Generative AI Engineer

Job Title: Generative AI Engineer

Location: Noida

Employment Type: Full-time

About Us

E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks.

Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI

At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, we’ve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape.

E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professional’s profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behavior during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries.

Responsibilities:

· Design and develop LLM models that can understand textual data, uncover meaningful patterns, trends, and insights from unstructured information, ultimately solving analytical use cases.

· Utilize sophisticated algorithms and methodologies to refine and improve the performance of AI models, enabling accurate predictions and actionable outputs for analytical use cases.

· Stay informed about the latest advancements in NLP and LLM models and help us identify and adopt cutting-edge techniques. Continuously improve AI models and effectively address diverse analytical use cases.

· Work closely with cross-functional teams to address complex business challenges using LLM models. Help define the requirements to build and scale LLM models across our customer base.

· Take responsibility to develop and deliver AI models, including POCs

· Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles

· Document methodologies, experiments, and outcomes in clear and concise terms. Effectively communicate complex concepts and findings to both technical and non-technical stakeholders

· Educate teams on the concepts, tools, and applications of Generative AI technologies, blending training, technical expertise, and practical guidance.

Qualifications:

· A minimum of 5 years of experience in analytics

· A minimum of 3 years of hands-on experience working on NLP, Deep learning and machine learning models and LLMs to solve analytical use cases

· A master’s or bachelor’s degree in data science, Computer Science, Statistics, or a related field

· Experience working with Large Language Models (LLMs), including various prompt engineering techniques, word embeddings and vector databases. Azure stack (AI Search, OpenAI) and understanding of Agentic Architecture is a plus.

· Experience with one or more of the following tools and frameworks – LangChain, LangGraph, OpenAI Assistants API, AutoGen, etc.

· Knowledge of various cloud services (AWS, Azure, GCP) and their management. Experience with cloud native applications and/or deployment is a plus.

· Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results.

· Strong knowledge and understanding of Natural Language Processing (NLP) techniques and algorithms, and their practical applications in addressing analytical challenges.

· Proficiency in Python and having working knowledge of other programming languages is a plus, and experience with NLP libraries.

· Knowledge of frontend components and full-stack integration is a plus.

· Experience with large-scale data processing and distributed computing frameworks is a plus.

· Strong communication skills, both written and verbal, with the ability to convey complex ideas to diverse stakeholders.

· A track record of staying up to date with the latest advancements in NLP research and incorporating new techniques into practical applications.