Senior Engineer, AI & Backend Systems - Picco

About Picco

At

Picco , we're 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 , you'll work across product, infrastructure, AI systems, and integrations - helping set the foundation for our engineering culture, tools, and long-term technical strategy.

What You'll 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: You've

built or shipped early-stage products , ideally in a startup or founder-like role You're 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