Software Engineer - Al Agents
Software Engineer - Al Agents
Posted 48 days ago
SENIORITY
Lead
About the role
- Design and develop AI agents and multi-agent systems using Amazon Bedrock Agent frameworks
- Build agent-driven workflows to automate enterprise processes and orchestrate tasks across systems Integrate LLMs, APIs, enterprise data sources, and external services into agent architectures
- Develop RAG-based and conversational AI solutions using modern GenAI frameworks
- Implement scalable, cloud-native applications using microservices and serverless patterns
- Collaborate with architects and domain teams to translate business requirements into AI-driven solutions
- Ensure secure, compliant, and responsible AI implementations (governance, explainability, monitoring) Build reusable frameworks, SDK integrations, and automation pipelines for agent deployment
- Optimize agent performance, latency, and cost across cloud environments
- Contribute to CI/CD pipelines, testing, and production deployment of AI solutions
- 5+ years in software engineering with strong experience in cloud-native development
- Hands-on experience with: Amazon Bedrock / AWS AI services AI agent frameworks (e.g., Autogen, Semantic Kernel, LangChain, Agent SDKs)
- Strong programming expertise in: Python (preferred) or Java
- Experience building: REST APIs, microservices, event-driven architectures
- Familiarity with: LLMs, prompt engineering, RAG architectures
- Multi-agent orchestration and workflow design
- Experience with cloud services: Azure (Functions, Storage, DevOps, Service Bus) OR AWS equivalents Knowledge of CI/CD, DevOps, and containerization (Docker/Kubernetes)
- Experience integrating enterprise systems (APIs, databases, SaaS platforms)
- Experience building multi-agent platforms or autonomous workflows Exposure to AI governance, safety, and responsible AI practices
- Familiarity with agent-to-agent communication and orchestration protocols Experience in building GenAI-enabled user interfaces (React or similar)
- Certifications in AWS AI / Cloud Architect roles
- Strong problem-solving and system design skills
- Ability to translate business use cases into AI-driven architectures
- Collaboration across cross-functional teams (engineering, data, business)
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
