Back
Tier-1 brand, metro locations, mid-level role, and broad LLM/cloud skillset increase competition.
Specialized LLM orchestration, Bedrock, vector DBs and infrastructure focus make cross-industry transferability limited.
Explicit 5+ years, 3+ years Python, and mandatory LLM/cloud/infra stack create high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Independently own and deliver complex technical solutions focused on AI platform transformation within sales and services customer teams, ensuring quality and timeline adherence.
Demonstrate subject matter expertise in large language model orchestration frameworks, cloud AI services, and infrastructure-grade Python and compiled language applications.
Perform technical solution reviews, code reviews, and risk mitigation planning proactively while mentoring junior team members as needed.
Bachelor's degree in Engineering, Computer Science, or related field (or equivalent experience).
At least 5 years of software engineering experience, including 3+ years in production Python and a compiled language (Go or Java).
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Claude SDK) and AWS Bedrock or equivalent cloud AI services.
Experience with vector databases, containerization (Docker, Kubernetes), secure API design, automated testing for LLM/ML systems, and CI/CD pipelines.
Experienced consultant with strong technical background in AI platform development, especially with LLM orchestration and cloud AI infrastructure.
Comfortable working independently on complex deliverables and proactively identifying risks with mitigation strategies.
Capable of bridging technical work with business stakeholder communication and mentoring junior team members when necessary.