AI Engineer - Agentic Systems

AI Engineer - Agentic Systems

Work Mode: Remote

Time: 7:00 PM to 4:00 AM IST

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 workflows —building 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.