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
Python | FastAPI | OpenAI/Azure OpenAI | LangChain | LangGraph | PostgreSQL | Docker | n8n | Microsoft Graph API | Azure/AWS
Experience: 6+ years in Python development with 3+ years of hands-on AI/Generative AI experience.