the agentic architecture into production-ready, reusable components that make building new agents faster, safer, and more consistent.

Key Responsibilities

Orchestration & Runtime

Implement the agent orchestration engine used by all squads:
- Graph / state machine / DAG of agents and tools
- Routing, retries, timeouts, parallel execution, fallbacks
Build and maintain the internal Agent SDK:
- Base classes and interfaces for agents, tools, and workflows
- Standard patterns for error handling, logging, and configuration
Integrate the agent runtime with cloud-native infrastructure:
- Docker images, Kubernetes/OpenShift/Fargate workloads
- CI/CD pipelines (build, test, deploy) for agent services
Ensure the platform supports multi-LLM and multi-cloud configurations.

Memory, Context & Retrieval

Implement the shared memory layer:
- Integrate vector stores, search, and other storage mechanisms
- Define APIs for agents to read/write context safely and consistently
Build reusable retriever components:
- Chunking, embedding, metadata strategies
- Domain-specific retrievers (code, configs, schemas, documents) in collaboration with squads
Work closely with the Foundations Lead to refine context schemas and best practices.

Evaluation, Guardrails & Observability

Implement evaluation tooling for agents:
- Harnesses to run test sets, capture outputs, compare against expected behaviors
- Metrics and dashboards for quality, reliability, and performance
Implement basic guardrails:
- Output validation, constraints on actions, policy checks, and sanity checks
Build observability hooks:
- Structured logging, traces, metrics (latency, cost, error types, memory hit rates, etc.)
- Dashboards for monitoring agent workflows in dev/test and pilot environments.

Collaboration & Enablement

Partner with Cloud Migration, App Modernization, and Data Modernization engineers to:
- Understand their use cases and friction points
- Evolve the platform to remove friction and improve reuse
Help domain squads adopt and correctly use the Agent SDK, memory, and evaluation tools.
Contribute to internal documentation, examples, and best-practice guides ("how to build an agent in Cloud Studio").

Required Skills & Experience

GenAI & Agentic Development

Hands-on experience integrating LLMs (OpenAI / Azure OpenAI / others) into applications.
Experience with at least one LLM/agent framework (LangChain, LangGraph, LlamaIndex, custom).
Solid understanding of prompt design and context construction.
Familiarity with tool-using agents and basic multi-agent flows (task decomposition, handoff, etc.) is a strong plus.

Platform & Backend Engineering

5-8+ years of software engineering experience, ideally in backend/platform roles.
Strong proficiency in Python and at least one of: TypeScript, Java, Go, or .NET.
Experience building APIs, services, and libraries consumed by other teams.
Solid understanding of cloud-native environments:
- Docker, Kubernetes/OpenShift
- CI/CD pipelines (GitHub Actions, Argo CD, etc.)
Comfortable with distributed systems concepts (latency, retries, backpressure, idempotency).

Memory, Retrieval & Data Handling

Experience working with databases and search/retrieval technologies.
Familiarity with vector databases (e.g., Pinecone, Qdrant, pgvector, Weaviate) or search engines.
Understanding of RAG patterns: chunking, embedding, metadata, retrieval tuning.

Evaluation, Guardrails & Observability

Experience building testing or evaluation harnesses for complex systems (not necessarily only AI).
Familiar with metrics/logging stacks (e.g., Prometheus, Grafana, ELK, OpenTelemetry, etc.).
Understanding of basic safety and validation patterns for AI output (schema checks, constraints, domain rules).

Ways of Working

Enjoys building platforms and tools that other engineers rely on daily.
Comfortable in a fast-paced R&D environment with iteration and ambiguity.
Strong communication skills; can explain platform features clearly and help others adopt them.
Collaborative mindset; happy to jump on calls with domain squads and debug issues end-to-end.

Nice-to-Have

Experience with one of the domain areas (cloud migration, app modernization, data engineering).
Exposure to event-driven architectures and message buses (Kafka, etc.).
Prior work on developer platforms, SDKs, or internal frameworks.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL155990
Position Id: a7df267f42cbeb5ff82aabf375a4b747
Posted 30+ days ago

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Agentic Platform Engineer

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Job Details

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