Kumaran Systems
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Chennai · On-site · 3-6 Yrs · Sep 3
Computer Hardware Development · 1001 to 5000 Employees · Toronto, Canada
Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future — reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible. What Sets Kumaran Apart Client-First, Long-Term Focus: Many of our client relationships span over 20 years — built on trust, transparency, and shared outcomes. AI-Led Automation: We design intelligent, low-touch workflows that enhance productivity, accuracy, and digital self-reliance. Legacy Modernisation at Scale: Thousands of successful migrations executed with speed, precision, and minimal disruption. Cloud-Ready Transformation: Deep expertise in re-platforming and re-architecting for scalable, cloud-native performance. Enterprise QA Solutions: Our proprietary platforms — KTAC (Codeless Test Automation) and DQV (Data Quality Validation) — accelerate testing cycles and reduce production defects. Vertical Depth, Domain Insight: Solutions grounded in decades of experience tackling complex, industry-specific challenges and compliance requirements. Why Kumaran? We blend engineering discipline with AI innovation — helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration — with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems — we engineer future-ready transformations.
Hiring: Engineering
What employees say
+ Place for hard working people who want to shine.
− Great place to work 3 years in a row !
More reviews on the company profile.
Interview experience · Graduate Engineer Trainee
The interview was super smooth, had good exp with the interview process. resume shortlisting, online aptitude round, online coding round. tech interview, everything completed within a week, hr was very polite and schedul
Easy difficulty · India · 119 reports
More interview insightsJob description
Overview
AI Engineer – Python & Generative AI
Responsibilities
- Design, develop, and deploy AI/ML models and Generative AI applications using Python.
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs with vector databases.
- Fine-tune and prompt-engineer LLMs (OpenAI, Mistral, Gemini, LLaMA, etc.) for specific business use cases.
- Develop AI agents/chatbots and integrate them with enterprise applications and APIs.
- Work with frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers for GenAI solution development.
- Collaborate with cross-functional teams (Product, Data Engineering, DevOps) to build scalable AI solutions.
- Implement and manage vector databases (Pinecone, Chroma, FAISS, Weaviate, etc.).
- Conduct model evaluation, testing, and performance optimization for accuracy and latency.
- Stay updated with the latest advancements in AI/ML and Generative AI technologies and recommend adoption where relevant.
- Ensure best practices in code quality, version control, and documentation.
Qualifications
- Location: Chennai
- Work Mode: Work From Office
- Employment Type: Full-Time
- Function: Artificial Intelligence / Engineering
- About the Role
- We are looking for a skilled AI Engineer with strong hands-on experience in Python and Generative AI technologies to design, build, and deploy intelligent AI-driven solutions. The ideal candidate will have a solid foundation in machine learning concepts along with practical exposure to LLMs, RAG pipelines, and AI application development.
- 3–6 years of overall experience in AI/ML engineering, with strong proficiency in Python.
- Hands-on experience with Generative AI / LLMs (OpenAI GPT, Google Gemini, Anthropic Claude, Mistral, LLaMA, etc.).
- Practical experience with RAG architecture, prompt engineering, and LLM fine-tuning.
- Familiarity with AI/ML frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow/PyTorch.
- Strong understanding of NLP, Machine Learning, and Deep Learning concepts.
- Familiarity with REST APIs, containerization (Docker), and basic MLOps practices.
- Good understanding of SQL/NoSQL databases.
- Strong analytical, problem-solving, and communication skills.
- Exposure to Kubernetes and CI/CD pipelines.
- Prior experience in building chatbots, virtual assistants, or automation solutions.
- Knowledge of AI governance, responsible AI, and model evaluation frameworks.
Education
- Bachelor's/Master's degree in Computer Science, Information Technology, AI/ML, or a related field.
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Job application FAQ
Last updated 17 September 2026
- How do I apply for AI Engineer-Python & Generative AI at Kumaran Systems?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Kumaran Systems may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Engineer-Python & Generative AI remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this AI Engineer-Python & Generative AI role at Kumaran Systems?
- This is a mid-level AI Engineer-Python & Generative AI role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.