Associate Data Scientist (Associate AI Engineer) at Minfy
Listed by DevShelfHub
About the Role
Minfy is hiring an Associate Data Scientist to build LLM-powered applications on Amazon Bedrock, develop RAG pipelines, and implement agentic AI workflows in a fast-evolving AI landscape.
Ideal for early-career professionals with hands-on Bedrock, Claude LLMs, and multi-agent workflow experience.
Position Overview
Build LLM-powered applications using Amazon Bedrock, contribute to RAG pipelines, and grow expertise in agentic AI frameworks. Evaluate LLM responses for accuracy, relevance, and safety while collaborating with product, engineering, and analytics teams.
What you'll do
- Develop LLM-powered applications using Amazon Bedrock or similar platforms
- Build RAG pipelines including ingestion, chunking, embeddings, and similarity search
- Apply prompt engineering, prompt tuning, and output evaluation
- Deploy multi-agent workflows with tool-calling and orchestration
- Implement guardrails, human-in-the-loop mechanisms, and observability
- Work with AWS services including S3, Lambda, Redshift, IAM, and WAF
- Collaborate cross-functionally and communicate findings to stakeholders
What we're looking for
- Bachelor's degree in quantitative or technical field
- 1.5–2 years AI/ML, LLM, or Agentic AI professional experience
- Hands-on Amazon Bedrock and Claude LLM experience
- Strong Python and API development skills
Eligibility Criteria
- Bachelor's degree in quantitative or technical field
- 1.5–2 years AI/ML, LLM, or Agentic AI professional experience
- Hands-on Amazon Bedrock and Claude LLM experience
- Strong Python and API development skills
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Hands-on Bedrock and GenAI production experience early in career
- End-to-end RAG and agentic AI workflow exposure
- Fast-learning environment in evolving AI landscape
- Cross-functional collaboration with product and engineering teams
- Build multi-agent and prompt engineering skills
- AWS cloud platform experience with Bedrock ecosystem
- Opportunity in computer vision and product solutions (preferred)
- AWS Bedrock Gen AI Developer certification pathway
Frequently Asked Questions
What experience is required?
1.5–2 years professional experience in AI/ML, LLM, Agentic AI, and prompt engineering.
Which cloud platform is used?
Amazon Web Services with focus on Bedrock, S3, Lambda, Redshift, IAM, and DynamoDB.
What GenAI skills are needed?
RAG pipelines, prompt engineering, multi-agent workflows, and LLM evaluation for hallucinations and grounding.
Is agentic AI experience required?
Exposure to Agentic AI concepts, tool-calling, orchestration, and guardrails is expected.
What programming language is used?
Python with API integration experience.
Are certifications helpful?
AWS Bedrock Gen AI Developer Professional, Machine Learning, or Data Science certifications are nice to have.
Why Join Minfy?
- ★ Work on cutting-edge GenAI and Bedrock solutions
- ★ Grow agentic AI and RAG expertise in production contexts
- ★ Collaborative cross-functional team environment
- ★ Fast-evolving AI landscape with learning opportunities
- ★ Build end-to-end Bedrock workflows
- ★ Early-career impact on enterprise AI products
About Minfy
- Industry
- Technology
- Company Size
- 500+
- Website
- minfy.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 1–5 years
- Location
- India
- Work Mode
- Hybrid
- Category
- AI / ML
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