Senior Generative AI Engineer – LLM & RAG

Title: Senior Generative AI Engineer – LLM RAG Salary: $125k tp $130k per annum Job Description This is an exciting opportunity to join a team focused on revolutionizing financial data interaction through advanced AI We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to contribute to the development of AIML projects within the Finance Title: Senior Generative AI Engineer – LLM & RAG Salary: $125k tp $130k per annum Job Description This is an exciting opportunity to join a team focused on revolutionizing financial data interaction through advanced AI We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to contribute to the development of AIML projects within the Finance domain Responsibilities • Design develop and implement cutting-edge Generative AI solutions for various AIML projects in Finance building upon existing foundations • Lead the integration of Retrieval Augmented Generation RAG techniques to enhance the accuracy and context awareness of our AI systems • Develop and refine Large Language Model LLM based solutions leveraging expertise in prompt engineering and finetuning • Utilize table transformers and other advanced Python packages for extracting and processing complex financial data • Work end to end on GenAI solutions from data preprocessing and model development to deployment and monitoring • Collaborate with cross functional teams to ensure seamless integration of AI solutions into existing workflows • Stay UpToDate with the latest advancements in GenAI and contribute to our ongoing AI innovation efforts • Communicate technical concepts and findings clearly and effectively to both technical and nontechnical audiences Qualifications • Bachelors in Computer Sciences or related field • Master’s degree or PhD in Data Science Computer Science or a related field is preferred • Proven experience 68 years in developing and deploying AIML solutions in real world settings • Minimum 2 years of experience specifically with Generative AI solutions • Proven experience in developing and deploying Generative AI solutions in real world settings • Deep understanding of • Retrieval Augmented Generation RAG • Large Language Models LLMs and their applications • Transformer models e.g. BERT GPT • Agentic AI understanding • Prompt engineering and finetuning techniques • Vector databases and similarity search • Lang Chain LlamaIndex or similar frameworks for building GenAI applications • Model evaluation metrics for GenAI • MLOps principles and practices for deploying and managing AI models • Strong programming skills in Python including experience with relevant libraries and frameworks e.g. TensorFlow PyTorch scikitlearn Pandas NumPy • Excellent communication collaboration and problem-solving skills • Handson experience with end-to-end AI project development and deployment Preferred Qualifications • Formal coursework or certifications in Data Science • Experience in the financial services industry • Familiarity with cloud computing platforms e.g. AWS Azure GCP • Contributions to opensource AI projects What to expect • Opportunity to work on cutting edge AI projects • Collaborative and innovative work environment About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. 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