Job Title : AI Engineer (2 -3 years)
Company Name : NewAgeSys IT, (a division of NewAgeSys)
Location : Carnival Infopark, Phase 2 , Kakkanad, Ernakulam
Job Type : Onsite
Shift Timing : 11 AM - 8 PM
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About Us:
We are a growing technology company with strong foundations in mobile and web development, and an established focus on Artificial Intelligence. Our AI team is actively building intelligent, scalable, and data-driven solutions that enhance digital products across multiple domains. As we continue to expand our AI capabilities, we are looking for a passionate AI/ML Engineer to join our existing team and contribute to designing, developing, and deploying machine learning solutions that create real value for our clients and end users.
Key Responsibilities:
Design, develop, and deploy AI/ML solutions across Generative AI, Computer Vision, and traditional Machine Learning domains.
Build and maintain Generative AI applications including RAG-based systems, AI agents, and multi-agent workflows using frameworks such as LangChain, LangGraph, and MCP-compatible architectures.
Develop AI systems that integrate with external tools, APIs, databases, and enterprise workflows using Model Context Protocol (MCP) implementations and tool orchestration mechanisms.
Work with Large Language Models (LLMs), including hosted models (OpenAI, Gemini, Claude) and open-source models (LLaMA, Mistral, Qwen, DeepSeek), for inference, fine-tuning, and optimization use cases.
Design and optimize knowledge retrieval pipelines involving embeddings, vector databases, document ingestion, chunking strategies, reranking, and contextual retrieval.
Develop Computer Vision solutions including image classification, object detection, segmentation, and video/image analytics using OpenCV, PyTorch, TensorFlow, and deep learning-based architectures.
Train, fine-tune, evaluate, and optimize machine learning, deep learning, and LLM-based models for production-grade performance.
Develop and expose AI/ML services through REST APIs using FastAPI or similar backend frameworks.
Collaborate with frontend, backend, DevOps, and product teams to integrate AI capabilities into scalable applications.
Participate in deployment, monitoring, debugging, and optimization of AI systems in production environments.
Stay updated with the latest advancements in Generative AI, Agentic AI, MCP ecosystems, Computer Vision, and Machine Learning research.
Required Skills & Qualifications:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related fields.
2–3 years of hands-on experience in AI/ML, Deep Learning, Computer Vision, or Generative AI application development.
Strong programming proficiency in Python with good understanding of software engineering best practices.
Hands-on experience building Generative AI applications such as RAG-based chatbots, AI assistants, document intelligence systems, or agentic AI workflows.
Practical experience with LangChain, LangGraph, MCP-based integrations, and AI orchestration frameworks.
Experience implementing MCP-compatible tool integrations and connecting AI agents with external systems, APIs, databases, or enterprise tools.
Strong understanding of vector databases, embeddings, retrieval pipelines, prompt engineering, and context management techniques.
Experience working with LLMs and Transformer-based architectures using hosted APIs and/or open-source models.
Good understanding of Machine Learning fundamentals including supervised learning, unsupervised learning, deep learning, model evaluation, and validation techniques.
Hands-on experience with ML/DL frameworks such as PyTorch, TensorFlow, and Scikit-learn.
Experience in Computer Vision projects involving image classification, object detection, segmentation, or custom model training.
Familiarity with OpenCV and deep learning-based computer vision models.
Experience in developing and deploying AI/ML services using FastAPI, REST APIs, or microservice-based architectures.
Understanding of model deployment, containerization, and production workflows using tools such as Docker, Kubernetes, or cloud platforms like AWS/GCP/Azure.
Familiarity with version control systems (Git).
Preferred (Nice to Have):
Experience with multi-agent AI systems and advanced agent orchestration using LangGraph or similar frameworks.
Exposure to fine-tuning LLMs, LoRA/QLoRA, or inference optimization techniques.
Exposure to multimodal AI applications involving text, image, audio, or video processing.
Experience with Edge AI or deploying AI models on edge devices such as NVIDIA Jetson or Raspberry Pi.
Essential Skills for the AI/ML Engineer Role
Hands-on experience building RAG-based chatbots, GenAI applications, or AI-powered assistants.
Practical exposure to Agentic AI systems involving:
Single-agent multi-tool workflows
Multi-agent multi-tool orchestration
Tool calling and reasoning pipelines
AI workflow automation
Familiarity with frameworks such as LangChain and LangGraph for agent orchestration, tool integration, and workflow management.
Computer Vision
Hands-on experience in Computer Vision projects
Exposure to Image classification, Object detection and segmentation.
Familiarity with OpenCV and other deep learning based CV models.
Core Machine Learning Fundamentals
experience with supervised learning problems
Exposure to Regression and Classification use cases
Working knowledge of tree-based models (Decision Trees, Random Forest, XGBoost)
Python Programming + ML/DL frameworks
Strong proficiency in Python
Hands-on experience with PyTorch and/or TensorFlow
Model Training, Fine-Tuning & Evaluation
Experience with training or fine-tuning models (ML, DL, or LLMs)
Understanding of evaluation metrics and validation approaches
