Lead AI Developer

We are seeking a highly skilled Lead AI Developer with deep expertise in Generative AI (Gen AI), agentic AI applications, and RAG systems to join our AI innovation team. The successful candidate will design, develop, and deploy cutting-edge AI solutions for enterprise workflow automation and knowledge-driven applications that leverage custom internal data. The role involves hands-on development, system architecture, toolchain integration, and collaboration with cross-functional teams to bring AI-driven automation into production environments.

• 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.

Stay current with the latest developments in agentic AI, orchestration frameworks, and foundation model APIs.

• 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).

Experience with several of the following is strongly preferred:

• 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.

Why Join Us?

Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

• 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.