Software /DevOps Engineer (LangGraph Focus)

Project Overview:

Our customer is a multinational corporation in tobacco Industry with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications.

Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As a DevOps engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform.

The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices.

Project is in production for 2+ years, being supported by multiple teams.

Our technical domains are:

- AWS cloud, partially Azure

- SSO, Organizations, Service control policies, access models.

- IAAC: terraform enterprise, terratest, chalice

- Serverless: lambda, step functions, wide range of misc automations, fargate

- System, Application, Network and security architectures

- Orchecstration: k8s (eks)

- SRE activities (logging, tracing, monitoring), OpsGenie, Splunk

- Hashicorp Vault

- Hybrid Networking

Responsibilities:

• Design and implement agent workflows using LangGraph
• Build stateful, multi-step AI pipelines with complex decision logic
• Orchestrate interactions between multiple agents and external systems
• Integrate LLM-based components into production-grade applications
• Ensure scalability and reliability of agent execution flows
• Collaborate with platform teams to integrate agent workflows with AWS infrastructure
• Optimize performance and cost efficiency of agent-based systems
• Contribute to architecture and best practices for agentic systems

Requirements:

• 5+ years of experience as a Software / DevOps / Platform Engineer
• 2+ years of experience building AI agents or agent-based systems (Agentic AI)
• Strong experience with Python (FastAPI, APIs, async workflows)
• Hands-on experience with LangGraph or similar agent orchestration frameworks
• Experience working with LLM-based systems (OpenAI, Anthropic, etc.)
• Strong knowledge of AWS (EKS, Lambda, API Gateway, etc.)
• Experience with Kubernetes and Terraform
• Understanding of stateful workflows and distributed systems
• Experience building and integrating APIs and microservices
• Familiarity with CI/CD processes and cloud-native development

Nice to Have

• Experience with LangChain or similar ecosystems
• Understanding of prompt engineering and LLM evaluation
• Experience with event-driven architectures
• Exposure to agent-based system design patterns