Senior Engineer; Langchain

Our work starts with the real artifacts of engineering: architecture notes, pull requests, runbooks, dashboards, incidents, and the constraints teams face every day. We make that context visible, then help turn it into systems that are clearer, stronger, and easier to operate.

We work from artifacts

Architecture notes, pull requests, runbooks, dashboards, incidents, and the actual constraints your team works inside.

We make context visible

The block gives the page more texture without making it feel like a stock-photo agency site.

Embark on a rewarding journey with us. Find opportunities to grow, learn and make a lasting impact.

Join a team that embraces forward-thinking ideas, fosters innovation, and cultivates an environment where your creativity can flourish.

We think deeply about the real-world impact of every solution on teams, customers, and stakeholders.

Our work is grounded in best practices, thoughtful design, and sustainable engineering.

We’re invested in outcomes that endure, not quick fixes that falter.

The interview path should feel like the work: clear communication, systems thinking, technical judgment, and the ability to collaborate without ego.

01

A lightweight conversation about your background, what you want next, and the kinds of platform problems you like solving.

02

Walk through a real platform scenario and talk about tradeoffs, sequencing, observability, reliability, and team enablement.

03

Working session

Pair on a small practical exercise or artifact: architecture notes, implementation plan, review, or operational improvement.

04

Discuss role shape, expectations, compensation, client work, team norms, and how you do your best engineering work.

What working here should feel like

The benefits are designed around focus, trust, craft, and the reality that deep engineering work needs room.

Room for architecture, implementation, writing, review, and careful technical judgment.

A team that values context, humility, strong opinions, and better systems.

Work directly on the platform constraints that are slowing real engineering teams down.

Craft and learning

Kubernetes, cloud, modernization, AI workflows, and delivery systems in production contexts.

We care about secrets, access, change safety, auditability, and operational guardrails.

Modern tools

Use automation and AI carefully, with bounded context and human approval.

No mystery process, no puzzle interviews.

Be a part of a winning culture that fosters collaboration, creativity, and success in every career path

Full time

Hybrid

Remote | Contract-to-Hire

We are looking for a mid-to-senior level Lang Chain Engineer to join a growing AI engineering team building production-grade applications powered by large language models (LLMs).

In this role, you’ll work closely with engineers and technical stakeholders to design, develop, and optimize AI-powered applications and agentic workflows. The ideal candidate has strong Python experience, hands‑on experience with Lang Chain or similar LLM frameworks, and experience deploying applications in a major cloud environment.

This is an excellent opportunity for an engineer who enjoys working at the intersection of software engineering, AI, and emerging LLM technologies and wants to have​a meaningful impact on a growing team.

Design and develop production‑grade AI/LLM applications using Lang Chain and related frameworks

Build and integrate LLM‑powered workflows, agents, and applications

Develop scalable backend services and APIs using Python

Integrate LLMs with external…