Minfy Technologies
Principal Software Engineer
- Compensation
- Not disclosed
- Location
- Gurugram, HR, India
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
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
Full description
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
- Optional skills Machine Learning and Neural networks
- 10-12 years of professional experience in LLM, Agentic AI , AI/ML , Data science
- 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
- Ability to solve Complex AI problems in deployment and developement scenarios which will include coding and architecture, designing experience on AI/ML, DL, LLM, Agentic AI .
- Should be a good team mentor to mentor the junior guys on day to day basis
- Should have Above par communication skills to handle clients expectations, design discussions , UAT and escalation .
Generative AI & LLMs
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- 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 safetyAgentic AI (Growing Expertise)
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- 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: