Posted on: 08/05/2026
About the Role :
We are looking for a passionate and skilled AI Engineer to join our growing technology team. The ideal candidate will be responsible for designing, developing, and deploying AI/ML solutions that solve real-world business problems. You will work closely with product, engineering, and data teams to build scalable AI-powered applications and automation systems.
Key Responsibilities :
- Design, develop, and deploy AI/ML models and applications.
- Build and optimize Large Language Model (LLM) based solutions.
- Develop intelligent automation tools, chatbots, and AI assistants.
- Work on data preprocessing, model training, fine-tuning, and evaluation.
- Integrate AI models with web applications and APIs.
- Collaborate with cross-functional teams to understand business requirements.
- Monitor model performance and improve system accuracy continuously.
- Research and implement the latest advancements in AI and Machine Learning.
Required Skills :
- Strong knowledge of Python programming.
- Experience with Machine Learning and Deep Learning concepts.
- Hands-on experience with frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience working with LLMs such as GPT, Claude, Gemini, or open-source models.
- Knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG).
- Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.
- Familiarity with Vector Databases like Pinecone, Weaviate, or FAISS.
- Experience in REST APIs and backend integration.
- Understanding of NLP, embeddings, and AI model evaluation.
- Knowledge of cloud platforms such as AWS, Azure, or GCP is preferred.
- Familiarity with Docker, Git, and CI/CD pipelines.
Preferred Qualifications :
- Bachelors degree in Computer Science, AI, Data Science, or related field.
- Experience building production-level AI applications.
- Knowledge of Generative AI and AI agent frameworks.
- Understanding of MLOps concepts and deployment strategies.
- Strong problem-solving and communication skills.
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