AI Engineer — Mid / Senior

Key Responsibilities

• Design and develop AI/ML solutions for enterprise applications.
• Develop production-ready AI services using Python.
• Develop and integrate machine-learning models and AI APIs.
• Work with Large Language Models (LLMs) and Generative AI technologies.
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
• Work with embeddings, vector databases and semantic search.
• Develop AI-powered chatbots, virtual assistants and intelligent automation solutions.
• Integrate AI services with enterprise applications through REST APIs and microservices.
• Develop data-processing and model-inference pipelines.
• Evaluate model performance, accuracy and reliability.
• Implement prompt engineering and model evaluation techniques.
• Apply appropriate security and privacy controls for enterprise AI solutions.
• Optimize inference performance, cost and scalability.
• Monitor AI applications in production and troubleshoot issues.
• Collaborate with software engineers, data teams, product teams and business stakeholders.

Enterprise AI Use Cases

Depending on the engagement, candidates may work on

• Banking customer-service assistants
• Financial document processing
• Fraud/risk-related analytics
• Fintech automation
• Telecom customer-service solutions
• Enterprise knowledge assistants
• Insurance document and claims processing
• Intelligent search and recommendation
• Enterprise RAG platforms
• AI-powered workflow automation

Senior-Level Expectations

• Design AI solution architecture and technical approaches.
• Lead implementation of AI/ML and Generative AI solutions.
• Evaluate and select appropriate models, frameworks and technologies.
• Establish AI engineering and MLOps best practices.
• Mentor AI/ML engineers.
• Lead model evaluation, optimization and production deployment.
• Participate in client-facing AI solution discussions.

Requirements

• Bachelor's degree in CSE, Computer Science, AI/ML, Software Engineering, Data Science or related discipline.
• 3–8 years of relevant AI/ML/software engineering experience, depending on level.
• Strong Python programming skills.
• Practical experience with machine learning and/or Generative AI.
• Understanding of LLMs and modern AI architectures.
• Experience developing APIs and integrating AI services into applications.
• Good understanding of data processing and model evaluation.
• Strong software engineering fundamentals.
• Experience with Git and Agile/Scrum.

Preferred Skills

PyTorch | TensorFlow | Hugging Face | LangChain | LlamaIndex | RAG | Vector Databases | OpenAI/LLM APIs | Ollama | NLP | Computer Vision | MLflow | Docker | Kubernetes | AWS/Azure/GCP

Experience building production-grade AI solutions for banking, fintech, telecom, insurance or other regulated/enterprise environments will be highly valued.

What We Offer

• Competitive compensation based on experience and expertise
• Exposure to leading banking, fintech, telecom and enterprise projects
• Career growth and professional development opportunities
• Access to modern technologies and enterprise-scale solutions
• Collaborative and performance-driven work environment
• On-site / hybrid opportunities based on project requirements
• Opportunities to work with experienced technical and business teams

📩 How to Apply

Email

career(@)flytesolutions.com

Please include CV, Current Salary, Expected Salary, Notice Period and Brief Cover Letter.

Subject

5years– AI Engineer

Flyte Solutions Ltd.

Technology Solutions | Resource Augmentation | Software Engineering

https://www.flytesolutions.com/