Senior Gen AI Engineer

Straive
is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Website: https://www.straive.com/ LinkedIn

Job Title: Senior Gen AI Engineer

Location: New Jersey- (Hybrid)

Type: Fulltime

As a Generative AI Engineer, you will design, develop, and deploy AI-powered solutions using large language models (LLMs), vector databases, and cloud-based infrastructure. You’ll be responsible for building and fine-tuning generative AI models, developing retrieval-augmented generation (RAG) systems, and integrating GenAI capabilities into scalable applications.

Key Responsibilities:

● Develop, fine-tune, and deploy LLM-based applications using frameworks like Senior Gen AI Engineer LangChain, Semantic Kernel, or LlamaIndex.

● Design and implement RAG pipelines using vector databases (Azure Cognitive Search, Pinecone, FAISS, Weaviate).

● Build chatbots, copilots, and content generation tools using OpenAI, Azure OpenAI, or Hugging Face models.

● Containerize and deploy GenAI services using Docker, FastAPI, and Azure Functions.

● Collaborate with cross-functional teams to identify and operationalize GenAI use cases.

● Implement monitoring, evaluation, and prompt optimization workflows.

● Manage prompt engineering, model selection, and performance tracking in production.
Preferred Qualifications:

● 5+ years’ experience preferred recent graduate

● Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.

● Experience in developing PoCs or production-grade AI applications.