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PIT Solutions (P) Ltd

Module No. 209-N, 9th Floor, Yamuna, SEZ IT Building, Technopark Phase III, Thiruvananthapuram, Kerala, India , 695583

Senior Software Engineer – Python /Generative AI

Closing Date:31,Oct 2025
Job Published: 17,Oct 2025

Brief Description

Experience : 5+ years

We are seeking an experienced Senior Python Engineer – Generative AI to design, develop, and deploy large-scale AI-driven applications. The ideal candidate will bring strong expertise in Python development, LLM integration, and knowledge-augmented architectures (RAG/KAG), along with hands-on experience in building robust APIs, AI workflows, and scalable agentic systems. This role requires a solid understanding of modern data processing pipelines, distributed systems, caching strategies, and containerized deployments.

Key Responsibilities:

  • Develop and maintain large-scale Python applications leveraging Generative AI technologies.
  • Integrate and utilize pre-trained LLMs via APIs (OpenAI, Anthropic, Hugging Face, etc.).
  • Design and implement Retrieval-Augmented Generation (RAG) and Knowledge-Augmented Generation (KAG) pipelines.
  • Build document processing and text extraction workflows for search, indexing, retrieval, and document intelligence.
  • Develop robust REST APIs using FastAPI or Flask.
  • Create and orchestrate workflows with n8n.
  • Integrate and build agentic AI systems using Langchain, vLLM, Langraph, Agno, and (optionally) Foundry agents.
  • Develop and optimize complex agentic pipelines for decision-making and automation.
  • Implement distributed task queues using Celery and RabbitMQ.
  • Design and implement various caching mechanisms: semantic caching, in-memory caching (Redis, Memcached), distributed caching (Redis Cluster), etc.
  • Work with RDBMS, NoSQL, and Vector Databases (Pinecone, Qdrant, Milvus, Chroma DB, Elasticsearch).
  • Containerize applications using Docker for scalable deployment.
  • Ensure code quality and reliability through unit testing (PyTest).
  • Monitor application health and performance using Prometheus and Grafana.
  • Leverage Microsoft Azure services such as Durable Functions, Service Bus, and Document Intelligence for cloud-native solutions.
  • Collaborate with cross-functional teams to define requirements and deliver solutions.
  • Maintain comprehensive documentation and adhere to best coding practices.

Preferred Skills

Required Skills & Qualifications

  • 5+ years of professional Python development experience.
  • Experience integrating LLMs and NLP APIs (OpenAI, Anthropic, Hugging Face, etc.).
  • Practical expertise in RAG/KAG architectures for knowledge retrieval/augmentation.
  • Experience with document processing, NLP workflows, and document intelligence solutions.
  • Advanced API development skills with FastAPI and/or Flask.
  • Hands-on experience with agentic/graph-based frameworks: Langchain, vLLM, Langraph, Agno.
  • Experience with workflow automation tools (n8n).
  • Proficiency with distributed task queues (Celery, RabbitMQ).
  • Expertise in caching mechanisms: semantic caching, in-memory (Redis/Memcached), distributed caching schemes.
  • Experience with RDBMS, NoSQL, and Vector Databases (Pinecone, Qdrant, Milvus, Chroma DB, Elasticsearch).
  • Skilled in containerization using Docker.
  • Practical experience with monitoring tools: Prometheus and Grafana.
  • Proficient in writing unit tests using PyTest.
  • Familiarity with Azure services: Durable Functions, Service Bus, Document Intelligence.
  • Strong communication and teamwork abilities.
  • Commitment to code quality, documentation, and software engineering best practices.

Preferred/Plus Skills

  • Experience working with Foundry agents or similar agentic frameworks.
  • Experience implementing YOLO models for vision or document AI applications.
  • Familiarity with Google AI Studio for rapid prototyping or LLM integration.
  • Prior experience deploying or orchestrating GenAI solutions on Microsoft Azure.