The Role
Build and operate AI agents, copilots, workflow tools, extraction pipelines, and LLM-powered products. Own work end to end from client discovery and design through coding, deployment, testing, and production support. Participate in demos and client conversations, write proposals and design documents, and independently deliver within an async team. Apply sound software engineering, PostgreSQL expertise, AI security practices, and human oversight to ensure reliable, secure outcomes.
Summary Generated by Built In
Must-Have Skills:
- Strong software engineering fundamentals in at least one stack — clean APIs, sensible data models, tests, real debugging. Depth in one stack beats familiarity with five.
- Learning agility — a provable track record of entering an unfamiliar domain or codebase and shipping within weeks. This can substitute for most stack requirements.
- AI-native development with judgment — uses Claude Code or equivalent agentic tools as a primary way of building. Should be able to drive one live in the interview and explain where they took the keyboard back.
- High agency and builder's bias — takes an ambiguous ask and drives it to a shipped, measured fix.
- PostgreSQL competence — real queries, indexes, transactions, and the instinct that a wrong query is a customer-visible bug.
- Clear communication — can explain trade-offs to non-engineers without jargon, writes clearly, and is comfortable with real client contact.
- Working understanding of LLM agents — should be able to speak to what they've built with an LLM API and how it failed on them. Production-level depth is not required; we teach that.
Good-to-Have Skills:
Our environment (depth in some is a plus; candidate ramps on the rest):
- Python 3.11 (FastAPI, asyncio, pydantic)
- Anthropic and OpenAI SDKs
- Next.js / React / TypeScript at working proficiency
- Redis, Typesense
- AWS (EC2/ALB, RDS, SQS, SES)
- GitHub Actions, Datadog
Genuine bonus:
- Production LLM/agent work (evals, guardrails, multi-agent, MCP)
- Prior forward-deployed or consulting-style client work
- Airflow or data pipelines
- Browser automation, OCR/vision
Roles & Responsibilities:
- Build and operate AI agents and LLM-powered products — copilots, workflow agents, extraction pipelines, internal tools — and maintain/evolve existing ones.
- Own problems end to end: from the client conversation through design, code, deploy, and production support.
- Work AI-first, with humans owning judgment and outcomes — validate what the tools produce and own every line that ships.
- Take part in client and partner conversations: discovery, live demos of work in progress, pilot support.
- Write short proposals and design docs; decisions move through documents and PRs, not meeting chains.
- Run a lane end to end within a small, async-first team.
- Write tests where they protect what matters — agent behaviour and money paths. No coverage theatre.
- Apply AI security basics: prompt injection via untrusted content, least-privilege tool permissions, secrets hygiene, verifying anything inbound before acting on it.
Skills Required
- Strong software engineering fundamentals in at least one technology stack, including clean APIs, sensible data models, testing, and debugging.
- Proven ability to enter an unfamiliar domain or codebase and ship within weeks.
- Experience using Claude Code or equivalent agentic development tools as a primary development method.
- High agency and ability to turn ambiguous requests into shipped, measured fixes.
- PostgreSQL competence, including queries, indexes, and transactions.
- Clear written and verbal communication, including explaining trade-offs to non-engineers and participating in client conversations.
- Working understanding of LLM agents, including experience building with an LLM API and analyzing failures.
- Python 3.11, FastAPI, asyncio, and Pydantic experience.
- Anthropic and OpenAI SDK experience.
- Next.js, React, and TypeScript proficiency.
- Redis and Typesense experience.
- AWS experience with EC2, ALB, RDS, SQS, and SES.
- GitHub Actions and Datadog experience.
- Production LLM or agent experience, including evaluations, guardrails, multi-agent systems, or MCP.
- Forward-deployed or consulting-style client experience.
- Airflow or data pipeline experience.
- Browser automation or OCR/vision experience.
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Coditude stands out as a rapidly growing force in the digital realm, offering straightforward, impactful tech capabilities. Our team, both seasoned and savvy, is the perfect ally to thrive in the digital age. We excel in Product Development, SaaS Solutions, Enterprise Mobile Applications, AI, Cloud Solutions, Browser Extension Development, and Digital Commerce Solutions, not to mention our prowess in Infrastructure Modernization and Management
