Build and integrate LangChain & LangGraph based workflows for LLM-powered applications
Work with Vector Databases for embedding storage and similarity search
Assist in developing retrieval-augmented generation (RAG) pipelines
Write clean testable and well-structured code
Collaborate with senior engineers on AI/ML solution design
Participate in code reviews and contribute to engineering best practices
Requirements
1 years of experience in software development
Proficiency in Python (core language data libraries NumPy Pandas)
Working knowledge (C# Core Web API)
Hands-on experience with LangChain and LangGraph for building LLM chains and agent workflows
Understanding of Vector Databases indexing querying and embedding management
Familiarity with REST APIs Git and CI/CD basics
Basic understanding of LLMs prompt engineering and embedding models
Nice to Have
Exposure to cloud platforms (Azure AWS or GCP)
Familiarity with Docker/containerization
Understanding of RAG architecture patterns
Basic knowledge of ML concepts (supervised/unsupervised learning)
Required Skills:
Requirements: 3 years of experience in software development. Involved in end-to-end software development life cycle. Strong C and Data Structures Object Oriented Programming Design Patterns and WIndows based projects. Familiar with cross-platform application development using Visual Studio Outstanding programming debugging and problem-solving skills Experience with Jira and ownership of assigned tasks Be proactive and take keen interest in grabbing opportunities. Good in verbal and written communication. Preferred Qualification: B.E
Required Education:
BE
Develop and maintain applications using Python Build and integrate LangChain & LangGraph based workflows for LLM-powered applicationsWork with Vector Databases for embedding storage and similarity searchAssist in developing retrieval-augmented generation (RAG) pipelinesWrite clean testable and well-...
Develop and maintain applications using Python
Build and integrate LangChain & LangGraph based workflows for LLM-powered applications
Work with Vector Databases for embedding storage and similarity search
Assist in developing retrieval-augmented generation (RAG) pipelines
Write clean testable and well-structured code
Collaborate with senior engineers on AI/ML solution design
Participate in code reviews and contribute to engineering best practices
Requirements
1 years of experience in software development
Proficiency in Python (core language data libraries NumPy Pandas)
Working knowledge (C# Core Web API)
Hands-on experience with LangChain and LangGraph for building LLM chains and agent workflows
Understanding of Vector Databases indexing querying and embedding management
Familiarity with REST APIs Git and CI/CD basics
Basic understanding of LLMs prompt engineering and embedding models
Nice to Have
Exposure to cloud platforms (Azure AWS or GCP)
Familiarity with Docker/containerization
Understanding of RAG architecture patterns
Basic knowledge of ML concepts (supervised/unsupervised learning)
Required Skills:
Requirements: 3 years of experience in software development. Involved in end-to-end software development life cycle. Strong C and Data Structures Object Oriented Programming Design Patterns and WIndows based projects. Familiar with cross-platform application development using Visual Studio Outstanding programming debugging and problem-solving skills Experience with Jira and ownership of assigned tasks Be proactive and take keen interest in grabbing opportunities. Good in verbal and written communication. Preferred Qualification: B.E