Artificial Intelligence Engineer

What can you expect in a Developer, AI / ML Engineering role with TaskUs : We are looking for an Artificial Intelligence and Machine Learning Engineer with 2 to 7 years of experience with python technology, who will be responsible for leveraging AI, NLP, NLU, LLM, and Generative AI technologies to create innovative products. The ideal candidate should have a strong background in machine learning and artificial intelligence with hands-on experience in building scalable and reliable AI-based products. Key Responsibilities : • Design and develop machine learning models to solve complex business problems using AI,NLP, NLU, LLM, and Generative AI technologies. • Develop and implement algorithms for data processing, feature extraction, and model training. • Collaborate with cross-functional teams to identify business requirements and create solutions that meet those requirements. • Identify and evaluate new AI technologies and tools that can improve the performance and efficiency of our products. • Manage and mentor a team of AI and Machine Learning Engineers. • Ensure that the products are delivered on time, meet quality standards, and are scalable. • Communicate technical solutions and results to non-technical stakeholders. Required Qualifications : • Bachelor's or Master's degree in Computer Science, Information Technology or related fields • 2 to 7 years of experience in machine learning and artificial intelligence. • Hands-on experience in building and deploying AI-based products using NLP, NLU, LLM, and Generative AI technologies. • Strong hands on experience in Object Oriented Programming System, Python , FastAPI , Generative AI Prompting . • Experience in containerisation (docker), Jenkins. • Experience in leading and managing a team of AI and Machine Learning Engineers. • Experience in AWS AI Services would be an added advantage. • Excellent problem-solving skills with the ability to think creatively and critically. • Strong communication and presentation skills with the ability to communicate technical solutions to non-technical stakeholders. • Experience in Agile development methodologies and project management. • If you are passionate about leveraging AI technologies to create innovative products and have a strong background in machine learning and artificial intelligence, we encourage you to apply for this exciting opportunity. Key Requirements : • Agentic Frameworks : LangChain, Multi-agent systems, Episodic memory, Semantic memory, tool orchestration. • Vector Databases / RAG : Vector DB (Anyone), Embeddings, Hybrid search (semantic + keyword), Chunking, Context window optimization, Metadata filtering, Hybrid pipelines. • LLMs / GenAI : Prompt engineering, Fine-tuning, LoRA, PEFT, Guardrails, Context window. • Infrastructure : AWS (S3, Lambda, ECS, EKS, SageMaker), Docker, CI / CD pipelines (Jenkins, GitHub Actions), Model serving (FastAPI), Secrets management (AWS Secrets Manager), GPU acceleration (CUDA).