Note: The job is a remote job and is open to candidates in USA. Inizio Partners is seeking a Gen AI Engineer to develop scalable AI solutions. The role involves translating business needs into AI applications, collaborating with teams, and ensuring best practices in AI engineering are followed.
Responsibilities
- 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
Skills
- 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
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