About Picco
At Picco were building AI-powered teammates not bots. Our intelligent systems automate GTM business workflows across Sales Marketing Contracts & Legal Support taking on repetitive manual tasks so teams can focus on what truly matters.
Our platform orchestrates tasks across tools like Salesforce Slack Notion Gong Transcripts Notetakers HubSpot and other tools like Service Desk. serving as the connective tissue across the enterprise stack. Backed by top-tier investors and led by founders and engineers from leading tech companies Picco is tackling one of the most important challenges in enterprise software: end-to-end context-aware automation powered by AI.
As one of our first engineering hires youll work across product infrastructure AI systems and integrations helping set the foundation for our engineering culture tools and long-term technical strategy.
What Youll Do
- Design and build scalable reliable backend services and APIs for AI-powered enterprise workflows
- Develop AI-driven applications using LLMs embeddings and traditional ML models
- Build data pipelines for real-time inference evaluation and model lifecycle management
- Collaborate cross-functionally with AI/ML engineers frontend developers and product managers
- Mentor peers and help foster a culture of engineering excellence
- Lead improvements in CI/CD observability security and testing
- Diagnose and resolve issues across the AI backend stack
- Stay on top of trends in AI infrastructure SaaS architecture and scalable systems
- Influence and contribute to the technical roadmap and strategic direction of the platform
Must-Haves
- 7 years of experience in backend development using Python TypeScript or Go
- Proven experience fine-tuning foundational LLMs and deploying models (e.g. LLMs embeddings NLP CV) into production
- Experience with tools like LangChain LangGraph vector databases (e.g. Pinecone Weaviate) and model gateways
- Experience with RAG pipelines semantic search or advanced LLM orchestration
- Strong understanding of microservices RESTful APIs and event-driven systems
- Proficiency with AI/ML frameworks such as PyTorch TensorFlow Hugging Face or scikit-learn
- Experience with SQL and NoSQL databases and building scalable data architectures
- Solid experience with AWS services (e.g. S3 Lambda ECS Step Functions EventBridge CloudWatch and other cloud services)
- Excellent communication collaboration and problem-solving skills
Nice-to-Haves
- Experience building SaaS platforms especially multi-tenant systems and third-party integrations
- Familiarity with MLOps practices including model monitoring versioning and deployment pipelines
- Hands-on experience with Docker and Kubernetes
- Contributions to open-source projects in AI/ML or backend infrastructure
You Might Be a Great Fit If:
- Youve built or shipped early-stage products ideally in a startup or founder-like role
- Youre excited by greenfield challenges rapid iteration and owning projects end-to-end
- You enjoy wearing multiple hats from system design to debugging user issues
- You care about building something meaningful with a small mission-driven team
- You want to help shape not just the codebase but the company itself
Why Join Picco
- Help define a new category of enterprise software AI-powered teammates
- Join a fast-moving high-caliber team backed by top-tier investors and operators
- Build at the frontier of agentic AI LLM orchestration and enterprise workflow automation
- Collaborate with leaders and engineers from Amazon Microsoft OpenAI and more
- Competitive salary generous early-stage equity grant real ownership from day one
Required Experience:
Senior IC