to design, develop, and optimize scalable applications with a focus on
LLM-powered agentic workflows
. The role involves building intelligent systems leveraging frameworks such as
LangChain
and
LangGraph
, implementing multi-step reasoning pipelines, prompt chaining, memory management, and seamless tool integration. The ideal candidate will bring strong backend expertise, hands-on experience with AI frameworks, and the ability to collaborate across product, DevOps, and AI/ML teams.
Key Responsibilities
Application Development:
Build and maintain scalable Python applications focused on LLM-powered agentic workflows using LangChain and LangGraph.
API & Database Integration:
Develop RESTful APIs (FastAPI/Flask) and integrate with relational and NoSQL databases.
Automate workflows to improve efficiency and reliability.
Collaboration:
Work cross-functionally with product, AI/ML, and DevOps teams to deliver intelligent systems.
Code Quality:
Write optimized, maintainable, and well-documented code following best practices.
Agile Practices:
Contribute within an agile environment ensuring performance, quality, and delivery timelines.
Continuous Learning:
Stay updated with LLM frameworks, agentic patterns, and AI trends.
Standards & Compliance:
Ensure adherence to coding, architectural, and security guidelines.
Required Skills & Experience
6+ years of hands-on Python development experience
, with proven expertise in scalable, high-performance applications.
Proficiency with
FastAPI, Flask, Django
for intelligent backend development.
Strong understanding of
LangChain, LangGraph
, and building agentic workflows (prompt chaining, memory management, reasoning pipelines).
Experience with
RESTful APIs
and integration across services/tools.
Database expertise:
Oracle 19c/23AI, PostgreSQL, MySQL, MongoDB
.
Hands-on experience with
Docker, Kubernetes
for microservices deployment.
Experience with
cloud platforms (AWS/Azure)
for scalable AI application deployment.
Familiarity with
DevOps practices, CI/CD pipelines, and Git
for version control.
Knowledge of
asynchronous programming
and event-driven architectures.
Strong debugging, performance optimization, and troubleshooting skills.
Exposure to frontend frameworks (
React, Angular, Vue.js
) for full-stack integration understanding.
Familiarity with AI/ML libraries such as
NumPy, Pandas, Scikit-learn, TensorFlow
.
Excellent problem-solving, analytical thinking, and communication skills.
Preferred Skills
Experience in building distributed AI pipelines.
Ability to integrate modern AI frameworks enabling autonomous agent behavior.
Prior work with scalable, production-grade AI/LLM applications.
Job Type: Contractual / Temporary
Contract length: 6 months
Pay: ₹80,000.00 - ₹100,000.00 per month
Experience:
Python Developer: 10 years (Required)
Banking: 10 years (Required)
LLM: 10 years (Required)
LangChain: 10 years (Required)
LangGraph: 10 years (Required)
FastAPI: 9 years (Required)
Flask: 10 years (Required)
Django: 10 years (Required)
Restful API: 10 years (Required)
Oracle 19C: 10 years (Required)
PostgreSQL: 10 years (Required)
MySQL: 10 years (Required)
MongoDB: 10 years (Required)
Docker: 10 years (Required)
AWS: 10 years (Required)
Work Location: Remote
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