AI Agent Architect: Build Autonomous Workflows

Sprout Solutions; Mandaluyong; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Sprout Solutions is seeking an AI/ML Engineer to design, build, and deploy intelligent systems and AI agents across products. You will implement agentic workflows, orchestration pipelines, and model integrations using LangChain, LangGraph, and other toolkits.

Expect collaboration with senior engineers to ensure reliable, scalable AI components that align with responsible AI practices. The role requires strong Python, FastAPI experience, and hands-on work with API design, deployment, and MLOps.

Qualifications

• Bachelor's degree preferred in CS/AI/Engineering or related field.
• 2–4 years in AI engineering or related fields, with applied AI/workflow automation experience.
• Hands-on experience building or deploying AI agents, chatbots, or intelligent workflows using LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
• Strong Python proficiency including FastAPI and modern SDLC practices (version control, testing, CI/CD).
• Experience with API design and integration (REST, gRPC, GraphQL).
• Understanding of ML concepts: model fine-tuning, embeddings, evaluation, prompt engineering, LLM ops, RAG.
• Familiarity with vector DBs (Qdrant, Pinecone, Weaviate) and cloud AI services (Azure/AWS/GCP).
• DevOps/MLOps practices, CI/CD, telemetry, environment automation, production deployment.
• Containerization/orchestration (Docker, Kubernetes) knowledge is a plus.
• Strong problem-solving and cross-functional collaboration skills.
• Awareness of Responsible AI principles and governance.

Responsibilities

• Develop and deploy AI agents and workflow-based systems that autonomously reason and decide.
• Build AI workflows using LangChain/LangGraph and similar tools for tool use, memory, and context understanding.
• Integrate agents with internal/external APIs, databases, and third-party tools for intelligent automation.
• Create and maintain API wrappers/connectors for enterprise systems and external services.
• Collaborate to modernize APIs for AI interoperability, observability, and security.
• Assist in implementing Model Context Protocol (MCP) or similar standards for agent-system interaction.
• Fine-tune/adapt ML/foundation models for use cases and deploy within the pipeline.
• Support AI-centric DevOps/MLOps and CI/CD for model services and telemetry.
• Monitor and improve deployed AI systems with feedback loops and observability metrics.
• Follow Responsible AI guidelines and maintain production-grade codebases.

Skills

Python

LangChain

LangGraph

CI/CD

API design

LLM operations

RAG concepts

Vector databases

Docker

Kubernetes

Azure

AWS

GCP

Git

APIs (REST/GRPC/GraphQL)

Education

Bachelor's degree

Tools

Docker

Kubernetes

Azure

AWS

GCP

Git

Job description

Sprout Solutions is seeking an AI/ML Engineer to design, build, and deploy intelligent systems and AI agents across products. You will implement agentic workflows, orchestration pipelines, and model integrations using LangChain, LangGraph, and other toolkits.

Expect collaboration with senior engineers to ensure reliable, scalable AI components that align with responsible AI practices. The role requires strong Python, FastAPI experience, and hands-on work with API design, deployment, and MLOps.