Senior Generative AI & Full Stack Engineer

Senior Generative AI & Full Stack Engineer

Job Location: Pune

Location Flexibility: Primary Location Only

Req Id: 4493

Posting Start Date: 12/12/25

Role: Senior Generative AI & Full Stack Enginee

rExperience: 5+yr

sShifts: 8am- 5pm IST

.Work Location: Pun

e

1. List of Ski

llsCategory Ski

llsStrong Expertise- Python Programm

ing- Machine Learning & Deep Learn

ing- Natural Language Processing (N

LP)- Generative AI Solution Developm

ent- Full Stack Development (Frontend + Backe

nd)- Model Fine-Tuning & Optimizat

ion- MLOps & CI/CD Pipeli

nes- Data Science & Statist

icsBasic Proficiency- Conversational AI (Chatbots, LangChain, AutoG

en)- Data Engineering & Processing (Spark, Pandas, NumPy, PyTorch, TensorFl

ow)- Cloud AI Platforms (AWS, Azu

re)- API Development & Integrat

ionKnowledge Only- Open-source AI contributi

ons- Software Design Princip

les- AI Ethics & Bias Mitigat

ion- Agile/Scrum Development Practi

ces
2. Primary Sk

1. illsGenerative AI & Large Language Model (LLM) based Solution Develop
2. mentDesign, develop, and fine-tune cutting-edge generative AI models, including open-source LLMs, for real-world, scalable applicati
3. ons.Natural Language Processing (
4. NLP)Apply NLP techniques for tasks like text generation, summarization, translation, entity recognition, and sentiment analysis using frameworks like Hugging Face, spaCy, and OpenAI
5. GPT.Full Stack Develop
6. mentDesign and implement scalable end-to-end applications integrating AI models using modern front-end (React, Angular, etc.) and back-end (FastAPI, Django, Node.js) technolog
7. ies.Python Programming for AI & Web Applicat
8. ionsLeverage Python for both AI algorithm development and backend services, ensuring seamless integration between machine learning models and application lo
9. gic.Machine Learning & Deep Lear
10. ningApply supervised, unsupervised, and reinforcement learning techniques using libraries such as Scikit-learn, TensorFlow, and PyTo
11. rch.Model Fine-Tuning & Optimiza
12. tionCustomize pre-trained models with domain-specific data, improving accuracy and efficiency in inference workfl
13. ows.ML Ops & Production-Ready AI Deploy
14. mentBuild and manage robust ML Ops pipelines including Docker, Kubernetes, and CI/CD for continuous deployment, monitoring, and model managem

ent.
3. Secondary S

1. killsConversational AI & Chatbot Frame
2. worksDevelop AI-powered virtual assistants using LangChain, AutoGen, or similar libraries to meet enterprise conversational requirem
3. ents.Cloud AI Platform Integr
4. ationDeploy and scale applications using cloud platforms such as Azure, or AWS for secure, high-performance model hos
5. ting.Data Engineering & Preproce
6. ssingCollaborate with data engineers to process and manage large datasets with tools like Apache Spark, Pandas, and SQL for training and evalua
7. tion.API Development & Integr
8. ationBuild RESTful APIs to expose AI capabilities and enable seamless integration with business systems and UI compon
9. ents.AI Research, Innovation & Open-Source Contrib
10. utionStay updated with the latest trends in generative AI and contribute to open-source AI projects to stay ahead in innovation and de
11. sign.AI Ethics & Bias Mitig
12. ationAwareness of ethical AI design and practices to ensure responsible AI deployments and fair model behaviour in production environm

ents.

Relocation Suppor

ted: NoVisa Sponsorship Appro