Agentic AI Engineer

We are seeking a highly skilled Agentic AI Engineer to design, build, and deploy intelligent AI agents capable of autonomous decision-making and task execution. The ideal candidate will have strong experience in Large Language Models (LLMs), multi-agent systems, workflow automation, and real-world AI deployment.

This role requires someone who can move beyond prompt engineering and build production-ready AI systems that interact with tools, APIs, databases, and business workflows. Key Responsibilities Design and develop autonomous AI agents using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, etc. Build multi-agent systems capable of collaboration and task delegation. Implement reasoning, planning, memory, and tool-use capabilities in AI agents. Integrate LLM APIs (OpenAI, Anthropic, open-source models, etc.). Optimize prompts, guardrails, and context management. Build and implement Retrieval-Augmented Generation (RAG) pipelines. Connect AI agents to APIs, CRMs, databases, internal tools, and third-party systems. Design scalable backend architecture for AI systems. Deploy AI services using cloud platforms (AWS, GCP, Azure). Implement monitoring, logging, and performance tracking. Ensure AI safety, guardrails, validation mechanisms, and data privacy compliance.

Required Skills & Qualifications 3- 6+ years of experience in AI/ML or software engineering. Strong proficiency in Python. Hands-on experience with LLM frameworks (LangChain, AutoGen, CrewAI, etc.). Experience building RAG pipelines and working with vector databases (Pinecone, Weaviate, FAISS, etc.). Solid understanding of APIs, microservices, and backend architecture. Experience with cloud platforms (AWS/GCP/Azure). Understanding of AI safety, hallucination mitigation, and evaluation metrics.

Good to Have Experience with open-source LLMs and fine-tuning. Knowledge of multi-agent orchestration systems. Startup experience in building 0→1 AI products. Experience deploying AI-powered automation tools or chatbots.

Key Competencies Strong problem-solving ability. Systems thinking. Ownership and accountability. Ability to work in fast-paced environments. Clear communication skills.