Senior Gen AI developer
Senior Gen AI developer
Posted on :
18-09-2025
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1 Vacancy
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Job Description
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Required Information
Details
1
Role
Senior Generative AI developer
2
Required Technical Skill Set
NLP Vector Store Generative AI (Prompt Engineering Agent Based Architecture) SageMaker Bedrock Python LangChain Glue
3
No of Requirements
4
4
Desired Experience Range
8 years industry and 2 in NLP/Gen AI
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Location of Requirement
US NL IN
Must-Have
- Experience in AWS services is a must.
- Proven experience in end to end development.
- 3 Tier Architecture based Application Development
- Proven experience in search-related technologies (Elasticsearch Kendra Coveo) and any other vector store (Faiss AWS OpenSearch).
- Experience with back-end technologies (Python Langchain Django/Flask/FastAPI).
- Experience with cloud platforms (AWS).
- Knowledge of database technologies (SQL NoSQL Elastic/Solr).
- Strong knowledge of AWS services such as S3 DynamoDB DocumentDB Lambda Glue SageMaker Bedrock and Kendra.
- Experience in writing parsers to process unstructured data using AWS Textract.
- Must have experience in prompt engineering and prompt template management.
- Experience in developing agent frameworks.
- Experience with natural language processing (NLP).
- Python Gen AI Any Cloud and NLP must have skills with min 2 relevant years. Over all can be 6-8 years with IT Technical.
- RAG Architecture. RAG is a code to Fetch document
- Keyword: Gen AI and Prompt Engineering and RAG not mandatory.
- Pan India open 26 LPA
Good-to-Have
- Familiarity with DevOps practices and tools for CI/CD.
- Experience with service architecture.
- Experience in task-specific fine-tuning of LLMs.
- Exposure to generative AI guardrails.
- Knowledge of data governance and security best practices.
Responsibility of / Expectations from the Role
- Design and develop generative AI platforms and frameworks to accelerate use case development.
- Develop pipelines to parse documents chunk vectorize and persist vector stores.
- Design vector store schemas.
- Develop prompt templates with various prompt engineering techniques to interact with LLMs.
- Experience in prompting with few-shot examples.
- Develop semantic agents and interfaces between the agents.
- Develop microservices and expose them as APIs.
- Collaborate with architects and full-stack developers to deliver generative AI solutions.
- Implement best practices for data management and model deployment.
- Ensure the scalability and performance of generative AI solutions.
Employment Type
Full-time
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