AI Developer (Generative AI, LangChain, LlamaIndex, Python, FastAPI)

Company: Wissen Technology

Position: Python AI Engineer

Experience: 4-6 Years

Location: Bengaluru

Employment Type: Full-time

About Wissen Technology

Wissen Technology is a global technology services company focused on delivering innovative software engineering, data, and technology solutions to leading enterprises. The company works with clients across industries to build scalable, high-performance technology platforms and solve complex business and technology challenges.

With a strong focus on engineering excellence, innovation, and collaboration, Wissen Technology brings together skilled technology professionals across areas such as software engineering, data engineering, cloud, analytics, and digital transformation.

At Wissen Technology, employees have the opportunity to work on challenging technology projects, collaborate with experienced engineering teams, and contribute to solutions that create measurable business impact.

Job Summary

Wissen Technology is hiring a Python AI Engineer for a team building a finance application in global financial services. You will use Python to build LLM-powered applications and AI agents that help finance and operations users find, understand, and act on their data. The ideal candidate should have strong expertise in Core Python, data handling, and AI/LLM engineering and hands-on experience in developing AI-powered applications using Agentic AI frameworks such as LangChain and LangGraph, along with Retrieval-Augmented Generation (RAG).

Job Responsibilities:

• Develop and maintain applications using Core Python.
• Design and develop scalable backend services using FastAPI.
• Build and integrate RESTful APIs for application development.
• Work with NumPy and Pandas for data manipulation and processing.
• Develop AI-powered applications using Generative AI and LLM technologies.
• Implement RAG-based solutions for intelligent document retrieval and information extraction.
• Work with LangChain for LLM orchestration and application development.
• Develop document processing pipelines, including text extraction, parsing, chunking, and data extraction.
• Integrate LLM APIs into existing applications and workflows.
• Optimise application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver AI-driven solutions.

Required Skills

• Strong programming experience in Core Python.
• Hands-on experience with FastAPI.
• Good knowledge of NumPy and Pandas.
• Experience in REST API development and integration.
• Practical experience with LangChain.
• Strong understanding of Retrieval-Augmented Generation (RAG).
• Knowledge of AI, Generative AI, and Large Language Models (LLMs).
• Experience in document processing and data extraction.

Job 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.

🚀 WE’RE HIRING | AI/ML GENERATIVE AI ENGINEER

📍 Location: Remote

💼 Experience: 5+ Years

🔄 Position: Contract – Extendable

🔹 ROLE HIGHLIGHTS

➤ Build and deploy AI/ML amp; Generative AI solutions

➤ Develop LLM, RAG, NLP, Recommendation amp; Predictive solutions

➤ Work on AI Agents, Chatbots, Computer Vision amp; Content Intelligence

➤ Build ML models using PyTorch, TensorFlow, Keras amp; Scikit-learn

➤ Develop RAG solutions using LangChain, LlamaIndex, FAISS/Milvus

➤ Integrate OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI amp; Hugging Face

➤ Build scalable AI APIs using Python, FastAPI/Flask/Django

➤ Contribute to Private AI amp; Smart Agentic Systems

⚙️ MUST-HAVE SKILLS

◆ Python – 3+ years

◆ AI/ML – 5+ years

◆ Generative AI – 2+ years

◆ LLMs, RAG, Embeddings , Transformers

◆ ML/DL, NLP amp; Predictive Analytics

◆ Cloud AI Platforms – Azure / AWS / GCP

◆ AI/ML Deployment | MLOps

Interview Process - F2F Round at Pune Location

Job Summary

We are looking for an experienced Python Developer with strong expertise in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The ideal candidate should have hands-on experience building and deploying AI-powered applications using Python, LangChain/LangGraph, and FastAPI.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python.
• Build and implement Generative AI solutions using LLMs.
• Develop and optimize RAG-based applications and pipelines.
• Work with LangChain and LangGraph to build LLM-powered workflows and AI agents.
• Develop RESTful APIs and backend services using FastAPI.
• Integrate LLMs with enterprise applications, databases, and external services.
• Implement prompt engineering, context management, and response optimization.
• Work on vector databases and embedding models for semantic search.
• Ensure application scalability, performance, security, and reliability.
• Collaborate with cross-functional teams to deliver AI-driven solutions.

Mandatory Skills

• Strong hands-on experience in Python development.
• Practical experience with Generative AI and LLMs.
• Strong understanding and implementation experience of RAG architecture.
• Hands-on experience with LangChain and/or LangGraph.
• Experience developing REST APIs using FastAPI.
• Good understanding of LLM integration and prompt engineering.

Good to Have Skills

• Experience with OpenAI, Azure OpenAI, or other LLM providers.
• Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
• Experience with embeddings and semantic search.
• Knowledge of Docker, Kubernetes, and cloud platforms (AWS/Azure).
• Exposure to AI agents and multi-agent systems.
• Experience with CI/CD and production deployment of AI applications.

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Job Description

We are looking for an experienced Python Developer with Generative AI (GenAI) expertise to design, develop, and deploy scalable AI-powered applications. The ideal candidate should have strong Python development skills along with hands-on experience in LLMs, RAG pipelines, Agentic AI, and AI frameworks.

Core Mandatory Skills

• Strong experience in Python Development.
• Hands-on experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Experience building Retrieval-Augmented Generation (RAG) applications.
• Hands-on experience with LangChain and LangGraph.
• Good understanding of Agentic AI and AI Agents.
• Experience with FastAPI / Flask / Django.
• Strong knowledge of REST APIs and Microservices.
• Experience with Vector Databases such as FAISS, Pinecone, ChromaDB, or Weaviate.
• Knowledge of Prompt Engineering, Embeddings, and Semantic Search.
• Experience with LLM integration, API development, and deployment.

Good to Have Skills

• Experience with OpenAI / Azure OpenAI / Gemini.
• Knowledge of AWS / Azure / GCP.
• Experience with Docker, Kubernetes, and CI/CD.
• Understanding of AI Agent orchestration, Tool Calling, and MCP.

Key Responsibilities

• Develop and maintain scalable Python-based applications.
• Build and integrate GenAI/LLM-powered solutions.
• Design and implement RAG pipelines and vector search solutions.
• Develop AI agents using LangChain / LangGraph.
• Integrate LLMs with enterprise applications through REST APIs.
• Optimize application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver AI-driven solutions.

Job Description – Python & Generative AI Engineer

Python & Generative AI Engineer

Location: Bangalore, India

Experience: 4+ Years

Employment Type: Full-time

Job Summary

We are looking for an experienced Python & Generative AI Engineer with 4+ years of software development experience and strong hands-on expertise in Python, LLMs, Generative AI, and AI application development.

The ideal candidate should be comfortable building production-grade AI solutions, integrating LLMs with enterprise applications, and developing scalable APIs and services using Python.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using Python and modern AI/ML frameworks.
• Work with Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, or similar models.
• Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
• Build AI-powered applications using frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.
• Develop scalable REST APIs and backend services using FastAPI, Flask, or Django.
• Integrate LLM APIs, prompt engineering, function/tool calling, and structured outputs into enterprise applications.
• Work with vector databases such as FAISS, Pinecone, Weaviate, Milvus, or Azure AI Search.
• Implement document processing, chunking, embeddings, semantic search, and knowledge retrieval solutions.
• Evaluate LLM responses for accuracy, relevance, hallucination, latency, and cost.
• Build and maintain production-ready AI pipelines with appropriate monitoring, logging, security, and error handling.
• Collaborate with data scientists, ML engineers, software engineers, and business stakeholders to deliver AI solutions.
• Write clean, reusable, testable, and well-documented Python code.
• Participate in architecture discussions, code reviews, testing, deployment, and production support.

Required Skills

• 4+ years of experience in software/Python development.
• Strong proficiency in Python and object-oriented programming.
• Hands-on experience with Generative AI and LLM-based applications.
• Experience with OpenAI/Azure OpenAI, Anthropic, Google Gemini, or open-source LLMs.
• Strong understanding of Prompt Engineering and LLM application patterns.
• Experience implementing RAG pipelines.
• Knowledge of embeddings, vector databases, semantic search, and document retrieval.
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Strong experience developing REST APIs using FastAPI/Flask/Django.
• Familiarity with Git, CI/CD, Docker, and cloud platforms such as AWS, Azure, or GCP.
• Good understanding of SQL and databases.
• Strong problem-solving and communication skills.

Good to Have

• Experience with AI agents / Agentic AI and tool/function calling.
• Experience with multi-agent frameworks.
• Knowledge of MLOps/LLMOps and model evaluation.
• Experience with Kubernetes and containerized deployments.
• Knowledge of NLP, machine learning, or deep learning.
• Experience with Azure AI, AWS Bedrock, Amazon SageMaker, or Google Vertex AI.
• Understanding of responsible AI, data privacy, and LLM security.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

2

Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

3

Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.

4

Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

5

Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

6

Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.

7

Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

8

Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

9

Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

Mandatory (Education) - B.TECH / M.TECH from Tier 1 Colleges (IIT, NIT, BITS, IIIT, DTU, NSUT) are considered.

Role 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.

Job Title: Python + GenAI Developer

Experience: 4–6 Years

Location: Bangalore / Hyderabad (as applicable)

Job Description:

We are looking for a skilled Python + Generative AI Developer with hands-on experience in Python development, LLM integration, and building AI-powered applications.

Key Responsibilities:

• Develop backend applications and REST APIs using Python.
• Build and integrate Generative AI solutions using LLMs.
• Work with frameworks such as LangChain or LangGraph.
• Implement Retrieval-Augmented Generation (RAG) pipelines and vector databases.
• Integrate OpenAI or other LLM APIs into applications.
• Collaborate with teams to develop, test, and deploy AI-powered solutions.
• Work with cloud platforms such as AWS, Azure, or GCP.

Required Skills:

• 4–6 years of Python development experience.
• Hands-on experience with Generative AI and LLMs.
• Experience with LangChain or LangGraph.
• Knowledge of RAG and vector databases.
• Experience developing REST APIs using FastAPI or Flask.
• Understanding of prompt engineering and LLM integration.
• Familiarity with Git and cloud platforms.

Preferred Skills:

• Experience with Agentic AI and AI agents.
• Knowledge of embeddings and semantic search.
• Experience with Docker and CI/CD.