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Job Title: Python Developer - AI/GenAI Engineer

Experience: 6-8 Years Overall IT Experience
Relevant Experience: 3+ Years in AI, Automation,
Employment Type: Full-time
Project: Enterprise AI-Powered Staffing & Business Automation Platform

Work Mode: Onsite (Lakdi-ka-pul)

Project Scope

The platform must support automation across:

Sales & Business Development: Client discovery, lead generation, decision-maker identification, email outreach, follow-ups, meetings, proposals, negotiations, and client acquisition.
Client & Job Order Management: Client onboarding, staffing agreements, new requirements, job orders, and account management.
Recruitment: Resume parsing, candidate sourcing, AI-based resume matching, submissions, interviews, offers, and placements.
Bench Sales: Consultant database, bench marketing, vendor outreach, opportunity matching, submission tracking, and placement follow-ups.
Finance & Operations: Invoice preparation, payment follow-ups, payroll data preparation, operational workflows, and reporting.
Management: Centralized dashboards, business analytics, performance reports, and decision-support systems.

Role Summary:

We are seeking an experienced AI Solutions Architect to design and lead the development of an enterprise AI-powered automation platform for IT staffing and recruitment. The ideal candidate will drive end-to-end architecture, AI strategy, automation workflows, integrations, cloud infrastructure, security, and production deployment.

The objective is to transform our business operations into a secure, scalable, and highly automated organization.

Key Responsibilities:

Develop scalable applications and APIs using Python(Advanced), FastAPI, Flask, or Django.
Build and deploy AI/ML and Generative AI solutions.
Design and implement AI Agents, RAG applications, and workflow automation.
Integrate LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, and Llama.
Develop API integrations and automate business workflows using n8n and Microsoft Graph API.
Collaborate with cross-functional teams to deliver enterprise AI solutions.
Ensure application reliability, security, performance, and scalability.

Required Skills:

Programming: Python, REST APIs, Microservices.
AI/GenAI: Machine Learning, NLP, Prompt Engineering, RAG, AI Agents.
Frameworks: LangChain, LangGraph, Crew AI, AutoGen.
Databases: PostgreSQL, MongoDB, Redis.
Vector Databases: Pinecone, Chroma DB, FAISS.
Cloud & DevOps: Azure/AWS, Docker, Kubernetes, Git, CI/CD.
Automation: n8n, Microsoft Graph API, Webhooks.

Preferred Qualifications:

Bachelor's/Master's degree in Computer Science or related field.
Experience building enterprise AI applications and multi-agent systems.
Knowledge of MLOps and AI model deployment.

Preferred Tech Stack

Experience: 6+ years in Python development with 3+ years of hands-on AI/Generative AI experience.

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