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.
AI Engineer
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
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
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
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)
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