Python, Gen AI at VY SYSTEMS PRIVATE LIMITED · Bengaluru (Bangalore) · 4 - 15 years · ₹5L - ₹25L / yr · Profitable · Posted 7 Oct 2026
PythonRole Overview
We are looking for a skilled Python Full Stack / Agentic AI Engineer to design, develop, and deploy AI-powered applications and intelligent agentic workflows. The ideal candidate should have strong expertise in Python, FastAPI, LLMs, RAG, LangChain/LangGraph, and modern full-stack development.
You will work on building scalable backend services, integrating Large Language Models, developing AI agents, implementing Retrieval-Augmented Generation (RAG) pipelines, and creating production-ready AI applications.
Key Responsibilities
- Design and develop scalable backend applications using Python and FastAPI.
- Build and deploy Agentic AI solutions using LLMs and agent frameworks.
- Develop multi-step and multi-agent workflows using LangChain and LangGraph.
- Design and implement RAG (Retrieval-Augmented Generation) pipelines.
- Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source models.
- Develop prompt engineering strategies and structured LLM workflows.
- Work with vector databases and embedding models for semantic search and knowledge retrieval.
- Build APIs and microservices for AI-powered applications.
- Integrate AI services with databases, third-party APIs, and enterprise systems.
- Develop conversation memory, tool calling, function calling, and agent orchestration capabilities.
- Implement evaluation, monitoring, logging, guardrails, and error handling for AI applications.
- Optimize applications for performance, scalability, reliability, and cost.
- Collaborate with product managers, frontend developers, data engineers, and other stakeholders.
- Write clean, maintainable, well-tested, and production-ready code.
- Participate in architecture discussions, code reviews, testing, and deployment activities.
Required Skills
Programming & Backend
- Strong proficiency in Python.
- Hands-on experience with FastAPI, REST APIs, and backend development.
- Strong understanding of asynchronous programming, API design, authentication, and middleware.
- Experience with SQL/NoSQL databases.
Generative AI / Agentic AI
- Strong understanding of LLMs and Generative AI.
- Hands-on experience building AI Agents / Agentic AI applications.
- Experience with LangChain and/or LangGraph.
- Knowledge of agent orchestration, tool calling, function calling, memory, and workflow management.
- Strong understanding of prompt engineering.
RAG
- Experience designing and implementing RAG architectures.
- Knowledge of document ingestion, chunking, embeddings, vector search, retrieval, reranking, and response generation.
- Experience with vector databases such as FAISS, Chroma, Pinecone, Weaviate, Qdrant, or similar.
LLM & AI Integration
- Experience integrating commercial or open-source LLMs.
- Understanding of embeddings, context windows, temperature, token usage, and model selection.
- Experience with structured outputs and LLM-based workflows.
- Familiarity with LLM evaluation and observability is a plus.
Full Stack
- Working knowledge of HTML, CSS, JavaScript/TypeScript.
- Experience with React.js or similar frontend frameworks is preferred.
- Ability to integrate frontend applications with Python/FastAPI services.
Shubham Vishwakarma
Full Stack Developer - Averlon
About VY SYSTEMS PRIVATE LIMITED
About
Vy Systems is a Global Technology consulting, Solutions, and Managed Technology Services company. We service our customers with ‘RESPONSIVENESS’ as a key factor and we believe that timely response to any transaction increases the operational efficiency and accelerates the revenue and profitability to our customers.
The Company is founded and managed by a team of professionals having more than two+ decades of global experience in the business of Technology Consulting and Services.
Tech stack
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PythonJob Description:
We are looking for a skilled Python + Agentic AI Developer with hands-on experience in Python programming, Generative AI, and AI agent development. The candidate should have knowledge of building AI-powered applications, integrating Large Language Models (LLMs), and developing intelligent solutions using AI frameworks.
Primary & Mandatory Skills:
- Python Programming
- Agentic AI / AI Agents
- Generative AI (GenAI)
- Large Language Models (LLMs)
- AI-powered Application Development
Good to Have:
- LangChain / LangGraph
- RAG (Retrieval-Augmented Generation)
- FastAPI / REST APIs
- Prompt Engineering
Experience: 4 Years
Location: Bangalore (BGL)
PythonRole Overview
We are looking for a Python Developer with strong experience in Generative AI and LLM-based applications. The candidate should have hands-on experience building AI solutions using Python, RAG, LangChain/LangGraph, and related GenAI technologies.
Mandatory Skills
Python, GenAI/LLM, RAG, LangChain/LangGraph, Agentic AI, FastAPI, REST API, Vector Database, Prompt Engineering, Microservices
Key Responsibilities
- Develop and maintain applications using Python and modern frameworks.
- Build GenAI/LLM-based applications and solutions.
- Develop RAG pipelines using vector databases.
- Work with LangChain/LangGraph for LLM and agent-based applications.
- Develop and integrate REST APIs using FastAPI.
- Implement Agentic AI workflows and AI-powered features.
- Integrate LLMs with existing applications and microservices.
- Apply prompt engineering techniques to improve AI application performance.
PythonRole: Python + Agentic AI Engineer
We are looking for an experienced Python + Agentic AI Engineer with strong expertise in developing AI-powered applications and autonomous agent-based solutions.
Key Skills / Requirements:
• Strong hands-on experience in Python
• Experience with Agentic AI / AI Agents
• Hands-on with LangChain / LangGraph or similar agent frameworks
• Experience with Generative AI and LLMs
• Strong understanding of RAG (Retrieval-Augmented Generation) and Vector Databases
• Experience developing REST APIs using FastAPI
• Knowledge of Multi-Agent Systems, Tool/Function Calling and Agent Workflows
• Experience integrating LLMs with enterprise applications/APIs
• Exposure to cloud-based AI services is an advantage
Preferred Profile: Python Developer / AI Engineer / Generative AI Engineer / Agentic AI Engineer with hands-on experience building production-ready AI solutions.
React.jsPythonJob Description
We are looking for an experienced Python Full Stack – GenAI / Agentic AI Engineer with 7+ years of experience in software development and strong hands-on expertise in Python backend development, React JS, Generative AI, and Agentic AI.
The ideal candidate should have experience building scalable backend services, modern web applications, and AI-powered applications using LLMs, RAG, agentic frameworks, and cloud platforms.
Key Responsibilities
- Design, develop, and maintain scalable backend applications using Python.
- Develop robust REST APIs and microservices using FastAPI, Flask, or Django.
- Design API architecture, authentication mechanisms, error handling, and integrations.
- Develop responsive and interactive frontend applications using React JS.
- Work with React components, hooks, state management, and API integrations.
- Build and integrate Generative AI and Agentic AI applications using LLMs.
- Develop AI agents using frameworks such as LangChain and LangGraph.
- Implement RAG, embeddings, vector search, tool calling, memory, planning, and reasoning.
- Design and implement multi-agent systems and AI workflows.
- Apply prompt engineering techniques and appropriate guardrails for AI applications.
- Integrate AI applications with cloud-based AI platforms and services.
- Deploy applications using containers and cloud platforms.
- Work with CI/CD pipelines and application monitoring.
- Collaborate with cross-functional teams to design and deliver scalable solutions.
Required Skills
- 7+ years of overall software development experience.
- Strong hands-on experience in Python.
- Strong experience with FastAPI and REST API development.
- Experience with microservices architecture and API design.
- Hands-on experience with React JS.
- Strong experience in Generative AI / LLM applications.
- Hands-on experience in Agentic AI development.
- Experience with LangChain / LangGraph.
- Strong understanding of RAG, embeddings, vector search, and tool calling.
- Experience with multi-agent systems, memory, planning, and reasoning.
- Experience with at least one major cloud platform – AWS / Azure / GCP.
- Experience with containers, CI/CD, deployment, and monitoring.
Preferred Skills
- Google ADK
- Semantic Kernel
- Azure OpenAI
- Vertex AI
- AWS Bedrock
- Docker / Kubernetes
- AI application monitoring and observability
- Frontend testing and application performance optimization
Opportunity Details
Role: Python Full Stack – GenAI / Agentic AI Engineer
Experience: 7+ Years
Location: Hyderabad
Employment: Permanent Position
Work Mode: As per client requirement
Mandate Skills: Python, FastAPI, React JS, Agentic AI, LangChain/LangGraph, RAG, LLM, Cloud
Interview Focus Areas
Candidates should be prepared to demonstrate practical experience in:
- Python backend development
- FastAPI and REST APIs
- Microservices and API design
- React JS
- LLM / Generative AI applications
- Agentic AI architecture
- LangChain / LangGraph
- RAG and vector search
- Tool calling and multi-agent systems
- Cloud deployment and CI/CD
PythonRole Overview
We are looking for an experienced AI/ML Engineer with strong expertise in Python, Generative AI, LLMs, LangChain, and LangGraph. The candidate will be responsible for designing and developing AI-powered applications, intelligent agents, and scalable LLM-based solutions.
Key Responsibilities
- Design and develop AI/ML and Generative AI applications using Python and modern LLM technologies.
- Build LLM-based applications and AI agents using LangChain and LangGraph.
- Develop agentic workflows involving tool calling, memory, reasoning, and multi-step orchestration.
- Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Gemini, or other foundation models.
- Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases.
- Work with embeddings, prompt engineering, semantic search, and document processing.
- Develop scalable APIs and backend services using Python, FastAPI, or Flask.
- Build and integrate AI solutions with existing applications and enterprise systems.
- Deploy and maintain AI/ML solutions on cloud platforms.
- Collaborate with data scientists, software engineers, and product teams to develop business-focused AI solutions.
Required Skills
- Strong hands-on experience in Python programming.
- Strong experience in AI/ML and Generative AI.
- Hands-on experience with LLMs and LLM-based application development.
- Strong experience with LangChain and/or LangGraph.
- Experience building AI Agents / Agentic AI workflows.
- Strong understanding of RAG, embeddings, vector databases, and prompt engineering.
- Experience with vector databases such as FAISS, Pinecone, Chroma, Weaviate, or Azure AI Search.
- Experience developing REST APIs using FastAPI/Flask.
- Good understanding of Machine Learning, NLP, and deep learning concepts.
- Experience with Azure / AWS / GCP cloud platforms.
Good to Have
- Experience with multi-agent systems and agent orchestration.
- Knowledge of MLOps / LLMOps.
- Experience with Docker, Kubernetes, and CI/CD.
- Knowledge of LLM evaluation, monitoring, observability, and AI governance.
- Experience with Azure OpenAI, Azure AI Foundry, or AWS Bedrock.
Python
Python (Gen AI or Agentic AI) - Hyderabad
7 + years of exp with more than 2 + years on Gen AI/Agentic AI.
Design and implement Generative AI and Agentic AI capabilities using LLM platforms and frameworks such as LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent.
Implement tool calling, RAG, memory, planning, reasoning, multi-agent orchestration, structured outputs, and human approval controls.
Integrate applications with REST APIs, relational and NoSQL databases, vector stores, message queues, and enterprise systems.
PythonWe are currently hiring for the position of Python – GenAI / Agentic AI Engineer for one of our esteemed clients.
Please find the opportunity details below:
Position: Python – GenAI / Agentic AI Engineer
Location: Hyderabad
Experience: 7+ Years
GenAI / Agentic AI Experience: 2+ Years
Work Mode: Hybrid
Job Description
We are looking for an experienced Python professional with strong hands-on expertise in Generative AI / Agentic AI and LLM-based application development.
Core Mandatory Skills
- Python
- Generative AI / GenAI
- Agentic AI
- LLM
- LangChain / LangGraph
- Google ADK / Semantic Kernel / Equivalent Agent Frameworks
- RAG
- Tool Calling
- Memory, Planning & Reasoning
- Multi-Agent Orchestration
- Structured Outputs
- Human-in-the-Loop / Human Approval Controls
- REST APIs
- Relational & NoSQL Databases
- Vector Stores / Vector Databases
- Message Queues
- Enterprise System Integration
Key Responsibilities
- Design and implement Generative AI and Agentic AI capabilities using LLM platforms and frameworks.
- Build AI agents using LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent frameworks.
- Implement tool calling, RAG, memory, planning, reasoning, and multi-agent orchestration.
- Develop structured AI workflows with human approval controls.
- Integrate AI applications with REST APIs, databases, vector stores, message queues, and enterprise systems.
- Develop scalable and production-ready Python-based AI applications.
PythonWe are currently hiring for the position of Python – GenAI / Agentic AI Engineer for one of our esteemed clients.
Please find the opportunity details below:
Position: Python – GenAI / Agentic AI Engineer
Location: Hyderabad
Experience: 7+ Years
GenAI / Agentic AI Experience: 2+ Years
Work Mode: Hybrid
Job Description
We are looking for an experienced Python professional with strong hands-on expertise in Generative AI / Agentic AI and LLM-based application development.
Core Mandatory Skills
- Python
- Generative AI / GenAI
- Agentic AI
- LLM
- LangChain / LangGraph
- Google ADK / Semantic Kernel / Equivalent Agent Frameworks
- RAG
- Tool Calling
- Memory, Planning & Reasoning
- Multi-Agent Orchestration
- Structured Outputs
- Human-in-the-Loop / Human Approval Controls
- REST APIs
- Relational & NoSQL Databases
- Vector Stores / Vector Databases
- Message Queues
- Enterprise System Integration
Key Responsibilities
- Design and implement Generative AI and Agentic AI capabilities using LLM platforms and frameworks.
- Build AI agents using LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent frameworks.
- Implement tool calling, RAG, memory, planning, reasoning, and multi-agent orchestration.
- Develop structured AI workflows with human approval controls.
- Integrate AI applications with REST APIs, databases, vector stores, message queues, and enterprise systems.
- Develop scalable and production-ready Python-based AI applications.
PythonJob Summary
We are looking for a skilled Python Developer with experience in Generative AI and Agentic AI to develop AI-powered applications and scalable backend services.
Mandatory Skills
- Python
- Generative AI (GenAI) / Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- LangChain / LangGraph
- Agentic AI
- FastAPI
- REST API development
- Vector Databases
- Prompt Engineering
- Microservices
Key Responsibilities
- Develop and maintain Python-based applications and backend services.
- Build GenAI/LLM-powered applications and AI solutions.
- Implement RAG pipelines for document processing and information retrieval.
- Develop AI agents using LangChain/LangGraph and Agentic AI frameworks.
- Build and integrate REST APIs using FastAPI.
- Work with vector databases for embeddings, semantic search, and retrieval.
- Design and optimize prompts to improve LLM response quality.
- Develop scalable microservices and integrate AI models into applications.
- Collaborate with cross-functional teams to deliver AI-based solutions.
- Troubleshoot, test, and optimize application performance.
Required Qualifications
- 4–6 years of experience in Python development.
- Hands-on experience with GenAI/LLMs, RAG, and Agentic AI.
- Practical experience with LangChain/LangGraph, FastAPI, and REST APIs.
- Knowledge of vector databases, prompt engineering, and microservices.
- Strong problem-solving and debugging skills.
- Ability to develop and deploy production-ready AI applications.
PythonDear Candidate,
Thanks for showing interest towards the opportunity!!!
As discussed, we have an immediate opening for Python + Agentic AI Developer with Mphasis for Bangalore location.
Experience: 4 Years
Mandatory Skills: Python, Agentic AI, Generative AI (GenAI), LLMs, AI Agents.
Kindly share your updated resume and availability for the opportunity.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon