Artificial Intelligence (AI) Engineer

Position: AI (Artificial Intelligence) Engineer

Company Overview:

Ictect the Intelligent Content Company has a special opportunity for an AI Engineer to join our team and help develop and implementing cutting-edge AI solutions that drive innovation and solve complex problems. You will collaborate with cross-functional teams to design, build, and deploy AI models, algorithms, and systems to improve our products, services, and processes. This is a long-term opportunity offering you significant career advancement and personal satisfaction. You will get the chance to be part of the following:

Responsibilities

Your responsibilities will include:

• Design and develop agentic systems using Python and C#
• Implement structured multi-step workflows using LangChain and/or LangGraph
• Build hybrid deterministic + LLM-based routing systems
• Design and implement classification and rule-based decision engines
• Develop confidence scoring mechanisms and threshold-based routing logic
• Implement human-in-the-loop review and override controls
• Design structured data capture and lifecycle tracking systems
• Build memory and retrieval pipelines using RAG architectures (FAISS, ChromaDB, or equivalent)
• Integrate tool-calling and function invocation frameworks for external system interaction
• Implement robust error handling, fallback mechanisms, and observability tooling
• Optimize token usage, latency, and context window management
• Deploy AI services using Azure and AWS (EC2, Lambda, S3, RDS, IAM) in secure environments
• Containerize and deploy services using Docker
• Collaborate with cross-functional engineering teams to integrate AI services into enterprise platforms

Desired Skills

• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of data preprocessing techniques and feature engineering.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).
• Excellent problem-solving and analytical skills.
• Effective communication and teamwork abilities.
• Deep understanding of the mathematics underlying the AI algorithms including proficiency in Linear algebra, Calculus, Probability and Statistics.
• Experience working with Large Language Models (LLMs) such as GPT, Llama2 or similar architectures. Knowledge of LLM-integration frameworks such as Langchain, and proficiency in fine-tuning these models for specific tasks.
• Hands-on experience with frameworks such as Flask, Django, etc.
• Proven expertise in Natural Language Processing and Computer Vision tasks demonstrating proficiency in implementing models such as CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), etc. Additionally, skilled in utilizing the frameworks such as Detectron2, TFOD, etc.
• Solid hands-on understanding of Data Structures and Algorithms.

Qualification & Experience

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.
• 2+ years of professional AI/ML engineering experience.
• Strong proficiency in Python.
• Working proficiency in C# for enterprise integration scenarios.
• Hands-on experience with LangChain, LangGraph, or similar agent frameworks.
• Experience implementing Retrieval Augmented Generation (RAG) systems.
• Experience with vector databases (FAISS, ChromaDB, Pinecone, or equivalent).
• Solid understanding of LLM architectures and structured prompt engineering.
• Experience building REST APIs (FastAPI preferred).
• Knowledge of state management and multi-turn session handling.
• Experience with containerization (Docker).
• Experience deploying services in AWS and Azure cloud environments.
•  Understanding of system design principles and clean architecture