Lead AI Developer
C the Signs
- Boston, MA
- Permanent
- Full-time
- Architect and develop agentic AI systems that can plan, reason, and act using tools, APIs, and memory across various workflows
- Build and optimize RAG pipelines using structured and unstructured enterprise data (documents, databases, APIs).
- Integrate LLMs with external systems, tools, and APIs using frameworks like LangChain, LlamaIndex, or Semantic Kernel.
- Design prompt engineering and function-calling strategies for dynamic and interactive agents.
- Implement scalable and secure AI services that can be deployed in cloud environments (e.g., AWS, Azure, GCP).
- Fine-tune or orchestrate use of open-source or commercial LLMs (e.g., GPT-4, Claude, Mistral, LLaMA) based on task-specific needs.
- Collaborate with data engineers and MLOps to build robust data pipelines and monitoring frameworks.
- Ensure AI systems are explainable, auditable, and aligned with organizational compliance and governance standards.
- 5–8+ years of professional experience in AI/ML development; 2+ years in Gen AI and LLM-based solutions.
- Strong understanding of transformer-based architectures and LLM capabilities.
- Experience with RAG, embedding models, vector databases, and custom document indexing.
- Experience building applications using OpenAI, Anthropic, Mistral, or open-source models (e.g., Ollama, Hugging Face).
- LangChain/Langgraph
- LlamaIndex
- Semantic Kernel
- Haystack
- CrewAI / AutoGen / AutoGPT / OpenAgents / n8n
- Transformers / Diffusers (Hugging Face)
- OpenAI Function Calling / Tools API
- ReAct / MRKL / Tree-of-Thought / AutoGPT-style frameworks
- Proven experience building enterprise-grade AI applications, ideally in workflow automation, intelligent agents, or knowledge assistants.
- Integration with APIs, tools, and external systems (e.g., CRMs, ERPs, proprietary internal platforms).
- Experience with prompt engineering, tool use chaining, and multi-step agent orchestration.
- Strong Python programming (must-have); TypeScript or JavaScript a plus.
- Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
- Cloud deployment experience: AWS (SageMaker, Bedrock), Azure (OpenAI, ML Studio), or GCP.
- Experience with vector databases like Pinecone, Weaviate, FAISS, Chroma, Qdrant.
- Knowledge of data pipelines, ETL, and data engineering workflows.
- Familiarity with data governance, security, and privacy requirements for enterprise systems.
- Master’s or BS. in Computer Science, AI/ML, Data Science, or a related field.
- Experience in multi-agent systems, AI planning, or autonomous AI agents.
- Publications or contributions to open-source Gen AI frameworks a plus.
- Experience mentoring junior developers and contributing to AI architecture decisions.
- Competitive salary and benefits package.
- Flexible working arrangements (remote or hybrid options available).
- The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
- Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
- Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.