Website:
hypersoftindia.com
Job details:
Company Description
Hypersoft Technologies Limited is a publicly traded company specializing in developing software products and providing IT consultancy services. Our expertise spans financial and business applications, client/server software development, and turnkey database solutions. With a focus on delivering cost-effective and efficient solutions, we cater to diverse industries, including securities management, manufacturing, ERP, healthcare, and more. We pride ourselves on fostering partnerships built on trust, reliability, and responsiveness, ensuring successful project delivery on time and to the highest standards. Our packaged solutions include stock broking systems, inventory management, supply chain management, and service call management, among others.
Role Description
This is a full-time hybrid role for an AI Consultant, based in Gandhinagar, with some work-from-home flexibility. The AI Consultant will collaborate with clients to identify solutions to their artificial intelligence needs, implement cutting-edge technologies, and develop customized AI-driven algorithms. Daily tasks include leveraging expertise in machine learning, natural language processing, and data science to propose strategies and provide consulting services that align with client business goals. The role also involves analyzing data, identifying patterns, and delivering actionable insights to optimize decision-making and outcomes.
Key Responsibilities
• Design, build, and fine-tune machine learning, deep learning, and Generative AI models for real-world use cases.
• Develop Agentic AI systems using frameworks such as ADK, LangGraph, or equivalent for orchestration and reasoning.
• Build solutions leveraging LLMs, RAG pipelines, embeddings, and vector databases.
• Design and implement AI systems for text, structured/unstructured data, and conversational use cases.
• Apply core NLP techniques including classification, summarization, entity recognition, and semantic search.
• Develop scalable algorithms for search, retrieval, and real-time inference.
• Build and integrate AI microservices into enterprise systems using APIs, event-driven architectures, and cloud services.
• Deploy and operate AI workloads using Docker, Kubernetes, and managed cloud AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
• Optimize solutions for performance, cost, latency, and security.
• Collect, preprocess, and manage large datasets for fine-tuning and inference.
• Continuously monitor and optimize models and prompts for accuracy, scalability, and efficiency.
• Partner with Solution Architects and business teams to translate requirements into production-ready AI solutions.
• Champion Responsible AI practices, including fairness, bias mitigation, and compliance.
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Required Skills
• Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch).
• Strong understanding of Generative AI concepts (transformers, embeddings, fine-tuning).
• Experience with Agentic AI frameworks (ADK, LangGraph, AutoGen).
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
• Knowledge of prompt engineering, vector databases (Pinecone, Weaviate), and retrieval-augmented generation (RAG).
• Hands-on with cloud-native AI deployments (Azure, AWS, GCP).
• Familiarity with API-driven design, microservices, and event-driven architectures.
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Qualifications
• Bachelor’s/Master’s in Computer Science, AI, Data Science, or related field.
• 3–9 years of experience in AI/ML development and deployment.
- • Hands-on experience with LLMs and Generative AI applications.
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