Data Scientist

Minfy; Hyderabad; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Minfy is seeking an AI Engineer to design and deliver LLM-powered applications on AWS Bedrock, focusing on agentic AI, RAG pipelines, and secure cloud architectures. You will translate business needs into data-driven solutions and collaborate with product, engineering, and analytics teams.

The ideal candidate will have a 3–5 year track record in LLM/Agentic AI, hands-on Bedrock experience, DynamoDB, Lambda, vector databases, and strong Python and API skills for fast-evolving AI projects.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Strong academic foundation in statistics, probability, and LLM and Agentic AI and AWS Bedrock Experience
• Machine Learning and Neural networks required
• 3-5 years of professional experience in LLM, Agentic AI
• All aspects of BEDROCK, use of security APIs from AWS, Dynamo DB, Experience in Claude LLMs
• Experience working on end-to-end Bedrock workflows
• Ability to translate business and product requirements into data-driven solutions

Responsibilities

• Hands-on experience developing LLM-powered applications using Amazon Bedrock or similar platforms
• Experience building or contributing to Retrieval-Augmented Generation (RAG) pipelines, including document ingestion and chunking
• Embedding generation and similarity search using vector databases
• Prompt engineering, prompt tuning, and output evaluation
• Understanding and mitigating LLM failure modes such as hallucinations and grounding issues
• Evaluate LLM responses for accuracy, relevance, and safety
• Agentic AI concepts: simple autonomous agents or workflows, tool-calling, and workflow automation

Skills

Python programming

APIs

Cross-functional teamwork

Learning agility

Prompt engineering

Education

Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field

Tools

AWS Bedrock

DynamoDB

S3

Lambda

Redshift

IAM

Azure

GCP

Vector databases

Job description

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Strong academic foundation in statistics, probability, and LLM and Agentic AI and AWS Bedrock Experience
• Machine Learning and Neural networks required
• 3-5 years of professional experience in LLM, Agentic AI
• All aspects of BEDROCK, use of security APIs from AWS, Dynamo DB, Experience in Claude LLMs
• Experience working on end-to-end Bedrock workflows
• Ability to translate business and product requirements into data-driven solutions

Job Description

AI Engineer

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Strong academic foundation in statistics, probability, and LLM and Agentic AI and AWS Bedrock Experience
• Machine Learning and Neural networks required
• 3-5 years of professional experience in LLM, Agentic AI
• All aspects of BEDROCK, use of security APIs from AWS, Dynamo DB, Experience in Claude LLMs
• Experience working on end-to-end Bedrock workflows
• Ability to translate business and product requirements into data-driven solutions

Generative AI & LLMs

• Hands-on experience developing LLM-powered applications using Amazon Bedrock or similar platforms
• Experience building or contributing to Retrieval-Augmented Generation (RAG) pipelines, including:
• Document ingestion and chunking
• Embedding generation
• Similarity search using vector databases
• Practical knowledge of prompt engineering, prompt tuning, and output evaluation
• Understanding of common LLM failure modes such as hallucinations and grounding issues
• Ability to evaluate LLM responses for accuracy, relevance, and safety

Agentic AI (Growing Expertise)

• Exposure to Agentic AI concepts and frameworks such as AgentCore
• Experience implementing:
• Simple Autonomous agents or workflows
• Multi-step reasoning with predefined tools
• Familiarity with tool-calling, agent orchestration, and workflow automation
• Understanding the importance of:
• Guardrails
• Human-in-the-loop mechanisms
• Logging and observability for agent behavior

Cloud Platform

• Working knowledge of key AWS services, including:
• S3, Lambda, Redshift, IAM, S3, AWS WAF, Query handler , Lambda
• Preferred Knowledge on MS Azure and GCP

Professional & Collaboration Skills

• Strong Python programming skills and experience working with APIs
• Ability to work effectively in cross-functional teams (product, engineering, analytics)
• Willingness to learn quickly in a fast-evolving AI landscape ( flexibility and learning attitude )
• Comfortable taking technical guidance and implementing feedback
• Clear communication of findings, limitations, and model behavior to non-technical stakeholders

Nice to Have

• Initial exposure to AI governance, compliance, or ethical AI practices
• Experience with monitoring LLM outputs and basic evaluation frameworks
• Certifications in AWS Bedrock Gen AI Developer Professional, Machine Learning, or Data Science; Certified Claude AI Architect ( foundation)