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Gen AI Developer | WINIT
Gen AI Developer | WINIT
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Gen AI Developer | WINIT

Aishwarya SURENDRAN's profile picture
Posted by Aishwarya SURENDRAN
0 - 1 yrs
₹1L - ₹4L / yr
Hyderabad
Skills
Generative AI

Role Overview

We are looking for a skilled Generative AI Developer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and multimodal AI systems. The role involves building intelligent automation, chatbots, copilots, and content generation solutions aligned with business use cases.

Key Responsibilities

  • Design and develop applications using Generative AI models (LLMs, diffusion models, etc.)
  • Build AI chatbots, virtual assistants, and knowledge copilots
  • Integrate LLM APIs (OpenAI, Anthropic, Google, etc.) into web/mobile apps
  • Develop prompt engineering strategies for optimized outputs
  • Implement Retrieval-Augmented Generation (RAG) pipelines
  • Fine-tune and customize foundation models where required
  • Work with vector databases for semantic search
  • Collaborate with product, data, and engineering teams
  • Ensure AI solutions are scalable, secure, and cost-efficient
  • Monitor model performance, hallucinations, and output quality

Required Skills

  • Strong programming in Python
  • Experience with LLM frameworks (LangChain, LlamaIndex, Haystack)
  • Hands-on with OpenAI / Gemini / Claude APIs
  • Knowledge of Prompt Engineering
  • Experience with Vector Databases (Pinecone, Weaviate, FAISS, Chroma)
  • Understanding of RAG architectures
  • Familiarity with REST APIs and microservices
  • Knowledge of Docker / Cloud (AWS, Azure, GCP)

About our company:

We are an mSFA technology company that has evolved from the industry expertise we have gained over 25+ years. With over 600 success stories in mobility, digitization, and consultation, we are today the leaders in mSFA, with over 75+ Enterprises trusting WINIT mSFA across the globe.

Our state-of-the-art support center provides 24x7 support to our customers worldwide. We continuously strive to help organizations improve their efficiency, effectiveness, market cap, brand recognition, distribution and logistics, regulatory and planogram compliance, and many more through our cutting-edge WINIT mSFA application.

We are committed to enabling our customers to be autonomous with our continuous R&D and improvement in WINIT mSFA. Our application provides customers with machine learning capability so that they can innovate, attain sustainable growth, and become more resilient.

At WINIT, we value diversity, personal and professional growth, and celebrate our global team of passionate individuals who are continuously innovating our technology to help companies tackle real-world problems head-on.

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Full Stack Developer - Averlon
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About WINIT

Founded :
1997
Type :
Product
Size :
20-100
Stage :
Profitable

About

N/A

Company social profiles

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At SciSpace, we're using language models to automate and streamline research workflows from start to finish. And the best part? We're 

already making waves in the industry, with a whopping 5 million users 

on board as of November 2025! Our users love us too, with a 40% 

MOM retention rate and 10% of them using our app more than once 

a week! We're growing by more than 50% every month, all thanks to 

our awesome users spreading the word (see it yourself on Twitter). Andwith almost weekly feature launches since our inception, we're 

constantly pushing the boundaries of what's possible. Our team of 

experts in design, frontend, fullstack engineering, and machine learning

are already in place, but we're always on the lookout for new talent to help us take things to the next level. Our user base is super engaged and always eager to provide feedback, making Scispace one of the most advanced applications of language models out there.


We are looking for insatiably curious, always learning SDE 2 Fullstack Engineers. You could get a chance to work on the most important and challenging problems at scale.



Responsibilities:

* Work in managing products as part of SciSpace product suite.

* Partner with product owners in designing software that becomes part of researchers’ lives

* Model real-world scenarios into code that can build the SciSpace platform

* Test code that you write and continuously improve practices at SciSpace

* Arrive at technology decisions after extensive debates with other engineers

* Manage large projects from conceptualisation, all the way through deployments

* Evolve an ecosystem of tools and libraries that make it possible for SciSpace to provide reliable, always-on, performant services to our users

* Partner with other engineers in developing an architecture that is resilient to changes in product requirements and usage

* Work on the user-interface side and deliver a snappy, enjoyable experience to your users



Our Ideal Candidate would:

* Strong grasp of one high-level language like Python, JavaScript, etc.

* Strong grasp of front-end HTML/CSS, non-trivial browser-side JavaScript

* General awareness of SQL and database design concepts

* Solid understanding of testing fundamentals

* Strong communication skills

* Should have prior experience in managing and executing technology products.



Bonus:

* Prior experience working with high-volume, always-available web applications

* Experience in ElasticSearch.

* Experience in distributed systems.

* Experience working with a Start-up is a plus point.

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Pattern Agentix
at Pattern Agentix
2 candid answers
jaime benchimol
Posted by jaime benchimol
Remote only
1 - 10 yrs
₹8L - ₹13L / yr
Retrieval Augmented Generation (RAG)
skill iconPython
Generative AI
Large Language Models (LLM) tuning
Prompt engineering

Pattern Agentix (patternagentix.com) is seeking a computational bilogist to assume the role of Lead AI researcher to create advanced multi-agent AI systems leveraging cutting-edge AI research and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate should have a strong academic and research background in AI, demonstrated through published research papers, open-source contributions (e.g., GitHub).


Exposure to bioinformatics or some background in bioinformatics is a compulsory requirement. The candiate will apply computational techniques, mathematical models, and computer science skills to analyze and interpret complex biological data.



Required Skills & Experience


Master’s or Ph.D. in AI, Machine Learning, Computer Science, or a related field with some exposure to bioinformatics. 


Strong AI research background, demonstrated through peer-reviewed publications in top-tier AI/ML conferences or journals (e.g., NeurIPS, ICML, AAAI, CVPR, ACL, etc.).


Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).


Experience with multi-agent AI systems and their architectural design.



Project Scope


The project involves developing a sophisticated multi-agent system that:

that automates hypothesis generation in biomedical research using large bimedical research data sets..


We are open on compensation models but compensation will be aligned to local norms. We would consider part time or full time.


 


 

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