AI Engineer - Agentic Systems

AI Engineer - Agentic Systems

Work Mode: Hybrid

We are looking for experienced Generative AI & Agentic Developers who are passionate about building intelligent, autonomous systems that integrate large language models (LLMs), automation, and enterprise data. In this role, you will design and implement agentic workflows, AI-driven integrations, and automation pipelines.Key

Responsibilities

• Design, develop, and deploy AI-powered applications and microservices using Python, Node.js, and LLM orchestration frameworks (LangChain, LangGraph, etc.).
• Implement agentic workflowsbuilding autonomous, multi-step, and tool-using agents that integrate APIs, vector stores, and databases.
• Develop and optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases using FAISS, Chroma, Weaviate, or Pinecone.
• Integrate and extend NLP/NLU models, prompt templates, and embeddings for conversational, classification, and automation tasks.
• Work with SQL/NoSQL databases (PostgreSQL, MongoDB, DynamoDB, etc.) to manage structured and unstructured data pipelines.
• Contribute to full-stack delivery, integrating LLM backends with modern frontends (React, Next.js, or Streamlit).
• Proficiency in Python and Node.js for application development.

Required Skills (Must Have)

• Candidates should have a minimum of 4 years of professional experience in a related Generative AI or Agentic Systems role.
• Strong proficiency in Python and Node.js for AI and backend development.
• Deep understanding of LLM technologies (OpenAI, Anthropic, Mistral, Hugging Face, Ollama, etc.) and prompt orchestration frameworks (LangChain, LangGraph, AutoGen).
• Hands-on experience building RAG pipelines and working with vector databases.
• Experience integrating external tools and APIs via function calling or tool registration mechanisms.
• Working knowledge of SQL and NoSQL databases and their integration into AI pipelines.
• Excellent problem-solving, debugging, and architectural design skills.

Nice to Have Skills

• Understanding of cloud deployment and infrastructure (AWS Lambda, SageMaker, GCP Vertex, Azure AI).
• Knowledge of containerization and CI/CD pipelines (Docker, Kubernetes, GitHub Actions).
• Experience with AI observability, guardrails, and safety mechanisms for LLMs.
• Frontend development with React.