Role Overview
You will design, build, and deploy AI-powered features across SaaS platforms, focusing on automation, intelligent workflows, and real-world AI use cases.

Key Responsibilities
 Design and implement LLM-based applications (chatbots, automation agents, document processing)
 Build and optimize RAG (Retrieval-Augmented Generation) pipelines
 Integrate AI models into backend systems via APIs
 Develop scalable services using Python / backend frameworks
 Work with structured & unstructured data (documents, PDFs, logs, etc.)
 Optimize prompts, performance, and cost of LLM systems
 Collaborate with frontend/backend teams to deliver production-ready features

Required Skills
 Strong programming in Python (must-have)
 Experience with ML/AI frameworks like
 PyTorch or TensorFlow
 Hands-on experience with:
 LangChain or LlamaIndex
 Prompt engineering (practical use cases)
 Experience with:
 REST APIs / FastAPI / backend development
 SQL / NoSQL databases
 Git & version control
 Understanding of:
 Vector databases (Pinecone, Weaviate, FAISS)
 RAG architecture & embeddings
 Model evaluation & optimization

Good to Have
 Experience with LLM providers (OpenAI, Azure OpenAI, Anthropic, Gemini)
 Exposure to AI agents & automation workflows
 Experience with cloud platforms like Microsoft Azure
 Knowledge of Docker / Kubernetes
 Familiarity with Agile tools (JIRA, Trello)
 Experience working on FinTech-related projects or financial data (preferred but not mandatory)

What You’ll Work On
 AI-powered SaaS features
 Intelligent document processing
 Automation agents & AI copilots
 Scalable backend systems integrated with AI

What We’re Looking For
 Strong problem-solving mindset
 Ability to work independently after onboarding
 Curiosity for AI and emerging technologies
 Ownership and accountability

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If interested can forward your updated resumes on hr5@tasolutions.in and can directly contact us on 9041287949 also can provide our reference to your friends and colleagues.