GEN AI Developer

Position: GEN AI Developer
Experience: 3 Years - 8 Years
Shift: 12:00 PM IST to 9:00 PM IST
Qualification: Any Degree
Location: Begumpet, Hyderabad, Telangana
Mode of Operation: On-site

Job Description:

We are seeking an experienced Senior Agent AI Programmer with strong expertise in Agentic AI systems, Generative AI, and cloud platforms (AWS & Azure). The ideal candidate will design, develop, and deploy intelligent AI agents capable of autonomous decision-making, orchestration, and task execution using modern LLMs and cloud-native services.

Required Skills & Qualifications:

3+ years of experience in software development with strong AI/ML background.
Hands-on Agent AI experience is mandatory.
Strong expertise in Generative AI and LLMs.
Proficiency in Python (mandatory); experience with Node.js or Java is a plus.
Experience with Agent AI frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, etc.).
Strong experience with AWS and Azure services:
AWS: Lambda, EC2, S3, Bedrock, SageMaker, API Gateway
Azure: Azure OpenAI, Azure Functions, Cognitive Services
Experience with Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB).
Knowledge of RAG pipelines, embeddings, and fine-tuning concepts.
Familiarity with Docker, Kubernetes, CI/CD pipelines.
Strong problem-solving and system design skills.

Good to Have:
• Experience with multi-modal AI models (text, image, audio).
• Knowledge of MLOps and AI observability tools.
• Experience working in SaaS or enterprise AI products.
• Exposure to compliance, data privacy, and AI governance.

Required Skills:

• Agentic ai systems
• Generative AI
• Aws
• Azure
• Python

Education Level: Any Degree

Roles & Responsibilities:

• Design and develop Agentic AI systems using frameworks such as LangChain, AutoGen, CrewAI, or similar.
• Build and deploy Generative AI applications leveraging LLMs (OpenAI, Anthropic, Azure OpenAI, etc.).
• Architect multi-agent workflows for reasoning, planning, tool usage, and autonomous task execution.
• Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.
• Deploy, monitor, and scale AI solutions on AWS and Azure cloud platforms.
• Implement prompt engineering, memory management, RAG (Retrieval-Augmented Generation), and vector databases.
• Ensure security, performance, and reliability of AI systems.
• Mentor junior engineers and contribute to architectural decisions.
• Collaborate with product managers, data scientists, and DevOps teams.