AI Engineer, Data Scientist

Simpliigence

AI Engineer or Senior Data Scientist at Simpliigence building next-gen intelligent products. Architecting production-grade LLM applications and deploying AI models for investment research.

Posted 5/29/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSDockerPython

About the role

Key responsibilities & impact

Architect and ship production-grade LLM applications
Design RAG pipelines that actually work at scale
Collaborate closely with product and engineering to own problems end-to-end
Design, build, and deploy AI models, tools, and agents
Partner with the Head of Data & AI to define the technical architecture
Implement retrieval augmented generation (RAG) pipelines
Design and implement Model Context Protocol (MCP) integrations
Build and maintain MCP servers
Establish patterns for MCP host/client configuration, access control, and observability
Implement MLOps and LLMOps practices
Collaborate with data engineers and platform teams

Requirements

What you’ll need

5+ years of experience in IT Services
Core skills we need Python (expert)
LLMs & GenAI
RAG systems
Prompt engineering
AWS ML / MLOps
Vector DBs
Model versioning
REST APIs
Docker / containers
6+ years of hands-on Python
Proven experience building and shipping LLM-powered applications
Deep understanding of RAG
Strong prompt engineering skills
Hands-on AWS experience
Solid ML fundamentals
Comfortable with embedding models
Nice to have: Experience with agentic frameworks
Fine-tuning experience
Familiarity with evaluation frameworks
MLOps tooling

Benefits

Comp & perks

Professional development opportunities
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonLLMsGenAIRAG systemsPrompt engineeringAWS MLMLOpsVector DBsModel versioningREST APIs