Minfy Technologies
From Minfy Technologies's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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
Optional skills Machine Learning and Neural networks
4 -6 years of professional experience in LLM, Agentic AI
All aspects of BEDROCK, use of security APIs from AWS, Dynamo DB, Experience in Claude LLMs
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
Multi agent workflow deployment experience
Understanding of common LLM failure modes such as hallucinations and grounding issues
Ability to evaluate LLM responses for accuracy, relevance, and safety
Experience on AI/ML and computer vision is preferred
Experience on pre sales on AI such as RFP response , Solution Architecture design , BOQ ( Hardwares and Softwares ) is required
Experience on product and solutions is preferred.
Agentic AI (Growing Expertise)
Exposure to Agentic AI concepts and frameworks such as AgentCore
Simple Autonomous agents or workflows
Multi-step reasoning with predefined tools
Familiarity with tool-calling, agent orchestration, and workflow automation
Guardrails
Human-in-the-loop mechanisms
Logging and observability for agent behavior
S3, Lambda, Redshift, IAM, S3, AWS WAF, Query handler , Lambda
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 Professiona, Machine Learning, or Data Science
Prior experience in enterprise or cloud-native environments
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