Hiring for BIG 4 Agentic App Engineer

Requirements:
5 to 7 years of solid experience building AI-driven systems, with demonstrated ownership of model behaviour and algorithms, not just API integration.
Deep understanding of agentic architectures, multi-agent coordination, autonomous decision-making systems, and custom orchestration approaches.
Ability to design agent frameworks from scratch or significantly extend existing ones rather than relying out-of-the-box abstractions.
Solid understanding of LLM internals, transformer architectures, inference behavior, tokenization, attention, trade-offs.
Experience with open-source LLMs (e.g., LLaMA-family, Mistral, Mixtral, Falcon, Qwen) and self-hosted deployments.
Advanced reasoning strategies: chain-of-thought alternatives, tree/graph-based reasoning, planners, criticagent loops, tool reasoning.
Prompting as a controlled technique,



not the primary abstraction.
Experience with LangChain, LangGraph, AutoGen, CrewAI as reference tools, with proven ability to bypass, customize, or replace them with custom implementations.
Preference for code-first, algorithm-driven approaches over declarative or black-box pipelines.
Deep experience in RAG pipelines, embeddings, vector similarity search, hybrid retrieval, reranking models, and knowledge grounding.
Strong grasp of information retrieval, indexing, and retrieval algorithms.
Solid systems engineering skills with Python and/or Java/Go for AI backends.
Experience deploying AI workloads on GCP, including self-managed inference, GPUs, containers, and scaling strategies.

📌 Agentic App Engineer Maharashtra
🏢 Contactx Resource Management
📍 Maharashtra