Neurons Lab

• Own and extend the existing AWS CDK codebase • Operate the production stack: ECS Fargate, ECR, ALB, VPC, CDN, S3, AWS Bedrock • Run the data layer: Postgres, Redis, vector database • Triage and remediate AWS Security Hub / Health Dashboard findings • Integrate SSO and RBAC with the client's identity stack • Keep the RAG stack reliable as additional pilot teams onboard • Own cost tracking and capacity planning for the client's Bedrock + ECS spend

• Support business development through technical expertise and client communication • Enable engineering team growth and high-performance delivery • Contribute to critical AI system architecture and implementation • Achieve 90%+ Customer Satisfaction Index (CSI) on technical delivery • Support team performance improvement and capability development • Deliver scalable AI system architectures that meet FSI compliance requirements • Communicate project progress with customers, explaining business and technology logic clearly • Prepare upsell and account expansion ideas for existing clients • Assist in proposal preparation for new client engagements • Lead AI Engineers on customer projects, create tasks, control performance, and share feedback (not all projects require AI Engineers) • Help the engineering team grow, identify, and support high-performers • Participate in performance reviews and performance improvement plans • Take part in the implementation of critical software pieces • Define how AI transforms business processes; design end-to-end AI-powered experiences • Design scalable AI systems architecture; decide on model selection, deployment patterns, and infrastructure requirements • Bridge business stakeholders and technical teams; translate business needs into technical specifications • Design how multiple AI agents/models work together; define agent-to-agent communication protocols • Establish AI development standards, safety protocols, and compliance frameworks • Design systems for AI safety, bias mitigation, and failure modes; implement monitoring and intervention systems

• Ensure accurate, reliable, and efficient financial operations of the company, while maintaining strong financial control, compliance, and visibility for decision-making. • Own invoicing, billing, payments, and bookkeeping oversight • Prepare monthly P&L, cash flow, and budget tracking • Monitor financial performance vs targets • Manage cash flow forecasting and runway visibility • Oversee banking, payments, and liquidity • Improve and standardize financial processes • Ensure clean data across finance tools (e.g. HubSpot, QuickBooks) • Coordinate with accountants, tax advisors, and auditors • Ensure timely filings and regulatory compliance • Support contract review (pricing, margins, payment terms)

• Generate a predictable new revenue pipeline • Achieve quarterly sales targets • Establish Neurons Lab as the preferred AI partner for Financial Services enterprises • Create a high-velocity sales engine through AI-powered processes and strategic partnerships • Generate 12+ qualified opportunities per quarter (SQLs) • Maintain >40% MQL to SQL conversion rate • Achieve average deal size >$50,000 • Own full sales cycle from first contact to closed-won • Apply MEDDIC methodology for opportunity qualification • Achieve >25% win rate on qualified opportunities (SQLs) • Execute multi-channel campaigns targeting C-suite and VP-level executives • Articulate business value and ROI for AI initiatives • Maintain accurate CRM data and pipeline forecasts

• Develop, adjust, and deliver engaging AI training sessions for diverse audiences with varying levels of expertise across different industries • Communicate complex AI concepts clearly and accessibly to non-technical audiences • Design and facilitate hands-on practical exercises that help learners apply AI tools to real-world business scenarios • Stay current with the latest advancements in AI and incorporate relevant examples and case studies into sessions • Collaborate with the Neurons Lab team to develop and refine training materials and methodologies • Provide ongoing support and guidance to learners throughout the GenAI Enablement program

About the project You'll be joining Neurons Lab as a part-time Python Backend Developer (20 hours/week, ~4 hours per day) to contribute to the development of a cutting-edge healthcare SaaS platform. This is a GenAI-powered project in the healthcare domain where you'll work alongside an AI Architect to build production-ready systems for processing medical documents, classifying medical device incidents, and delivering automated monitoring reports. As a Software Engineer, you'll be responsible for implementing robust APIs, working with graph databases, integrating AI/GenAI pipelines, and ensuring the platform meets strict compliance and auditability requirements for healthcare clients. You'll focus on code quality, testing, and day-to-day delivery while the AI Architect leads the technical vision. Areas of Responsibility Design and implement REST APIs using FastAPI with Pydantic models Develop business logic for medical document processing workflows Design graph data models and write optimized Cypher queries Integrate with external data sources and third-party services Write unit and integration tests using pytest Document APIs and maintain coding standards Skills Required: Python : Advanced proficiency in Python 3.9+, FastAPI, Pydantic, async programming SQL Databases : PostgreSQL experience for relational data storage RESTful API Design : Strong understanding of REST principles, API versioning, error handling Testing : pytest, unit testing, integration testing, mocking frameworks Development Tools : Git, Docker, Linux/UNIX command line Strong Plus: Workflow Orchestration : Airflow experience for pipeline development GenAI/LLM Integration : Experience integrating LLM APIs, RAG systems, or document processing AI Multi-Tenant SaaS : Experience building tenant-isolated architectures Graph Databases : Hands-on experience with Memgraph or Neo4j, Cypher query language React/Frontend : Full-stack capability with React for UI development (nice to have for occasional frontend contributions) Experience 4+ years of hands-on Python backend development 2+ years FastAPI or similar async frameworks (Flask, Django REST) 1+ years of multi-tenant SaaS development Proven track record of building production-ready APIs

• Drive Expansion Revenue: Generate a minimum of 2 expansion opportunities per account per quarter through strategic relationship building and consultative selling • Executive Relationship Management: Build and maintain C-suite relationships, conducting monthly business reviews and positioning as an AI transformation advisor • End-to-End Project Leadership: Own complete project lifecycle ensuring delivery of business outcomes while maintaining >4.0 Customer Satisfaction Index • Risk & Quality Management: Proactively identify and mitigate project risks while implementing measurable success criteria and ROI tracking