Job Description
We are seeking a talented AI Engineer to design, develop, deploy, and maintain Artificial Intelligence and Machine Learning solutions that solve business challenges.
Your future duties and responsibilities:
- 2 – 3 years’ experience of developing AI solutions or machine learning engineering, or any related field.
- Proven experience taking AI/ML models from concept to production.
- Translate high level client use cases and business problems into scalable, fully functional AI Solutions (traditional ML, GenAI, and RAG architectures).
- Architect and deploy autonomous and multi agent AI systems capable of complex reasoning, decision making, task routing, and external tool/API execution.
- Design, develop and deploy AI solutions using LLMs (OpenAI, Google Gemini, Claude) integrated with orchestration frameworks (LangChain, LlamaIndex) and Vector Databases.
- Write tailored prompts and construct advanced reasoning loops and chain link components for autonomous workflows.
Required qualifications to be successful in this role:
- Core Languages: Python (Required); Java and Angular/React (For full stack UI/API integration of the solution).
- Agentic AI & Orchestration: Hands on experience with agentic frameworks (e.g., LangGraph, CrewAI, AutoGen) and LLM function calling/tool usage.
- ML Frameworks: Hugging Face, LangChain, LlamaIndex, OpenAI API, TensorFlow, Keras, and PyTorch.
- Data & Vector Storage: Deep understanding of Vector Databases (e.g., Pinecone, ChromaDB) and RAG pipelines.
- AI Concepts: Agentic Workflows, Deep Learning.
- DevOps & MLOps: Containerization, cloud resource provisioning, and basic infrastructure as code, build CI/CD pipelines build, deploy, and monitor solutions
Skills:
- Agentic RAG
- AI Data Modeling
- Communication
- Deep Learning
- LangChain
- OpenAI
- Python
