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Urgent! AI Engineer (Backend) - Python Job | Edstem Technologies
We are building the next generation of AI-powered applications that deliver actionable financial and marketing insights to our clients.
As an AI Engineer focused on backend development, you'll be instrumental in designing and developing multiple agentic AI applications that integrate with data lakehouses and business intelligence platforms.
This is not a single-project role.
You'll work on a pipeline of AI-driven solutions across various use cases, all built on a common architecture leveraging cutting-edge LLM technologies, agentic frameworks, and cloud infrastructure.
What You'll Build
Agentic chatbot applications Agentic chatbot applications with conversational UI for financial and marketing insights
RAG-based systems RAG-based systems that intelligently retrieve and synthesize information from enterprise data sources
MCP (Model Context Protocol) integrations MCP (Model Context Protocol) integrations for tool calling and external system interactions
Real-time visualization generation Real-time visualization generation including graphs, charts, and dynamic dashboards
Sandboxed code execution environments Sandboxed code execution environments for safe AI-generated code runs
LLM benchmarking systems LLM benchmarking systems to evaluate and switch between models (AWS Bedrock, Azure AI Foundry) as new versions emerge
Data integration pipelines Data integration pipelines connecting to SQL-based data lakehouses and Tableau dashboards
Key Responsibilities
Development
Design and develop Python backend services using FastAPI FastAPI for AI-powered applications
Implement agentic workflows using LangChain LangChain and/or Azure AI agentic frameworks like AutoGen Azure AI agentic frameworks like AutoGen
Build and maintain RAG systems for context-aware AI responses
Develop MCP servers and integrations for tool calling and external API interactions
Create sandboxed execution environments for AI-generated code and visualizations
Data & SQL
Write efficient SQL queries against data lakehouses to retrieve business insights
Integrate with Tableau dashboards and other BI platforms
Optimize data retrieval patterns for LLM context windows
AI/ML Operations
Build benchmarking systems to evaluate LLM performance across different models and providers Implement model switching logic to automatically use the most efficient/effective LLM
Monitor and optimize token usage, costs, and response latency
Work with AWS Bedrock and Azure AI Foundry for model deployment
DevOps & Deployment
Containerize applications using Docker
Deploy and manage services in Kubernetes (K8s) clusters
Build and maintain GitLab CI/CD pipelines for automated testing and deployment
Ensure scalability, reliability, and security of production systems
Collaboration
Work directly with US-based clients to understand requirements and deliver solutions
Collaborate with frontend developers (React), data engineers, and architects
Participate in technical design discussions and architectural decisions
Document code, APIs, and system architecture clearly
Required Qualifications
Technical Skills
3+ years of professional Python development experience
Strong SQL skills with experience querying databases or data lakehouses
Experience with FastAPI or similar Python web frameworks (Flask, Django)
Hands-on experience with AWS Bedrock or Azure AI services
Familiarity with Docker containerization
Experience with Kubernetes (K8s) deployments
Proficiency with Git and GitLab CI/CD or similar CI/CD tools
Understanding of RESTful API design and development
AI/ML Experience
Working knowledge of LLM technologies (GPT, Claude, Llama, etc.)
Experience with prompt engineering and LLM application development
Familiarity with LangChain, AutoGen, Azure AI frameworks, or similar agentic/orchestration frameworks Understanding of RAG (Retrieval-Augmented Generation) patterns
Soft Skills
Excellent English communication skills (written and verbal) for US client interaction
Ability to work autonomously and complete tasks with minimal supervision
Strong problem-solving skills and attention to detail
Self-motivated with ability to manage priorities and deadlines
Preferred Qualifications
Experience with React or frontend development (bonus, not required)
Familiarity with Tableau or other BI platforms
Experience with data lakehouses (Databricks, Snowflake, etc.)
Knowledge of Model Context Protocol (MCP) or similar tool-calling frameworks
Experience building benchmarking or evaluation systems for ML models
Background in financial services or marketing analytics
Contributions to open-source AI/ML projects
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Great news! Edstem Technologies is currently hiring and seeking a AI Engineer (Backend) Python to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Edstem Technologies adheres to the cultural norms as outlined by Expertini.
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