
Job Descriptions:
1. Job Requirement
We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus.
Responsibilities:
- Develop and deploy GenAI-based applications to solve complex business problems.
- Implement RAG frameworks to enhance information retrieval and response accuracy.
- Design and optimize document chunking strategies tailored to specific data types and use cases.
- Build and manage data embeddings using various vector databases for high-performance similarity searches.
- Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
- Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
- Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.
2. Required Technical Skillsets
Mandatory Skills:
- Proficiency in Generative AI frameworks and technologies like
- Prompt Engineering – creating specific prompts to guide LLM outputs
- Fine Tuning and Few-Shot learning – Adapting LLMs for domain-specific tasks.
- Retrieval-Augmented Generation (RAG) – Combining LLMs with external data retrieval systems
- Text-to-Text Transfer Transformation (T5) – Framework for translating tasks into text forms.
- Expertise in designing and implementing chunking strategies for diverse datasets.
- Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
- Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
- Experience with API integration for AI services and building scalable applications.
Desirable Skills:
- Hands-on experience with Amazon Bedrock and/or Microsoft Azure OpenAI services.
- Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine-tuning.
- Exposure to different chunking strategies, including overlap and semantic segmentation.
- Understanding of DevOps practices for deploying and managing AI models in production.
- Strong problem-solving and analytical skills with a focus on delivering value-driven solutions.

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- Spent at least 3 yrs in a solid back end role
- Experience taking a problem to a product solution (module/product)
- Prior experience working with startups and understand the fast-paced, dynamic nature of work
- Javascript, NodeJS
- Client-server architecture
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- Prior experience in fin-tech
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1. Responsible for making outbound calls and understanding the needs of the market.
2. Build a strong relationship / trust with our users.
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4. Sell membership over the phone and achieve the targeted sales numbers & value, set quality parameters.
5. Understand the customer requirements, encourage them to upgrade our plans.
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8. Strictly adhere to the process requirements.
Required Candidate profile:-
- Language skills - English / Hindi.
- Product Knowledge.
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- Great interpersonal and communication skills.
- High levels of integrity, autonomy, and self-motivation
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We’re looking for a team player, who is motivated by delivering great work. Some of the skills and experience we look for includes:
- Builds and maintains relationship with talent pool in regional markets
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- Manages candidate database, including resumes and applications
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- Provides inputs on recruiting operations and execution improvements to Talent Acquisition Lead and Talent Acquisition COE
- Employee need to attend the calls and help the existing customer with there queries .
- There are no Targets
- No sales
- Inbound Process.
Facility :
- Pick and drop
- Rotational Shifts
- Rotational offs
- Bank Holidays offs
Sumit Kumar
Human Resources
Wishfin








