Role overview
We're looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.
This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features—from data pipelines and LLM orchestration to intuitive UI experiences—with a strong product mindset.
Responsibilities
- Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
- Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
- Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
- Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
- Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
- Collaborate closely with design, product, and data teams to bring ideas from concept to production.
- ️ Systems & Infrastructure
- Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
- Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
- Ensure systems are secure, reliable, and compliant with InfoSec standards.
- Rapidly prototype and iterate on new AI capabilities and user experiences.
- Analyze performance and usage metrics to drive product and model improvements.
- Stay up to date with the evolving AI toolchain and emerging agent architectures.
Basic qualifications
- 8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend).
- Solid understanding of LLM APIs, agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines- Advantage
- Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD).
- Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG)- Advantage
- Product-oriented mindset: you care deeply about building things that work well for users.
- Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques.
- Shape the foundation of our AI-first product vision.
- Work closely with a world-class team of engineers, product leaders, and data scientists.
- Opportunity to own impactful systems and ship fast in a nimble environment.
- Competitive compensation, equity, and benefits in a fast-growing company.
- We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties.
- We make an impact on our customer's business. We are on a mission to provide managers of all business types and sizes with the tools they need to communicate, operate, engage, and run their deskless workforce. Our product offers them an effective and affordable solution to run their business.
- We get the job done. Connecteam employees are passionate in executing their job duties so they can drive the company forward and provide real value to our customers.
- We have fun! From weekly happy hours to holiday parties, we always enjoy each other's company (and good food, of course). Connecteam is like one big, happy family!
- Everyone is welcome. Connecteam is committed to building an encouraging, caring, and supportive environment. We share a responsibility to support our team and enrich their lives.
Tags & focus areas
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