C2H Urgent role || Agentic AI Engineer || Fully Remote

Job Summary
We are seeking a highly skilled Agentic AI Engineer / Applied AI Engineer to design, develop, and deploy next-generation AI systems that leverage Large Language Models (LLMs), autonomous agents, retrieval systems, and intelligent workflows to solve complex enterprise problems.
At the Senior Software Engineer, this role requires deep hands-on engineering expertise, strong software architecture skills, and the ability to independently lead the delivery of scalable AI-powered products and platforms. The ideal candidate combines strong software engineering fundamentals with applied AI/ML experience and thrives in fast-paced, innovation-driven environments.

Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related field.
5+ years of software engineering experience.
2+ years of hands-on experience building Generative AI or LLM-based applications.

1+ Claude MCP integrations
Strong programming skills in Python and at least one additional language (Java, Go, JavaScript/TypeScript).
Experience with:
LLM APIs such as OpenAI, Anthropic, or open-source models.
Vector databases such as Pinecone, Weaviate, FAISS, or ChromaDB.
RAG architectures and semantic search.
REST APIs, distributed systems, and scalable backend design.
Experience with cloud platforms:
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Strong understanding of software design patterns, system scalability, and observability.

Preferred Qualifications
Experience with multi-agent orchestration systems.
Familiarity with AI governance, responsible AI, and enterprise security standards.
Experience deploying AI systems in healthcare, retail, insurance, or pharmacy domains.
Knowledge of reinforcement learning, model fine-tuning, or evaluation frameworks.
Contributions to open-source AI projects or published technical research.

Technical Skills
Programming & Frameworks
Python, Java, TypeScript, Go
FastAPI, Flask, Spring Boot, Node.js
LangChain, LangGraph, CrewAI, AutoGen
PyTorch, TensorFlow, Hugging Face
AI & Data Technologies
LLMs, Generative AI, RAG
Vector databases
Prompt engineering
AI evaluation frameworks
NLP and semantic search
Cloud & DevOps
AWS, Azure, Google Cloud Platform (any one)
Docker, Kubernetes
Terraform
GitHub Actions / Jenkins
Monitoring & Observability

Senior-Level Expectations
Independently owns large technical initiatives end-to-end.
Makes architectural decisions with long-term scalability in mind.
Drives engineering excellence and operational maturity.
Influences technical direction across teams.
Balances rapid experimentation with production-grade engineering discipline.

Nice-to-Have Experience
Healthcare or pharmacy technology experience.
Experience building conversational AI platforms or enterprise copilots.
Knowledge of HIPAA, compliance, and regulated AI environments.
Exposure to graph-based orchestration and workflow engines