We are seeking a Technology Lead with proven GenAI leadership, a strong AI/ML foundation, and a solid enterprise architecture background. Ideal candidates are seasoned professionals with deployment experience across on-premises, cloud, and hybrid environments.
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Core Responsibilities:
- Design end-to-end AI-powered enterprise solutions integrating traditional systems with AI/ML.
- Lead 8-12 engineers across full-stack, DevOps, and AI/ML specializations in Agile environments.
- Drive technical decisions spanning infrastructure, databases, APIs, microservices, and AI components.
Work Conditions:
- Contract position
- On-site work
- Duration: 12 months, extendable
Technical Requirements:
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GenAI Leadership (3+ Years) - PRIMARY
- Expert-level LLM experience (LLAMA, Mistral, GPT) including fine-tuning and deployment.
- Experience with Agentic AI, MultiAgent systems, and Agentic RAG implementations.
- Proficiency in Vector Databases, LangChain, Langraph, and modern GenAI toolchains.
- Advanced prompt engineering and Chain-of-Thought techniques.
- 3+ production GenAI applications successfully implemented.
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AI/ML Foundation (4-5 Years)
- Hands-on AI/ML experience building production systems with Python, TensorFlow, or PyTorch.
- ML model lifecycle management from development to deployment and monitoring.
- Integration of AI/ML models with existing enterprise architectures.
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Enterprise Architecture & Deployment (8 to 10+ Years)
- Full-stack development with MERN stack or equivalent.
- Deployment experience across on-premises, cloud, and hybrid environments.
- Kubernetes expertise for container orchestration and deployment.
- Database proficiency: SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).
- API development: RESTful services, GraphQL, microservices architecture.
- DevOps experience: Docker, CI/CD pipelines, infrastructure automation.
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Cloud & Infrastructure
- Strong cloud experience (AWS/Azure/GCP) with ML services.
- Familiarity with AWS services such as SageMaker, Bedrock, Lambda, API Gateway or equivalent.
- Hybrid architecture design combining on-prem, cloud, and AI/ML systems.
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Proven Delivery
- 7+ complex projects delivered across enterprise systems and AI/ML solutions.
- Team leadership experience managing diverse technical teams.
Requirements (Good to have):
- AWS/Azure/GCP certifications (Solutions Architect + ML Specialty preferred).
- Strong communication skills bridging business and technical requirements.
- Agile/Scrum leadership experience with measurable team performance improvement.
Language Requirements:
- Proficiency in English is expected.
If you meet these qualifications and are excited about leading innovative projects, we encourage you to apply.
