AI / ML Engineer

Arnsofttech is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced AI-driven systems that solve real-world business challenges. This role is heavily focused on building intelligent, agentic, and production-grade AI solutions, including AI Agents, Private GPTs, Small Language Models (SLMs), and Virtual Advisors. You will work at the forefront of applied AI, leveraging state-of-the-art LLMs, multimodal systems, and deep learning techniques, while contributing to scalable backend and user-facing applications.

Responsibilities:

• Write clean, efficient, and well-documented code for AI/ML applications.
• Collaborate with cross-functional teams to understand project requirements and contribute to technical solutions.
• Help in building and maintaining data pipelines for AI systems.
• Ability to write clear documentation and collaborate in teams using Git / GitHub.
• Stay updated with the latest advancements in AI, Machine Learning, and Deep Learning.
• Work directly with clients to understand their needs, communicate progress, and maintain alignment throughout the project lifecycle.
• Design and implement agentic AI systems with tool use, memory, reasoning, and function calling.
• Build and optimise RAG (Retrieval-Augmented Generation) pipelines, including tokenisation, embedding generation, vector indexing, retrieval strategies, and caching mechanisms.
• Develop AI-powered applications using LLMs such as OpenAI, Claude, Mistral, LLaMA, and other open-source models.
• Fine-tune and deploy Small Language Models (SLMs) for lightweight and domain-specific use cases.
• Work with open-source language and vision-language models, including quantisation and performance optimisation techniques.
• Implement advanced prompt engineering strategies and reasoning frameworks (e. g., chain-of-thought, structured outputs).
• Develop AI agents using frameworks such as LangChain, LlamaIndex, or similar orchestration tools.
• Integrate vector databases (Pinecone, Weaviate, FAISS) for semantic search and knowledge retrieval.
• Image processing (object detection, contour detection, OCR).
• Build and optimise deep learning models (CNNs, RNNs, LSTMs) for structured and unstructured data tasks using frameworks like PyTorch, TensorFlow, and Keras.
• Work with Graph Databases (e. g., Neo4j) to model knowledge graphs and enhance AI reasoning.
• Implement model optimisation techniques such as quantisation and model compression for efficient inference.
• Conduct model evaluation, monitoring, and continuous improvement in production environments.
• Create data collection, cleaning, preprocessing, and ingestion pipelines.
• Deploy AI systems on cloud platforms (AWS, GCP, Azure) with scalable architecture.
• Build production-ready APIs and backend services to orchestrate AI workflows.
• Implement secure and efficient inference pipelines for real-time AI applications.
• Work with structured and unstructured databases.
• Develop and maintain backend services using Python and/or Java to support AI applications.
• Build or integrate frontend interfaces using React to deliver intuitive AI-powered user experiences.
• Integrate third-party APIs and enterprise systems into AI solutions.
• Ensure performance, scalability, and maintainability of AI-enabled applications.

Requirements:

• Education: A Bachelor's or Master's degree in Computer Science, IT, or a related engineering discipline from a Tier 1 institution.
• Experience: Must have more than 1.5 years of experience.
• Academic Performance: Consistent and strong academic record.
• Core Concepts: Solid understanding of fundamental AI, Machine Learning, and Deep Learning concepts.
• Programming: Strong programming skills in Python and problem-solving ability.
• Foundations: Excellent knowledge of Data Structures, Algorithms, and Object-Oriented Programming (OOPs).
• Problem-Solving: Strong analytical and problem-solving abilities with keen attention to detail.
• Communication: Excellent verbal and written communication skills.
• Teamwork: A collaborative mindset with the ability to work effectively in a team environment.

Skills

AI, Deep Learning, LLM, Large Language Models, ML, Machine Learning, Python