Senior Software Engineer, Agentic AI

Trustible; Virginia (MN); On-site; USD 145,000 - 165,000; Full time

Benefits offered by this job

Equity in an early-stage startup

Health, dental, and vision coverage

Unlimited PTO

Job summary

Trustible is seeking a Senior Software Engineer to build agentic AI capabilities in a backend-heavy role. You’ll design MCP tool integrations, architect data pipelines, and extend Django/Python features while shaping the infrastructure that lets AI agents act reliably within our platform.

You’ll enjoy autonomy, make architecture calls, mentor engineers, and partner with the CTO on the agentic roadmap. Strong backend depth and curiosity about agentic AI are essential.

Qualifications

• 5+ years of professional backend software engineering experience.
• Strong experience with Django or a comparable web framework.
• Experience building data pipelines: ingestion, transformation, and processing at scale.
• Familiarity with LLM tool-calling patterns, MCP, or agent-orchestration concepts.
• Strong systems thinking: failure modes, retries, idempotency, data consistency.
• Track record of navigating ambiguous, fast-moving technical spaces.
• Excellent written communication; document designs clearly.

Responsibilities

• Design and build MCP tool integrations connecting our platform to model providers and external systems.
• Architect data pipelines that ingest, structure, and process AI agent outputs at scale.
• Build and maintain core platform features in Django and Python, alongside agentic work.
• Make sound tradeoffs between build speed and long-term maintainability, and defend those calls.
• Partner with our CTO on technical architecture for the agentic roadmap.
• Set technical standards for agentic development for growing teams.
• Debug and harden production systems to handle agentic reliability.

Skills

Python

Django

Data pipelines

LLM tool-calling

Systems thinking

Written communication

Tools

Async Python (asyncio)

AWS (RDS/Redis)

Job description

The Role

We’re hiring a Senior Software Engineer to build out Trustible’s agentic AI capabilities. This is a backend-heavy engineering role. You’ll spend your time writing MCP tool integrations, building agentic data pipelines, and architecting the infrastructure that lets AI agents act reliably inside our platform. You’ll also work across our broader Django stack when the work calls for it.

The ideal candidate is a strong systems engineer who’s genuinely curious about agentic AI and wants to build the infrastructure behind it, not just talk about it. You bring deep backend skill, and we’ll give you a fast-moving, high-leverage problem to point it at.

Because this is a senior position, you’ll operate with real autonomy. You’ll make architecture calls, shape scope, and mentor other engineers as the team grows.

What You’ll Do

• Design and build MCP tool integrations connecting our platform to model providers and external systems
• Architect data pipelines that ingest, structure, and process AI agent outputs at scale
• Build and maintain core platform features in Django and Python, alongside the agentic work
• Make sound tradeoffs between build speed and long-term maintainability, and be able to defend those calls
• Partner with our CTO on technical architecture for the agentic roadmap
• Set technical standards for agentic development that other engineers can follow as the team grows
• Debug and harden systems in production, since agent behavior surfaces failure modes that traditional software doesn’t

What You Bring

• 5+ years of professional backend software engineering experience, with real depth in Python
• Strong experience with Django or a comparable web framework, and comfort working across a full stack when needed
• Experience building data pipelines: ingestion, transformation, and reliable processing at scale
• Familiarity with LLM tool-calling patterns, MCP, or similar agent-orchestration concepts, with genuine excitement about going deeper here
• Strong systems thinking. You reason naturally about failure modes, retries, idempotency, and data consistency
• A track record of finding good patterns in ambiguous, fast-moving technical spaces
• Excellent written communication. You can document a design decision clearly enough that someone else can pick it up and run

Nice to Have

• Experience with async Python (asyncio, FastAPI, or similar) for streaming or long-running agent workloads
• Prior experience at an early or growth-stage startup
• Exposure to vector databases, embeddings, or RAG architectures
• Experience with AWS infrastructure (RDS, Redis, or similar)

Compensation & Benefits

• Base salary: $145,000 - $165,000, commensurate with experience
• Meaningful equity in an early-stage, venture-backed company
• Health, dental, and vision coverage
• Unlimited PTO