The Role
Design and build Python backend systems and AI workflows. Develop and deploy GenAI/LLM, RAG, and agentic AI applications integrated with vector databases and third‑party APIs, ensuring production-ready security and guardrails while collaborating on architecture and solutions.
Summary Generated by Built In
Role Overview
We are seeking a Software Engineer- GenAI/ Agentic AI with strong Python backend expertise who can understand business requirements and translate them into scalable AI-powered solutions. The ideal candidate is confident, logical, and able to communicate clearly within the team.
Key Skills
- Strong hands-on experience in Python backend frameworks (FastAPI, Django REST, Flask) and database systems (SQL/NoSQL + vector databases like Pinecone, Weaviate, FAISS).
- Practical experience with GenAI, LLMs, Prompt Engineering, RAG pipelines, OCR/Document Intelligence, and Agentic AI frameworks.
- Good understanding of AI safety practices (prompt security, guardrails, hallucination mitigation).
- Exposure to Docker, CI/CD pipelines, and deploying applications on cloud platforms (AWS/GCP/Azure) — at a developer level for packaging and deployment readiness.
- Strong logical reasoning, problem-solving ability, and clear communication skills.
Responsibilities
- Analyse business requirements and design backend systems + AI workflows.
- Develop and optimize AI-powered applications using LLMs, RAG, and Agentic AI.
- Integrate databases, vector search, and third-party APIs into scalable solutions.
- Ensure secure, reliable, and production-ready AI systems with proper guardrails.
- Collaborate with team members and contribute to technical discussions and solution design.
Skills Required
- Hands-on experience with Python backend frameworks (FastAPI, Django REST, Flask)
- Experience with database systems (SQL/NoSQL) and vector databases (Pinecone, Weaviate, FAISS)
- Practical experience with GenAI, LLMs, Prompt Engineering, and RAG pipelines
- Experience with OCR/Document Intelligence and Agentic AI frameworks
- Understanding of AI safety practices (prompt security, guardrails, hallucination mitigation)
- Exposure to Docker, CI/CD pipelines, and cloud deployment (AWS, GCP, Azure) at a developer level
- Strong logical reasoning, problem-solving ability, and clear communication skills
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The Company
What We Do
Chapter247 Infotech is a full-service software partner specialized in architecting, designing, and developing tech solutions by binding Web, IoT, AI, and Cloud technologies. They offer IT services focused on digital transformation, including custom software development and IT consulting.
