AI/ML Engineer

Arnsoft 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 solutionsincluding 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.

Key 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

AI System Design & Development (Core Focus)

• Design and implement agentic AI systems with tool use, memory, reasoning, and function calling
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines, including tokenization, 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 quantization and performance optimization 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
• Design and deploy multimodal AI systems, including Image processing (object detection, contour detection, OCR)
• Speech systems (STT & TTS integration)
• Build and optimize 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 optimization techniques such as quantization and model compression for efficient inference
• Conduct model evaluation, monitoring, and continuous improvement in production environments
• Create data collection, cleaning, preprocessing, and ingestion pipelines

AI Deployment & Infrastructure

• 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

Full Stack Development

• 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

Required Experience

• 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