Agentic AI Developer

Role: Agentic AI Developer Location: Remote (Must be based out of East Coast only) Job Description: Agentic AI Developer Agentic AI Developer to design, build, and deploy AI agents capable of autonomous decision-making, task orchestration, and integration across complex enterprise environments. The ideal candidate will have hands-on experience with AI frameworks, multi-agent systems, and orchestration platforms. Experience in Agentic AI security, trust, and alignment will be considered a strong plus. Key Responsibilities • Design, develop, and deploy autonomous AI agents for business-critical use cases. • Implement multi-agent collaboration frameworks for complex workflows. • Integrate AI agents with enterprise systems, APIs, and external services. • Leverage LLMs and specialized AI models to enable reasoning, planning, and execution. • Optimize agent performance with respect to latency, cost, and scalability. • Ensure alignment, explainability, and reliability of AI agents in production. • (Optional) Develop and enforce Agentic AI security controls, including agent sandboxing, prompt injection defense, adversarial robustness, and monitoring frameworks. • Collaborate with data scientists, engineers, and product managers to identify opportunities and build agentic AI solutions. • Stay current with advancements in LLMs, multi-agent systems, and AI safety research. Required Qualifications • Strong programming skills in Python (experience with LangChain, LlamaIndex, or similar frameworks preferred). • Experience building and deploying applications with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.). • Knowledge of autonomous agent architectures, planning algorithms, or workflow orchestration. • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). • Understanding of vector databases (Pinecone, Weaviate, FAISS, Milvus, etc.). • Ability to apply prompt engineering and fine-tuning techniques for specialized tasks. • Strong problem-solving and analytical skills. Preferred / Optional Qualifications • Experience in Agentic AI Security, including: • Secure prompt design and injection prevention. • Agent governance, monitoring, and fail-safe mechanisms. • Adversarial testing and red-teaming of agent behaviors. • Knowledge of AI alignment and responsible AI frameworks. • Familiarity with reinforcement learning and planning algorithms (e.g., ReAct, AutoGPT, BabyAGI-style architectures). • Contributions to open-source AI projects or research in multi-agent systems.