Full-Stack AI Agent Developer – AI SDR Systems

About the Role

We are looking for a Full-Stack AI Agent Developer to build and scale world-class AI Sales Development Representative (SDR) agents. This role combines expertise in AI/LLMs, multi-agent systems, and full-stack development with deep knowledge of sales workflows. You’ll be responsible for designing intelligent, autonomous agents capable of prospecting, engaging, qualifying, and collaborating with other agents — all while integrating seamlessly with real-world sales tools and CRMs.

Responsibilities:

           •         Architect & develop AI SDR agents with advanced tool calling, memory, and reasoning

capabilities.

           •         Build multi-agent collaboration systems (e.g., researcher agent, prospector agent, outreach

agent, qualification agent) that work together to execute SDR workflows.

           •         Implement tool integrations for lead enrichment (LinkedIn, Apollo, Clearbit), CRM updates

(Salesforce, HubSpot), communication (email, Slack, LinkedIn), and scheduling (Calendly).

           •         Orchestrate RAG pipelines, vector DBs, and APIs to ensure contextual, accurate, and

personalized outreach.

           •         Build full-stack systems (backend services, APIs, dashboards, front-end UI) for sales teams to

monitor, supervise, and interact with AI SDRs.

           •         Optimize agent reasoning, tool selection, and multi-turn dialogue flows for higher

conversion.

           •         Ensure compliance with GDPR, CAN-SPAM, and enterprise security standards in automated

outreach.

           •         Continuously measure and improve agent performance via A/B testing, analytics, and

feedback loops.

Requirements:

           •         Strong background in Full-Stack Development (Node.js, TypeScript, React/Next.js, or similar).

           •         Proven experience with AI/LLMs (OpenAI, Anthropic, open-source models) and agent

frameworks (LangChain, CrewAI, AutoGen, LlamaIndex, Semantic Kernel).

           •         Hands-on expertise in tool calling APIs, function calling, and multi-agent orchestration.

           •         Experience with databases & vector stores (Postgres, Pinecone, Weaviate, Chroma, Redis).

           •         Knowledge of SDR workflows, outbound sales, and CRM integrations (Salesforce, HubSpot).

           •         Solid understanding of prompt engineering, retrieval-augmented generation (RAG), memory

management, and dialogue systems.

           •         Ability to build scalable cloud architectures (AWS, GCP, or Azure) and deploy AI-powered

services with observability.

           •         Strong problem-solving, experimentation mindset, and startup readiness.

Nice to Have

           •         Prior experience building autonomous sales agents or AI-powered growth tools.

           •         Exposure to multi-agent frameworks with collaboration, delegation, and reasoning.

           •         Familiarity with Reinforcement Learning, self-play, or agentic evaluation.

           •         Contributions to open-source AI agent libraries.

What We Offer

           •         The chance to build industry-defining AI SDR agents from the ground up.

           •         A team-first environment with a strong emphasis on experimentation & innovation.

           •         Access to cutting-edge LLMs, agent frameworks, and sales tech stack.