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Strong employer brand, metro location, hot GenAI role and mid-level experience amplify competition.
Role demands specialized GenAI and ML engineering skills, limiting transferability across non-ML roles or industries.
Multiple mandatory technical skills (LLMs, RAG, vector DBs, async Python) plus explicit 3+ years requirement.
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Design and implement autonomous agents using frameworks like LangChain, Crew.ai, SK, and Autogen, focusing on agent architecture, performance, and safety.
Develop and optimize Retrieval Augmented Generation (RAG) systems for enhanced information retrieval and response generation leveraging LLMs and their APIs.
Establish evaluation, monitoring, logging systems and produce documentation and best practices to support agent development and operational stability.
2 to 3+ years of relevant experience in AI/automation development roles.
Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related fields.
Advanced Python programming skills including async programming and API development mandatory.
Proficiency with vector databases, embedding models, RAG pipelines, prompt engineering, LLM optimization, and modern software development practices (Git, CI/CD, testing).
Experienced with multiple LLM providers (e.g., OpenAI, Anthropic) and agent orchestration/workflow management tools.
Strong understanding of safety principles, hallucination resolution in LLM outputs, and agent alignment considerations.
Familiarity with container technologies (Docker, Kubernetes), NLP techniques, semantic search, and information retrieval concepts to support scalable deployment.