AI Engineer (AI Engineering)

TL;DR

AI Engineer (AI Engineering): Designing, developing, and deploying production-grade AI solutions including autonomous agents, generative AI applications, and RAG-based systems with an accent on leveraging large language models (LLMs), agentic frameworks, and advanced machine learning techniques. Focus on automating workflows, improving customer experiences, and driving business innovation.

Location: Work From Home - TX, CA, GA, IN, OR

Salary: $110000 - $140000 / year

Company

hirify.global is responsible for designing, developing, and deploying production-grade AI solutions including autonomous agents, generative AI applications, and RAG-based systems.

What you will do

• Design and deploy autonomous AI agents using frameworks like LangGraph, AutoGen, CrewAI, or OpenAI Assistants API for multi-step reasoning and task execution.
• Implement function calling, tool use, and API integrations enabling LLMs to interact with enterprise systems, databases, and external applications.
• Build advanced RAG systems with vector databases, hybrid search (dense + sparse retrieval), and reranking for domain-specific chatbots and knowledge retrieval.
• Develop generative AI solutions for text generation, summarization, audio-to-text transcription, and call center conversation insights using LLMs.
• Integrate with AI platforms including Snowflake Cortex, OpenAI, Azure AI Studio, AWS Bedrock, and Anthropic Claude.
• Collaborate with cross-functional teams to identify and prioritize high-impact AI opportunities that drive significant business value.

Requirements

• Minimum of 3 years of professional experience in AI engineering or related roles.
• 3+ years experience developing AI/ML solutions on platforms such as Snowflake, Azure, AWS , OpenAI, Databricks, or similar.
• 2+ years hands-on experience with Generative AI including LLM application development, RAG systems, and production deployments.
• Experience with agentic AI frameworks (LangGraph, AutoGen, CrewAI, OpenAI Assistants API) and multi-agent orchestration.
• Proficiency in Python, LangChain/LlamaIndex, and vector databases (Pinecone, Weaviate, Chroma, pgvector, Snowflake).
• Solid understanding of software engineering principles and best practices.

Nice to have

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field is preferred.
• Relevant certifications in AI/ML platforms (AWS, Azure, Google Cloud) or related areas are a plus.
• Familiarity with the call center environments and operational insurance platforms is preferred

Culture & Benefits

• Comprehensive benefits package including medical, dental, vision, and life insurance.
• Performance-based bonuses to reward your contributions.
• Paid time off to recharge and maintain a healthy work-life balance.
• Flexible work options, including remote and hybrid opportunities, if eligible.
• Retirement Plan (401k) with company-matched contributions.
• Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion.