Website:
cygnusconsulting.com.au
Job details:
AI Engineer x2
We are looking for 2 high-impact AI Engineers to join our growing team and work on cutting-edge Generative AI and enterprise automation solutions at Cygnus Consulting,
Location: India 🏠 Currently remote, with potential transition to a hybrid/on-site model in the future
We are looking for high-impact AI Engineers who can design, build, and deploy production-grade AI systems across Generative AI and enterprise automation use cases. This role goes beyond experimentation—you will own end-to-end AI solutions, from model development to scalable deployment across cloud and edge environments. The ideal candidate is someone who can translate ambiguous business problems into robust AI solutions, optimize models for real-world constraints (latency, cost, accuracy), and integrate AI seamlessly into enterprise workflows.
Key Responsibilities
1. AI Solution Architecture & Delivery
• Design and implement end-to-end AI systems spanning data ingestion, model development, inference, and deployment
• Build scalable solutions for document intelligence, fraud detection, and automation workflows
• Own production deployments with a focus on reliability, performance, and maintainability
2. Generative AI & LLM Engineering
• Develop and deploy RAG-based systems, conversational AI, and multi-agent workflows
• Fine-tune and optimize LLMs for domain-specific use cases
• Integrate LLMs with enterprise systems using APIs and orchestration frameworks
• Implement prompt engineering, evaluation pipelines, and guardrails.
3. Computer Vision & Intelligent Systems (Desirable)
• Design and deploy real-time computer vision pipelines (OCR, object detection, face recognition, video analytics)
• Build AI-driven solutions for industrial inspection, surveillance, and document processing
• Optimize models for edge devices and high-throughput environments
4. Backend & AI System Integration
• Develop high-performance AI services using FastAPI/Flask and REST-based architectures
• Integrate AI models with databases and enterprise systems for real-time decision-making
• Build scalable APIs supporting AI workloads 5. Deployment, MLOps & Optimization
• Deploy models using containerized environments and CI/CD pipelines
• Manage deployments across AWS, Azure, and hybrid edge-cloud environments
• Monitor model performance and continuously improve accuracy and efficiency
6. Leadership & Collaboration
• Work closely with cross-functional teams (product, engineering, business)
• Mentor junior engineers and contribute to AI best practices
• Drive technical decisions and architecture discussions
Technical Qualifications
1. AI & Machine Learning
• Strong experience in Computer Vision (Desirable) and Generative AI systems
• Expertise in RAG, LLM fine-tuning, multi-agent systems, and vector databases
• Hands-on with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain
2. Backend & AI Services
• Strong experience in Python-based backend development (FastAPI, Flask)
• Proven ability to build REST APIs and scalable AI services
• Experience with databases such as MongoDB, MySQL, PostgreSQL
3. Deployment & Infrastructure
• Experience deploying AI systems on AWS (EC2, Lambda), Azure, or hybrid environments
• Strong understanding of model serving, CI/CD, and containerized deployments
4. Additional Skills
• Experience building document intelligence or fraud detection systems
• Strong problem-solving skills and ability to work on complex, ambiguous requirements
• Experience working in production AI environments at scale
If you’re passionate about building production-grade AI solutions and solving complex real-world problems, we’d love to connect.
📩 Send your CV to: Arpita.E@Cygnusconsulting.com.au
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