Principal Software Engineer

Minfy; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Minfy in Hyderabad, India, seeks a senior AI/ML architect to lead end-to-end Bedrock deployments and LLM-driven solutions. You will translate business needs into data-driven AI products and mentor junior team members across projects.

You will work hands-on with Bedrock, RAG pipelines, and AWS services, applying Python skills, cross‑functional collaboration, and thoughtful evaluation of model outputs for accuracy and safety.

Qualifications

• 10-12 years of professional experience in LLM, Agentic AI, AI/ML, Data science.
• Bachelor’s or Master’s degree in CS/DS/Statistics/Math.
• Hands-on with Bedrock workflows and AWS security APIs.
• Experience with Retrieval-Augmented Generation (RAG) pipelines.
• Prompt engineering, tuning, and output evaluation.
• Experience with agentic AI concepts and frameworks like AgentCore.
• Strong Python programming and API experience.

Responsibilities

• Mentor junior team members on day-to-day basis.
• Translate business requirements into data-driven AI solutions.
• Handle client expectations, design discussions, UAT, and escalation.
• Develop and optimize end-to-end Bedrock workflows.
• Evaluate LLM outputs for accuracy, safety, and relevance.

Skills

Python

Mentoring teammates

Client communication

Prompt engineering

Cross-functional collaboration

Education

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

Tools

AWS Bedrock

DynamoDB

Claude LLMs

S3

Lambda

Redshift

IAM

AWS WAF

Query handler

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

• 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
• 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
• Working knowledge of key AWS services, including:
• 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