Salary
$42k – $51k per year
Location
In office (Gurgaon)
Seniority
Principal · 10+ years exp
Employment
Part-Time
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 24, 2026. Minfy Technologies scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Minfy Technologies is an Indian cloud and artificial intelligence services company founded in 2016 that works almost entirely within the Amazon Web Services ecosystem as a premier partner. Its work covers cloud migration and modernisation, data platform engineering, applied machine learning and managed cloud operations, sold to enterprises and public sector organisations across India, the Middle East, Southeast Asia and the United States. Headquartered in Hyderabad, it competes against the very large Indian systems integrators by concentrating on a single cloud platform in depth rather than trying to cover all of them shallowly.
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 experiencein 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 translatebusiness 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 developingLLM-powered applications usingAmazon 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 ofprompt engineering, prompt tuning, and output evaluation
- Understanding of commonLLM failure modes such ashallucinations and grounding issues
- Ability to evaluate LLM responses for accuracy, relevance, and safety
Agentic AI (Growing Expertise)
- Exposure toAgentic AI concepts and frameworks such asAgentCore
- Experience implementing:
- SimpleAutonomous agents or workflows
- Multi-step reasoning with predefined tools
- Familiarity withtool-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 keyAWS 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
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