ProNexus

• Build and ship backend features end-to-end (API → DB → integrations). • Implement and improve FastAPI endpoints, background jobs, and core services. • Work with Postgres (Supabase): schema changes, queries, performance, data integrity. • Integrate external systems (e.g., enrichment providers, outreach tooling, internal workflows). • Help us build one-off AI agents that automate internal + customer workflows (e.g., sourcing support, enrichment, summarization, extraction, classification, routing). • Write and iterate on prompts, few-shot examples, and structured outputs (JSON schemas) to make agent behavior consistent. • Improve agent quality with lightweight evals: small test sets, edge cases, regression checks, and prompt/version tracking. • Add tests, logging, and basic observability so we can move fast without breaking things.

• Own features from technical design through implementation, rollout, and iteration • Design, build, and maintain backend services and APIs powering enterprise-facing applications • Deploy and operate production systems in cloud environments, with a focus on reliability and scale • Contribute frontend work where needed to ship complete, user-facing features • Model and manage application data with clean, well-structured design • Partner closely with leadership and engineering to translate product goals into pragmatic solutions • Help shape technical direction in a category that's still being defined

• Get on the phone and make things happen • Cold calling and getting in contact with candidates • Spend most of your time reaching out and building relationships • Move people toward placements • Earn $5,000 for every successful placement with no cap

• Build and launch customer-facing AI product features • Develop modern web applications using React and TypeScript • Build backend services and APIs using Python and TypeScript • Design relational data models using PostgreSQL • Integrate large language models, third-party APIs, and customer data sources • Deploy and operate production services using AWS • Improve application performance, reliability, observability, and security • Work closely with founders, product leaders, designers, and customers • Own projects from initial problem definition through production • Help establish engineering standards as the team grows

• Design, build, and maintain production backend services using Python • Develop APIs that support customer-facing applications and AI workflows • Design scalable relational data models using PostgreSQL • Build integrations with model providers, customer systems, and third-party platforms • Develop systems for asynchronous jobs, event processing, and long-running AI workflows • Deploy and operate services using AWS • Debug production issues across application, data, model, and infrastructure layers • Help shape backend architecture and engineering practices as the company grows

• Source and place candidates into engineering, product, and operating roles at high-growth startups • Manage your pipeline end to end • Build relationships with candidates • Move candidates through to close • Earn a % for every successful placement with no cap

Role Description We're an AI-native recruiting platform working with top-tier startups in NYC and SF, many backed by A16z, Sequoia, and Y Combinator. Demand is effectively unlimited right now and we need recruiters who can fill roles fast. - Source and place candidates into engineering, product, and operating roles at high-growth startups. - Manage your pipeline end to end. - Build relationships with candidates and move them through to close. - Earn a % for every successful placement with no cap. - Place more, earn more. Qualifications - Must be hungry and willing to be persistent. - Open to cold calling/texting candidates on a consistent basis. - Strong people skills and ability to connect with candidates. - Perfect role for someone motivated. Requirements - ~$5,000 per placement, uncapped (place more, earn more). - Fully remote with hours you set, as long as you deliver. - Contact list and fully automated outreach and fraud setup tools provided. - Support with the broader tech stack you need to source, reach, and close efficiently. - Steady flow of roles from top startups, so you spend your time closing rather than chasing business (900+).

Role Description As a Fullstack Software Engineer, you will own meaningful parts of the product from design through deployment. This role is best suited to an engineer who enjoys moving across the stack, making product decisions, and shipping quickly in an early-stage environment. - Build and launch customer-facing AI product features - Develop modern web applications using React and TypeScript - Build backend services and APIs using Python and TypeScript - Design relational data models using PostgreSQL - Integrate large language models, third-party APIs, and customer data sources - Deploy and operate production services using AWS - Improve application performance, reliability, observability, and security - Work closely with founders, product leaders, designers, and customers - Own projects from initial problem definition through production - Help establish engineering standards as the team grows Qualifications - Approximately 1–9 years of professional software engineering experience - Strong production experience with Python, TypeScript, or both - Experience building web applications with React or NextJS - Experience developing APIs, backend services, and database-backed applications - Familiarity with PostgreSQL or another relational database - A track record of independently shipping meaningful product features - Strong product judgment and attention to user experience - Comfort working across multiple layers of a technical system - Ability to operate effectively in a fast-moving and sometimes ambiguous environment - Clear written and verbal communication - Equivalent experience matters more than a specific number of years Requirements - Nice to have: - Experience building AI, LLM, agent, or machine-learning products - Experience with AWS, GCP, Docker, Kubernetes, or Terraform - Familiarity with LLM evaluations, retrieval, prompting, or observability - Previous experience at an early-stage or venture-backed startup - Experience owning a product or technical area with limited supervision Benefits - Build production AI products used by real customers - Work on problems that span product, engineering, data, and AI - Have significant ownership over what gets built and how - Work directly with company leadership and customers - Join an early team where individual contributions have visible impact - Receive a competitive salary and meaningful equity

Role Description As a Backend Engineer, you will design and build the services, APIs, data models, and infrastructure that power the company’s product. You will work primarily in Python and PostgreSQL while collaborating closely with product engineers, AI engineers, customers, and company leadership. This is not a narrow API-development role; you will work on production architecture, data systems, model integrations, security, reliability, and product capabilities. What you’ll do - Design, build, and maintain production backend services using Python - Develop APIs that support customer-facing applications and AI workflows - Design scalable relational data models using PostgreSQL - Build integrations with model providers, customer systems, and third-party platforms - Develop systems for asynchronous jobs, event processing, and long-running AI workflows - Deploy and operate services using AWS - Debug production issues across application, data, model, and infrastructure layers - Help shape backend architecture and engineering practices as the company grows Qualifications - Approximately 2–9 years of professional software engineering experience - Strong professional experience with Python - Experience designing and operating production APIs or backend services - Strong understanding of relational databases, SQL, and data modeling - Experience with PostgreSQL or a comparable production database - Familiarity with AWS, GCP, or another major cloud platform - Understanding of application security, authentication, and authorization - Experience debugging and operating systems in production - Ability to independently own technical projects from design through deployment - Comfort making pragmatic engineering decisions in an early-stage environment - Strong communication and cross-functional collaboration skills Nice to have (not required) - Experience building AI, LLM, agent, or machine-learning infrastructure - Experience integrating OpenAI, Anthropic, or other model providers - Familiarity with LLM evaluation, retrieval, embeddings, or vector databases - Experience with Docker, Kubernetes, Terraform, or CI/CD systems - Experience with Redis, Kafka, queues, or event-driven architectures - Experience building multi-tenant SaaS products - Previous experience at an early-stage startup - Experience with data-intensive or distributed systems

Role Description We’re building ProNexus: the all-in-one platform for sourcing human intelligence with AI. Consulting and research teams rely on human experts for primary research—finding them, vetting them, scheduling them, capturing insights, and turning those insights into reusable knowledge. Today that work is fragmented across inboxes, spreadsheets, CRMs, and manual workflows. ProNexus brings it together: AI-powered sourcing + outreach workflows + expert/CRM management + project execution + an “org memory layer” where insights compound over time instead of getting lost in decks and docs. Right now it’s two founders. We’re looking for a Gen AI/Backend Software Engineer Intern (Python) who wants to ship production code, learn fast, and take real ownership—without “intern busywork.” This internship is for you if… - You’ve built backend systems in Python and want to go deeper. - You’re excited about GenAI + agent workflows and can write strong prompts / schemas to get reliable outputs. - You like building one-off AI agents for specific workflows (extract → classify → enrich → route) and iterating until they’re dependable. - You ship fast, unblock yourself, and don’t need hand-holding to make progress. - You enjoy a tight feedback loop with founders and real users. What you’ll do: - Build and ship backend features end-to-end (API → DB → integrations). - Implement and improve FastAPI endpoints, background jobs, and core services. - Work with Postgres (Supabase): schema changes, queries, performance, data integrity. - Integrate external systems (e.g., enrichment providers, outreach tooling, internal workflows). - Help us build one-off AI agents that automate internal + customer workflows (e.g., sourcing support, enrichment, summarization, extraction, classification, routing). - Write and iterate on prompts, few-shot examples, and structured outputs (JSON schemas) to make agent behavior consistent. - Improve agent quality with lightweight evals: small test sets, edge cases, regression checks, and prompt/version tracking. - Add tests, logging, and basic observability so we can move fast without breaking things. Qualifications - Strong Python fundamentals (clean code, typing hygiene, debugging ability). - Comfortable with HTTP APIs, JSON, auth patterns, and database-backed systems. - Strong interest in GenAI / prompt engineering, with experience building LLM-powered features (projects are totally fine). - Some experience shipping something real (project, internship, open source, production app). Location / Schedule - Remote - This is a fast-moving team—best for someone who can commit meaningful hours consistently.