Gen AI Engineer
Inizio Partners
About the job Gen AI Engineer
- Role: Gen AI Engineer
- Location: Remote (US)
- Number of roles: 3
- Type: Fulltime or Contract
- Translate business requirements into robust, scalable AI solutions using RAG, embeddings, vector search, and fine-tuning.
- Design, prototype, and implement LLM-driven applications with multi-step agent workflows and orchestration frameworks (e.g., LangGraph, LangChain, LlamaIndex).
- Build and maintain APIs, services, and reusable components in Python to support AI applications.
- Deploy and monitor AI models in cloud-native environments (GCP, Azure) leveraging Kubernetes, serverless, and MLOps pipelines.
- Continuously evaluate model/system performance and implement improvements.
- Contribute to the design of modular and reusable AI architectures across projects.
- Establish and follow engineering best practices for GenAI development, testing, deployment, and monitoring.
- Support the creation of documentation, templates, and playbooks for consistent solution delivery.
- Partner with cross-functional teams to integrate AI capabilities into enterprise applications.
- Work closely with business stakeholders to translate challenges into AI-powered solutions.
- Share lessons learned and help drive adoption of AI practices across teams.
- Ensure AI applications align with security, compliance, and responsible AI standards.
- Bachelors or Masters degree in Computer Science, AI/ML, or related technical field.
- 5+ years of software development experience, with strong proficiency in Python.
- 3 - 5+ years hands-on experience building GenAI/LLM-based applications, with proven success from PoC to production deployment.
- Proficiency in designing retrieval pipelines (document loaders, chunking strategies, embeddings, vector databases like FAISS, Pinecone, ChromaDB).
- Expertise in LLM APIs (OpenAI, Claude, Gemini, etc.), prompt engineering, and fine-tuning.
- Experience with cloud platforms (GCP, Azure), containerization (Docker, Kubernetes), and MLOps (CI/CD, monitoring).
- Strong understanding of API design, microservices, and enterprise integration patterns.
- Familiarity with version control systems (e.g., Git, Azure DevOps).
- Demonstrated ability to build and scale AI solutions in production.
- Experience with orchestration frameworks (LangGraph, LangChain, LlamaIndex).
- Familiarity with DevOps practices such as IaC (Terraform), YAML pipelines, and automation.
- Strong communication skills with ability to collaborate across teams and articulate technical concepts clearly.
- Proactive, self-motivated problem solver with a track record of delivering high-value solutions.
- Leverage vibe and agentic coding tools such as Cursor, Claude Code, and similar frameworks to accelerate AI solution development and orchestrate multi-agent workflows.
- Analytical mindset with focus on measurable outcomes.
- Collaborative team player who thrives in cross-functional environments.
- Curiosity and drive to stay current with emerging GenAI technologies.
Vacancy posted 3 days ago
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