Senior Backend Developer with Agentic experience
Jobs via Dice · United States
- Hybrid
- Full-time
- $140,000 / year
- United States
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Job highlights
- Build AI agent deployment tooling on AWS.
- Develop CLI, configuration, and governance layers.
- Integrate with AWS Bedrock AgentCore and services.
- Focus on developer experience and platform infrastructure.
- Requires expert Python and AWS, plus agent framework experience.
About the role
Senior Backend Developer with Agentic Experience
Dice is the leading career destination for tech experts at every stage of their careers. Our client, HMG America, is seeking the following. Apply via Dice today!
HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Senior Backend Developer with Agentic experience in Remote.
About The Role
We're building internal developer tooling and platform infrastructure for deploying, configuring, and governing AI agents on AWS. You'll own the engine behind the deployment tooling and CLI, the configuration and validation layer, the integration with AWS Bedrock AgentCore, and the policy and governance controls that keep deployed agents consistent and compliant. This is platform and developer-tools work - closer in spirit to building Terraform or a Kubernetes operator than to building an application.
What You'll Do
- Develop MCP servers and LLM Agent blueprints.
- Design and build the deployment tooling and CLI.
- Design the configuration schema and validation layer, covering both structural checks (JSON Schema / Pydantic) and semantic checks against available models, tools, and accounts.
- Integrate deeply with AWS Bedrock AgentCore (Runtime, Memory, Gateway, Identity, Observability) and the surrounding AWS surface (IAM, CloudFormation, boto3).
- Implement governance and policy-as-code so guardrails and access controls are enforced consistently and automatically across deployed agents.
- Build evaluation and observability into the deployment workflow - eval gates in CI and online, plus tracing and metrics.
- Package and distribute the platform as a versioned, installable tool (PyPI / pipx), and maintain project scaffolding and template repositories with their CI workflows.
- Obsess over developer experience: clear errors, a fast local inner loop, sane defaults, and a path that gets engineers to a deployed, governed agent with minimal friction.
Required Qualifications
- Expert-level Python, Fast API, strong typing, Pydantic, packaging (pyproject, building distributable CLIs), and rigorous testing (pytest, deterministic unit tests for core logic).
- Proven experience building developer-facing tools - a CLI (Typer/Click), SDK, framework, or internal platform that other engineers depended on day to day.
- Solid AWS depth: IAM, and boto3 in production.
- Hands-on with the LLM / agent ecosystem: at least one agent framework (Strands, LangGraph, LangChain, or similar) and the concepts behind tool use and evaluation.
- Experience designing schemas and validation for config or APIs (JSON Schema, OpenAPI, or equivalent), and building CI/CD pipelines.
- Comfort working against fast-moving, preview-stage dependencies - pinning versions, isolating churn, and building abstractions that survive upstream change.
- Hands-on Amazon Bedrock AgentCore experience (Runtime, Gateway, Memory, Identity).
- Policy-as-code: Cedar, OPA/Rego, or similar authorization engines.
- Model Context Protocol (MCP) server or client implementation.
- Compiler, transpiler, or code-generation experience - anything that turns one representation into another deterministically.
- Observability tooling: OpenTelemetry instrumentation, distributed tracing.
- LLM evaluation frameworks and methodology.
- Open-source contributions to developer tooling or platform projects.
Key skills/competency
- Python
- Fast API
- AWS
- Agentic Experience
- Developer Tooling
- CLI Development
- Schema Design
- CI/CD
- Policy as Code
- LLM Frameworks
Skills & topics
- Senior Backend Developer
- Python
- FastAPI
- AWS
- Agentic Experience
- LLM
- AI Agents
- Developer Tooling
- CLI
- Platform Engineering
- AWS Bedrock
- Remote
How to get hired
- Tailor your resume: Highlight Python, Fast API, AWS, Agentic experience, and developer tooling.
- Craft a strong cover letter: Emphasize your experience building internal tools and your understanding of AI agent deployment.
- Prepare for technical interviews: Review Python best practices, AWS services (IAM, Bedrock), schema design, and CI/CD concepts.
- Showcase your portfolio: Provide examples of CLIs, SDKs, or platforms you've built, ideally with open-source contributions.
- Demonstrate AWS Bedrock knowledge: Be ready to discuss your hands-on experience with AgentCore components.
Technical preparation
Master Python, Fast API, Pydantic, and packaging.,Deepen knowledge of AWS services (IAM, Bedrock).,Practice building CLIs and developer tools.,Study agent frameworks and policy-as-code.
Behavioral questions
Describe a complex developer tool you built.,How do you handle fast-moving dependencies?,Explain your approach to agent governance.,How do you prioritize developer experience?
Frequently asked questions
- What is the primary focus of the Senior Backend Developer role at HMG America?
- The primary focus is on building internal developer tooling and platform infrastructure for deploying, configuring, and governing AI agents on AWS, emphasizing developer experience and robust platform engineering.
- What specific AWS services will I be working with as a Senior Backend Developer with Agentic Experience?
- You will work deeply with AWS Bedrock AgentCore (Runtime, Memory, Gateway, Identity, Observability) and surrounding AWS services such as IAM, CloudFormation, and boto3.
- What programming languages and frameworks are essential for this Senior Backend Developer position?
- Expert-level Python, Fast API, strong typing, Pydantic, and familiarity with LLM/agent frameworks like Strands, LangGraph, or LangChain are essential.
- How important is experience with developer-facing tools for this Senior Backend Developer role?
- Proven experience building developer-facing tools such as CLIs, SDKs, frameworks, or internal platforms is a critical requirement for this role.
- What does HMG America mean by 'Agentic Experience' for this Senior Backend Developer role?
- Agentic Experience refers to hands-on involvement with the LLM/agent ecosystem, including using agent frameworks, understanding tool use, evaluation, and specifically working with AWS Bedrock AgentCore.
- Is this Senior Backend Developer role fully remote, and are there location preferences?
- Yes, the role is fully remote. However, candidates based in the Tri-State Area (NY/NJ/CT) will be prioritized.
- What kind of governance and policy implementation is expected for the Senior Backend Developer?
- You will implement governance and policy-as-code using tools like Cedar or OPA/Rego to ensure consistent and automatic enforcement of guardrails and access controls for deployed agents.
- What level of Python expertise is required for the Senior Backend Developer role?
- Expert-level Python proficiency is required, including Fast API, strong typing, Pydantic, packaging, and rigorous testing methodologies like pytest.