Arise TechGlobal
Website:
arisetg.com
Job details:
About the Company
We are a leading technology company dedicated to innovation and excellence. Our mission is to empower businesses through cutting-edge technology solutions. We foster a collaborative culture that values innovation, diversity, and professional growth.
About the Role
Technical Lead - AI Platform Engineering
Experience: 8+ Years
Location: Hyderabad, India
Employment Type: Full-Time
Role Overview
We are looking for an experienced Technical Lead to provide hands-on technical leadership for an AI-enabled platform engineering team. The role involves translating architecture direction into executable technical designs, guiding Python/FastAPI and RAG/agentic implementations, maintaining engineering quality, and ensuring sprint commitments are delivered with production-grade reliability, security, and demo readiness.
Key Responsibilities
- Translate platform architecture guidance into technical designs, sprint tasks, and engineering implementation plans.
- Lead hands-on development and technical problem-solving across Python/FastAPI services, APIs, RAG integrations, and agentic workflow components.
- Conduct design reviews, code reviews, technical grooming sessions, and implementation walkthroughs.
- Enforce clean-code practices, reusable design patterns, secure coding standards, testability, and documentation discipline.
- Validate technical estimates, identify delivery risks, and unblock engineers to ensure sprint commitments are delivered.
- Coordinate with AI Architects, Technical Architects, Backend Engineers, AI/ML Engineers, QA, DevOps, and Product Owners to resolve design and integration dependencies.
- Act as the primary technical interface for feature acceptance, release readiness, engineering-quality sign-off, and client demo preparation.
- Mentor senior and mid-level engineers and promote consistent engineering practices across the team.
- Support technical troubleshooting, debugging, and root-cause analysis across platform components.
Required Skills
- 8+ years of hands-on software engineering experience, including at least 2+ years in a Technical Lead, Lead Engineer, or senior hands-on leadership role.
- Strong expertise in Python backend development, FastAPI or comparable API frameworks, REST API design, asynchronous/service-oriented patterns, and production-grade API implementation.
- Hands-on experience with GenAI/LLM application development, RAG pipelines, prompt engineering, vector stores, embeddings, and semantic retrieval.
- Working knowledge of LangGraph, LangChain, MCP, or comparable agent orchestration and integration frameworks.
- Strong system design and architecture skills, including modular service design, integration architecture, scalability, observability, reliability, and secure engineering practices.
- Experience with AWS or comparable cloud platforms, containerized deployment patterns, CI/CD collaboration, and release-readiness processes.
- Strong experience in code reviews, design reviews, technical estimation, debugging, and root-cause analysis.
- Ability to translate product requirements and architecture decisions into technical stories, implementation tasks, acceptance criteria, and engineering deliverables.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Prior Technical Lead experience on a client-facing AI, data platform, or enterprise SaaS delivery team.
- Experience implementing or leading RAG, GraphRAG, knowledge-graph-backed retrieval, or multi-agent workflows.
- Familiarity with Databricks, MLflow, AWS Bedrock, SageMaker, Azure OpenAI, or comparable enterprise AI/ML platforms.
- Experience working in regulated, governed, or life-sciences environments with strong auditability, security, and evidence requirements.
- Experience preparing technical demos, implementation walkthroughs, and release-readiness presentations for client stakeholders.
Education
- B.Tech/M.Tech/MCA in Computer Science, Software Engineering, AI/ML, Data Engineering, or a related field, or equivalent practical experience.
- Certifications in AWS/Azure/GCP, Python, architecture, Agile, or AI/ML engineering are preferred.
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