Highlights
Exciting opportunity to work on state-of-the-art AI projects using Python. Join a dynamic team at the forefront of technological innovation.
Description
Job Summary
pWe are seeking a talented AI Developer to join our team. The ideal candidate will have expertise in designing and developing AI-powered applications using Python. Key responsibilities include building conversational AI systems, optimizing chatbots, and virtual assistants, as well as developing agentic AI solutions for autonomous task execution.
Responsibilities
- Design and develop AI applications using Python
- Build and optimize conversational AI systems, chatbots, and virtual assistants
- Develop Agentic AI solutions capable of planning, reasoning, tool usage, and autonomous task execution
- Integrate and optimize LLMs such as GPT, Claude, Gemini, Llama, and other open-source foundation models
- Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases and knowledge retrieval techniques
- Develop, train, fine-tune, evaluate, and deploy Machine Learning and Deep Learning models for business use cases
- Build predictive analytics, forecasting, recommendation, classification, regression, clustering, and anomaly detection solutions
Required Skills
- Python Programming
- Data Science
- Machine Learning
- Deep Learning
- NLP (Natural Language Processing)
Required Skills Explained
- Proficiency in Python programming language.
- Experience with conversational AI systems, chatbots, and virtual assistants.
- Familiarity with Agentic AI solutions involving planning, reasoning, tool usage, and autonomous task execution.
- Knowledge of integrating and optimizing Large Language Models (LLMs) like GPT, Claude, Gemini, Llama, and open-source foundation models.
- Understanding of Retrieval-Augmented Generation (RAG) systems using vector databases and knowledge retrieval techniques.
- Expertise in developing, training, fine-tuning, evaluating, and deploying Machine Learning and Deep Learning models for business use cases.
- Awareness of machine learning algorithms such as XGBoost, LightGBM, CatBoost, Random Forest, Gradient Boosting, Decision Trees, SVM, and Neural Networks.
- Experience with modern deep learning architectures like CNNs, RNNs, LSTMs, Transformers.
- Skills in feature engineering, data preprocessing, model selection, hyperparameter tuning, and performance optimization.
- Ability to build workflow automation solutions using AI agents and orchestration frameworks.
- Experience with REST APIs and microservices for exposing AI capabilities.
- Proficiency in integrating AI systems with external platforms, databases, CRM systems, ERP platforms, and third-party APIs.
- Knowledge of monitoring, optimizing, and improving AI model accuracy, latency, scalability, and cost efficiency.
- Familiarity with MLOps practices for deploying, monitoring, versioning, and managing the lifecycle of AI models.
- Understanding of ensuring security, governance, compliance, and responsible AI best practices.
- Captain of conversational in English.
Who is this for
pThis role is perfect for experienced AI developers who are passionate about building cutting-edge solutions in the field of conversational and agentic AI. You should have a strong background in machine learning, deep learning, and data science.
Why This Job is a Good Opportunity
ulliWork on cutting-edge AI technologies that are shaping the future of automation and decision-making processes.liPotential to develop innovative solutions with significant business impact, contributing to growth and efficiency across industries.liOpportunity to collaborate with diverse teams including product, engineering, data science, and business units, fostering a multidisciplinary approach.liRapid learning environment where you can stay updated on the latest advancements in AI technologies such as Generative AI, Agentic AI, Machine Learning, Deep Learning, and Data Science.liCompetitive salary package reflecting the importance of your role in driving technological innovation and business success.
Interview Preparation Tips
- Prepare examples from your past projects that demonstrate your skills with Python, conversational AI systems, and deep learning architectures.
- Research recent advancements in Generative AI, Agentic AI, Machine Learning, Deep Learning, and Data Science to stay current.
- Briefly review MLOps practices, including model deployment, monitoring, versioning, and lifecycle management.
- Practice explaining complex technical concepts in a clear and concise manner, as you may be asked about theoretical knowledge and practical applications.
- Be ready to discuss your experience with security, governance, compliance, and responsible AI best practices.
Career Growth in This Role
pCareer growth in this role is abundant. You can progress from a senior AI engineer to leading an AI team or even transitioning into a product management position where you oversee the entire lifecycle of AI solutions. The demand for skilled professionals in AI and machine learning continues to grow, offering ample opportunities for advancement in both technical and managerial roles.
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Skills
Frequently Asked Questions
What programming languages are required for this role?Python is the primary language required, along with experience in other relevant languages.
Is prior experience in AI necessary?Yes, you should have a strong background in machine learning, deep learning, and data science.
What kind of projects will I be working on?You’ll work on developing conversational AI systems, agentic AI solutions, and integrating LLMs for various business use cases.
