Forward Deployed Engineer (FDE)

Seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native solutions.

AI Agent Engineering Cloud-Native Development

- Design and implement AI agents: - Develop scalable services using:

- Retrieval (RAG) - Microservices architecture

- Orchestration workflows - Containers (Docker, Kubernetes)

- Tool/function invocation - Serverless and event-driven patterns

- Policy-based routing - Implement CI/CD and infrastructure as code (Terraform, Helm)

- Build evaluation frameworks for accuracy, latency, and

reliability

- Ensure production readiness, logging, monitoring, and fault

tolerance

- Implement observability and monitoring for agent

lifecycle

AI Platform Integration

- Integrate with AI providers (OpenAI, Anthropic, Google

Vertex, open-source models)

- Build abstraction layers for multi-model and multi-

provider architectures

- Optimize model usage for performance, cost, and

latency

Application Development

- Build and deploy AI-powered applications aligned to business

workflows

- Integrate AI systems into existing enterprise platforms and APIs

- Develop backend services and APIs supporting agent workflows

Testing & Performance

- 100% hands-on engineering role (no people

management)

- Measure system performance (latency, throughput,

accuracy, cost)

- Debug and optimize production systems

Scope & Expectations

- 100% hands-on engineering role (no people management)

- Deliver production-quality code and deployments

- Work within existing architecture and engineering standards

- Collaborate with client and internal engineering teams as needed

- Participate in technical design discussions (implementation-

focused)

Required

- 8-10 years of software engineering experience

- Strong experience with cloud-native systems (APIs,

microservices, containers, serverless)

- Building and deploying AI/LLM-based systems in

production (agents, RAG, orchestration)

- Proficiency in Python, Java, or similar backend

languages

- CI/CD pipelines, infrastructure as code, monitoring and

observability tools

- Agent frameworks: LangGraph, AutoGen, CrewAI

- Multi-agent or distributed AI system design

- Enterprise-scale system integration

- Optimizing AI workloads for cost and performance

- Hands-on with AI platforms (OpenAI, Claude, Vertex

AI, or similar)

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Salary : $78