AI NLP Engineer

Job Summary We are looking for an experienced person who has good experience in designing, developing, and deploying LLM-powered Generative AI applications for diverse use cases such as chatbots, content generation, summarization, and code automation. Key Responsibilities Design, develop, and optimize LLM-based applications for various use cases such as chatbots, content generation, summarization, and code generation. Design, develop, and deploy high-performance Generative AI applications using Python, LLMs, and deep learning frameworks. Write clean, modular, and scalable code while ensuring best practices in software development. Fine-tune and deploy large-scale open-source and proprietary language models (e.g., OpenAI GPT, LLaMA, Mistral, Falcon, Claude). Implement prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques to improve AI performance. Work with vector databases (FAISS, ChromaDB, Weaviate, etc.) for efficient retrieval and indexing of large datasets Core Competencies Strong expertise in cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and application deployment architecture. Comprehensive understanding of agile methodologies, ITSM, and project governance. Excellent written and oral communication skills; ability to engage with senior stakeholders and clients. Experience in leveraging NLP techniques for diverse business problems (content generation, Q&A, information retrieval, knowledge extraction). Required Qualifications A bachelor's / master’s degree in computer sciences, information systems, statistics, or mathematics, with 1-3 years of experience in software development. Collaborate with cross-functional teams, including data scientists, MLOps engineers, and product managers, to integrate AI models into production systems. Optimize model performance and reduce latency using quantization, distillation, and pruning techniques. Stay up to date with cutting-edge research in AI, NLP, and deep learning to continuously improve solutions. Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for model deployment. Strong problem-solving skills and experience working in an agile development environment. 1+ years of experience in AI/ML, deep learning, or software development. Preferred Qualifications Delegate projects, assess resource allocation, and support product development initiatives. Foster open communication across teams and with clients/business stakeholders. Lead planning, monitoring, and control activities, including daily standups and project governance. Exceptional stakeholder management and executive communication skills. Excellent problem-solving and communication skills. Leadership Perspective Mark Vollenweider, Co-Founder and CEO “Most enterprises are navigating AI with one eye open. Nobody has both eyes open yet, and that is exactly the opportunity. At Evalueserve, we are on that journey with our clients, helping them get there through focus, simplicity, speed, creativity, and a spirit of collaboration and appreciation. The organizations that will lead tomorrow are the ones building that capability today, and we are proud to be the partner making it possible.” Satyajit Saha, Senior Vice President for Innovation & Technology Centre “With 25 years of experience in insight-driven solutions, Evalueserve is leading the charge in embedding domain-specific generative AI into how knowledge work gets done—at scale and with measurable impact.” Why Join Evalueserve? Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work—and today, we are pushing the frontier further with generative and agentic AI. We foster a merit-based and innovation-driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility. Evalueserve has been recognized as a Great Place to Work® across four continents and ranks among the top 5% of global companies for diversity—alongside numerous awards across its solution lines. Recent Awards and Recognitions AIM Research 2025: Top 10 of the “20 Best Firms for Women in Tech” Forrester Wave 2024: Leader in Market & Competitive Intelligence Platforms Chartis Research 2024: Category Leader in Credit Portfolio Management Credit Strategy Lending Awards 2024: Winner, “Best Technology Partner” Banking Tech Awards 2024: Highly Commended, “Best LendTech” Follow Us Stay connected and learn more about life at Evalueserve: Follow us on LinkedIn for the latest updates and career opportunities. Discover how our leaders are driving innovation through AI-powered supply chain optimization solution built on Google Cloud. Know how Evalueserve climbed 16 places on the “50 Best Firms for Data Scientists in 2024.” Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.