About this role
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 assistantsFinancial document processingFraud/risk-related analyticsFintech automationTelecom customer-service solutionsEnterprise knowledge assistantsInsurance document and claims processingIntelligent search and recommendationEnterprise RAG platformsAI-powered workflow automationSenior-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 expertiseExposure to leading banking, fintech, telecom and enterprise projectsCareer growth and professional development opportunitiesAccess to modern technologies and enterprise-scale solutionsCollaborative and performance-driven work environmentOn-site / hybrid opportunities based on project requirementsOpportunities 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/