AI Tech Lead.
- Posted 2 days ago
- Be among the first 10 applicants
Job Description
QT-SNB-10-393
AI Tech Lead
Location: Hyderabad / Bangalore
Experience: 10+ Years
Working Hours: 2:00 PM – 10:30 PM IST
Role: Individual Contributor | US Geo Support
Must-have Skills
Candidates must have strong hands-on experience in the below:
AI Tech Lead
Location: Hyderabad / Bangalore
Experience: 10+ Years
Working Hours: 2:00 PM – 10:30 PM IST
Role: Individual Contributor | US Geo Support
Must-have Skills
Candidates must have strong hands-on experience in the below:
- Generative AI / Agentic AI
- LangGraph + AutoGen + CrewAI – hands-on experience developing AI agents
- Python – strong development experience
- LLM / AI Application Architecture & Solution Design
- AWS / Azure / GCP – AI application deployment
- Docker + Kubernetes
- CI/CD – Jenkins / GitLab
- Terraform / CloudFormation
- Machine Learning / Deep Learning – TensorFlow / PyTorch / Keras
- NLP & Transformers
- REST APIs / GraphQL / Microservices
- SQL & NoSQL databases
- Kafka / RabbitMQ or other event-driven architecture
- MLOps / LLMOps / large-scale AI deployment
- Hugging Face Transformers
- OpenAI API
- LLM/SLM fine-tuning – GPT, LLaMA, PaLM, etc.
- Prometheus / Grafana / ELK
- AI reference architecture and roadmap experience
- Technical leadership / mentoring experience
More Info
Key Skills
LLM AI Application Architecture Solution Design
CI CD
LangGraph
CrewAI
Generative AI
LLMOps
NoSQL databases
AutoGen
Agentic AI
About Company
Skills:
API design, React, Docker, Swagger, Postgres, Flutter, Python, AWS, Java, Sql, Git, Azure, Kubernetes, Hands-on applied AI, Prompt engineering, Evaluation methodology for AI systems, AI-assisted development tools, Full-stack engineering, Foundation models, Responsible-AI practice, LLMs, REST microservices, Agentic patterns adaptation, Light tuning, RAG, OpenAPI, Evaluation and test-automation approaches
Skills:
Enterprise system integration, AI and automation strategy, Enterprise solution architecture, Generative AI and intelligent automation, Workflow orchestration and human-in-the-loop design, Program delivery and vendor management, Full stack and cloud-native application development, API microservices and event-driven architecture, Executive stakeholder communication, Secure and responsible AI engineering, Technical leadership and team development, DevOps CI CD testing and observability, Agile delivery and cross-functional collaboration
Skills:
ipaas, Machine Learning, Uipath, Apis, Rpa, Digital Transformation, Microservices, Automation Anywhere, Enterprise Integration, Generative AI, Low-Code Platforms, Ai, Event Streaming, Conversational AI
Skills:
Jwt, React, Typescript, Gcp, Azure, AWS, Claude.ai, Drizzle, Playwright, Claude Code, Claude, REST API design, Linear, CI CD, TypeORM, Next.js, rbac, Prisma
Skills:
developing production-grade backend services using Python, observability and monitoring tools, relational and non-relational databases, infrastructure-as-code, cloud provisioning frameworks such as Terraform or CloudFormation, identity and access management technologies, container orchestration such as ECS Fargate, secrets management, pipeline automation with Azure DevOps, networking and load balancing, LLM API gateway technologies, asynchronous programming frameworks, multi-provider integration across major cloud AI platforms, containerisation with Docker