Software Engineer, AI Agent Platform | JobSetuu

Description

Job Overview

• Source: Jobicy

Job Description

Company Description

Redzone is the #1 Connected Workforce Solution for manufacturers big and small. We work to improve efficiency in plants, provide coaching for best practices, and enable the front-line worker to improve the quality of their work and their work life by providing them with tools, processes, and collaboration tools to keep their manufacturing lines running smoothly and efficiently. 

At Redzone we focus on the customer experience, listening to the customer, and providing solutions that create great outcomes. We are a combination of great leadership, years of manufacturing experience, and an incredible technology team that all work together to create great products. 

This role is fully remote.

Job Description

ChampionAI is QAD | Redzone agentic platform, purpose-built for manufacturing and utilized by the various business units within QAD | Redzone. This engineer joins the core platform team with three main areas of focus: building new capabilities into the platform, helping Applied AI teams at partner business units build and ship Champions correctly, and directly building Champion agents for business-unit use cases when needed.
You will work in the same codebase as the Applied AI engineers you support, which keeps the enablement work
practical and the platform work focused on real problems.

Key Responsibilities
Platform Development

• Build and ship features across the Champion platform repositories
•  Improve developer experience: tooling, scaffolding, internal documentation, and onboarding paths for Applied AI engineers.
• Maintain and evolve the MCP tool server and agent infrastructure that BU teams depend on.
• Identify and address friction points that slow down Champion development or deployment

Applied AI Enablement

• Support BU Applied AI engineers in building, deploying, and operating Champions correctly
• Review agent implementations for prompt quality, scope enforcement, auth configuration, and deployment setup
• Contribute to internal engineering guides and skill documentation
• Pair with BU engineers on first K8S manifest creation, database registration, and LaunchDarkly prompt rollout

Agent Development

• Design and build Champion agents for BU use-cases when the platform team is directly engaged
• Write and iterate on system prompts, tool bindings, and context injection for production agents
• Register agents in Champion Server and configure LaunchDarkly-gated prompt rollout across environments

Engineering Practices
We follow trunk-based development with PR-gated merges to main. Engineers are expected to:

• Write tests before implementing. TDD is the expectation, not a nice-to-have.
• Keep PRs small and focused; use feature flags to ship partial work incrementally
• Follow conventional commit format (feat:, fix:, etc.)
• Be mindful of API and schema backward-compatibility; prefer additive changes over breaking ones
• Review your own diff before requesting review

Qualifications

Core Requirements

• Python: Proficient in async Python, Pydantic, type hints, and FastAPI. Experience with the Strands agent SDK or a comparable agentic framework. Testing is non-optional: candidates should be comfortable with pytest, pytest- asyncio, and DeepEval for agent-specific evaluation. We test agent behavior, not just unit logic.
• Prompt Engineering: Able to write and iterate on production system prompts: XML-structured, scope-enforced, with tool descriptions that guide LLM delegation reliably.
• Model Context Protocol (MCP): Solid understanding of MCP and hands-on experience building or consuming MCP servers. Familiarity with Agent-to-Agent (A2A) protocol is a strong plus.
• Agent Patterns: Familiar with multi-agent architectures and orchestration patterns beyond basic ReAct: supervisor/subagent delegation, parallel tool use, handoffs, and context management across agent boundaries.
• Agent Evals: Able to design and run evaluation suites for agent behavior: correctness checks, scope enforcement tests, regression coverage, and systematic prompt iteration based on eval results.
• Docker: Comfortable authoring Dockerfiles, multi-stage builds, and local dev environments via docker-compose / make.
• PostgreSQL: Comfortable with templated INSERT/SELECT, foreign key relationships, and reading an ER diagram.
• Git / Semantic Versioning: Follows conventional commit format (feat:, fix:) and a PR-based trunk workflow.

Nice to Have

• Kubernetes: Working knowledge of Deployments, Services, ConfigMaps, and ServiceAccounts. Able to read and adapt K8s manifests and use kubectl for basic troubleshooting.
• AWS: Working knowledge of ECR, EKS, IAM, and Bedrock (inference layer).
• OAuth2 / OIDC: Conceptual understanding of Authorization Code Flow with PKCE, token exchange, and agent auth delegation.
• Terraform: Beginner-level familiarity; able to make targeted changes to existing modules and interpret a plan diff.
• LaunchDarkly: Experience managing feature flags or AI config overrides for environment-gated rollout.
• Document Intelligence / OCR: AWS Textract or comparable pipeline experience for use cases involving structured document extraction.

AI-Native Development

• We run an AI-native SDLC. AI-assisted tools (Claude Code, Cursor) are part of the standard engineering workflow at every stage: planning, implementation, review, and documentation. This is not optional or supplemental; it is how we work. Candidates should be comfortable with AI-assisted development and willing to invest in getting good at it.
• Use Claude Code and Cursor actively across planning, implementation, and code review
• Know when AI output is wrong and push back on it.
• Help drive adoption across the team by sharing what works

What This Role Is Not
This is not an ML research or data science role. The platform team owns cluster networking, observability pipelines, auth configuration, and LLM routing, so deep expertise in those areas is not required. The job is building reliable
software on top of that infrastructure and helping others do the same.

Additional Information

About QAD:

QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. 

#LI-Remote

Expert Career Tips for Software Engineer, AI Agent Platform Roles

To succeed in a competitive market as a Software Engineer, AI Agent Platform, you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Software Engineer, AI Agent Platform requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

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The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

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Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

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