Python Developer-AI/Gen AI Engineer

Sygna Solutions; Hyderabad; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Sygna Solutions in Hyderabad seeks an experienced Python Developer - AI/GenAI Engineer to lead the design and development of an enterprise AI-powered automation platform. You will drive end-to-end architecture, AI strategy, automation workflows, integrations, cloud infrastructure, security, and production deployment.

The role focuses on transforming business operations into a secure, scalable, and highly automated organization with on-site work at Lakdi-ka-pul.

Qualifications

• 6+ years of IT experience with Python development.
• 3+ years in AI/Generative AI or related fields.
• Experience building enterprise AI applications and multi-agent systems.

Responsibilities

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

Skills

Python

REST APIs

AI/GenAI

AI Agents

LangChain

LangGraph

Cloud & DevOps

Automation

Education

Bachelor's/Master's in CS or related

Tools

LangChain

LangGraph

OpenAI / Azure OpenAI

n8n

Microsoft Graph API

Docker

Kubernetes

Job description

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:

1. Sales & Business Development: Client discovery, lead generation, decision-maker identification, email outreach, follow-ups, meetings, proposals, negotiations, and client acquisition.
2. Client & Job Order Management: Client onboarding, staffing agreements, new requirements, job orders, and account management.
3. Recruitment: Resume parsing, candidate sourcing, AI-based resume matching, submissions, interviews, offers, and placements.
4. Bench Sales: Consultant database, bench marketing, vendor outreach, opportunity matching, submission tracking, and placement follow-ups.
5. Finance & Operations: Invoice preparation, payment follow-ups, payroll data preparation, operational workflows, and reporting.
6. 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.