AI/LLM Engineer

We’re building AI-powered products, primarily leveraging off-the-shelf LLM APIs, while also partnering with our Applied Science teams to integrate custom models when needed. You’ll own end-to-end development of AI features—from prototyping to production—focused on reliability, accuracy, and scalable delivery.

What you’ll do

Plan and develop applications that include custom AI components (orchestration, evaluation, tooling, and integrations).

Build intelligent agents using LLMs and the MCP framework to enable context-aware automation and decision-making.

Automate internal workflows and operational processes using Python and AWS Lambda.

Develop and improve RAG-based chatbots to increase response accuracy, grounding, and consistency.

Collaborate with Applied Science teams to productionize custom models and connect them with product systems.

Design and maintain multi-agent AI pipelines, including fallback / graceful degradation strategies for reliability.

What we’re looking for

Strong Python Engineering Skills And Experience Delivering Production Systems.

Hands-on experience building with LLM APIs (OpenAI, Anthropic, etc.) and deploying AI features end-to-end.

Experience With LangChain / LangGraph, Including

Prompt Engineering

Token Management

Agent creation and tool-based workflows

Experience building agentic workflows (tool use, routing, memory, safety/guardrails), ideally with MCP.

Solid understanding of RAG concepts (retrieval, chunking, embeddings, re-ranking, evaluation).

Practical AWS experience, especially AWS Lambda, plus serverless architecture patterns.

Backend Engineering Experience Covering

RESTful API design, webhook integration, JWT

Testing with pytest

Observability/monitoring with tools like Sentry

Ability to own analysis pipelines, core business logic, and production-grade reliability.

Comfortable working in fast-moving product environments with high ownership.

Experience doing Git repository analysis (e.g., understanding large codebases, debugging, refactors, code health).

Nice to have

NextJS and TypeScript (frontend components + integration).

AWS CDK for infrastructure-as-code and deployment.

Broader AWS services knowledge for deployment/storage/DB/monitoring (e.g., S3, CloudWatch, IAM, API Gateway, etc.).

Experience with NoSQL databases.

Experience integrating or serving custom models (inference, model endpoints, monitoring).

Familiarity with evaluation frameworks (offline tests, human feedback loops, regression suites).

Strong software engineering fundamentals (testing, CI/CD, observability, performance).

Why This Matters

• First Engineering Hire - Shape the technical foundation of a rapidly growing startup
• Massive Market - Tech debt affects $3 trillion globally with 41% created by AI
• Real Impact - Help companies save millions in development costs
• Cutting-edge Tech - Latest AI/ML technologies solving real business problems
• Growth Opportunity - Lead digital transformation in the modernization market
  
  

Benefits & Compensation

• Fully Remote with flexible working arrangements
• $2,000 - $4,500/month contract based on experience
• Growth Opportunity - Direct path to technical leadership
• Competitive Paid PTO Package - Company-paid time off
• Be an early employee at a growing startup
  
  

To Apply

SEND YOUR RESUME IN ENGLISH, please.

Include

• LinkedIn Profile URL
• GitHub Portfolio - Show us your best work
• Live Project Examples - Applications or tools you've built
• Cover Letter - Why you're excited about CodeOpps
• Any other references highlighting your qualifications
  
  

About OneSeven Tech

Founded by James Sullivan, who built OneSeven Tech - a premier digital product agency serving startups and enterprises. OneSeven has partnered with startup clients who have collectively raised over $100M in VC, with enterprise clients including 2000+ person hospitality groups and NASDAQ companies.

Having experienced firsthand how tech debt can destroy startups, we're on a mission to turn the "invisible tax" of bad code into actionable business intelligence. We work remotely, move fast with 1-week sprints, and focus on elegant solutions to complex problems.