Software Engineer (Python, FastAPI, LLM, GenAI, RAG) at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, LLM, GenAI, RAG, Microservices, RESTful APIs, Kafka, RabbitMQ, SQL, Unit Testing, CI/CD, Jenkins, Docker, Azure, LangChain

Industry

Software Development

Description

Job Description Responsibilities Write complex, maintainable, and high-quality code to develop scalable, flexible, and user-friendly applications using Python, FastAPI, LLMs/GenAI, and cloud architecture. Design and develop highly available, low-latency, cloud‑native applications following modern microservices and API-driven architectures. Build and integrate LLM-powered solutions, including prompt engineering, RAG pipelines, and agent-based workflows. Work collaboratively with cross-functional team members and mentor junior engineers through design reviews, best practices, and code guidance. Integrate and consume RESTful APIs, messaging systems (RabbitMQ, Apache Kafka, or equivalent), and external services. Participate in the full Software Development Life Cycle (SDLC) of analytic applications — including conceptualization, design, development, testing, deployment, and production support. Ensure application quality through unit testing, code coverage, and performance testing, and by following secure and scalable design principles. Implement observability and instrumentation using tools such as Graylog, Datadog, ELK, Splunk, or equivalent. Support CI/CD pipelines by working with Jenkins jobs for build, deployment, testing, and coverage reporting. Continuously learn and apply new technologies, frameworks, and best practices to improve system performance and developer productivity. Qualifications 3+ years of applicable software engineering experience in backend or cloud-native application development. Strong fundamentals and hands-on experience in Python, FastAPI, and object-oriented backend development. Solid understanding of LLM, GenAI, RAG, and advanced prompt engineering techniques. Foundational knowledge of LLM/Agent frameworks such as LangChain, LangGraph, CrewAI, and Microsoft Agent Framework. Experience with RESTful APIs, microservices architecture, and message queue integrations (RabbitMQ, Apache Kafka, or equivalent). Good experience with databases, including strong SQL writing skills. Hands-on experience with unit testing, code coverage, and quality tools such as JUnit, Mockito, Sonar, or equivalent. Experience with instrumentation and monitoring tools (Graylog, Datadog, ELK, Splunk, or equivalent). Experience working with CI/CD pipelines, particularly Jenkins-based build, deploy, and test workflows. Exposure to Docker and cloud platforms; Microsoft Azure / Azure Foundry experience is a plus. Experience with fine-tuning LLM/SLM models is a plus. Strong conceptual understanding of converting prompts into accurate, high-quality generative outputs. Passion for learning, innovation, and continuous improvement. Excellent English communication skills, with the ability to effectively collaborate across technology teams and business stakeholders. Bachelor’s degree (B.S.) in Computer Science, Computer Engineering, or a related fiel Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion Career Site Team: Technology

Responsibilities

The role involves writing complex, high-quality code using Python and FastAPI to develop scalable, user-friendly applications, focusing on building and integrating LLM-powered solutions like RAG pipelines and agent workflows. Responsibilities also include participating in the full SDLC, ensuring quality through testing, and implementing observability tools.