- Company Name
- Trinity Technology Solutions LLC
- Job Title
- AI Engineer
- Job Description
-
**Job title**: AI Engineer
**Role Summary**:
Design, implement, and deploy production‑grade generative AI, ML, and data science solutions end‑to‑end. Lead projects that leverage RAG, prompt engineering, embeddings, fine‑tuning, and agent frameworks across structured and unstructured data, primarily within cloud ecosystems (GCP, Azure, AWS).
**Expectations**:
- 6‑8 years hands‑on experience in generative AI and ML.
- 5+ years overall AI/ML experience with at least 2 years in GenAI projects.
- Bachelor’s degree in Computer Science or related field.
- Proven proficiency with GCP Vertex AI (Vector Search, Gemini, Cloud Run, Cloud SQL), Azure AI, AWS Bedrock; cross‑cloud versatility accepted.
- Strong background in Python and frameworks such as Flask, FastAPI.
- Familiarity with agent frameworks (LangChain, LangGraph, CrewAI, Google ADK).
- Solid understanding of API integration, test automation, and software engineering best practices.
- Excellent communication and teamwork skills.
**Key Responsibilities**:
- Architect and develop end‑to‑end generative AI solutions, including data ingestion, RAG pipelines, and fine‑tuning.
- Build and deploy scalable services on cloud AI platforms (Vertex AI, Azure AI, AWS Bedrock).
- Implement prompt engineering, embedding generation, and semantic search using Vector Search.
- Integrate LLMs and agent frameworks to deliver conversational or task‑oriented AI capabilities.
- Design CI/CD pipelines, automated tests, and monitoring for AI services.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications.
- Stay updated on the latest generative AI research and toolsets; recommend adoption of emerging technologies.
**Required Skills**:
- Generative AI concepts, RAG, prompt engineering, embeddings, fine‑tuning.
- Proficiency in Python, TensorFlow, NLP libraries, and deep learning frameworks.
- Experience with cloud AI services: Vertex AI (Vector Search, Gemini), Azure AI, AWS Bedrock.
- Knowledge of agent frameworks: LangChain, LangGraph, CrewAI, Google ADK.
- API design, integration, and testing; CI/CD and autoscaling.
- Software engineering fundamentals, version control, automated testing.
- Strong problem‑solving, communication, and collaboration abilities.
**Required Education & Certifications**:
- Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
- 5+ years of AI/ML experience, including 2+ years focused on generative AI projects.
- Certifications in Azure AI or GCP AI/ML (preferred but not mandatory).