About the role
- Build & maintain our core LangGraph agent system (50% of time)—your playground for complex architectures.
- Prompt engineering: Write, optimize, and A/B test prompts (25%)—craft magic with few-shot examples and chain-of-thought.
- Agent evaluation: Develop test frameworks and track quality metrics (15%)—ensure reliability at scale.
- Innovation: Benchmark models, experiment with custom fine-tuning (10%)—push boundaries with cutting-edge tech.
- Train custom models to slash AI costs by 40-50%.
- Develop multimodal agents, memory systems, and multi-agent collaboration.
- Lead initiatives in our AI Lab and influence product direction.
Requirements
- AI-obsessed: You live and breathe it—following AI Twitter, building side projects, testing new models instantly.
- Prompting is your passion: You know great AI is 50% architecture, 50% prompts. Chain-of-thought and few-shot thrill you.
- LangChain/LangGraph pro: Production experience with LCEL, custom tools, agent flows (share your GitHub).
- Python mastery: Async/await, FastAPI, Docker, Git, testing—all second nature.
- Builder mindset: Ship fast, iterate relentlessly, view legacy code as opportunity.
- Ready in 2 weeks.
- Flexible working hours
- Professional development opportunities
- Strong support in your professional and personal development
- Competitive salary packages
- Bonuses and additional perks that recognize and reward your performance
- Innovative environment
- Career growth
- Lifelong learning
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
prompt engineeringA/B testingmodel benchmarkingcustom fine-tuningmultimodal agentsmemory systemsmulti-agent collaborationPythonFastAPIDocker
Soft skills
builder mindsetinnovationleadershipreliabilityiterationquality metricscomplex architecturepassion for AItesting new modelsinfluence product direction