INTL India - Senior GenAI/LLM Engineer

Job Description Insight Global is seeking a remote senior INTL (India) AI/LLM Engineer to join a Fortune 10 retail pharmacy client. This person will be joining the team responsible for supporting the organizations retail shopping applications. This AI/ML team will be using customer data to increase sales and elevate customer pain points during their shopping/check out experience.

Compensation:

$12/hr to $15/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• 5+ years of experience building AI/ML systems, with a strong emphasis on Generative AI, LLM-based applications, and conversational interfaces
• Hands-on experience designing and building chat-based applications (AI assistants, copilots, or conversational agents powered by LLMs (OpenAI, Anthropic, Gemini, etc.))
• Expertise in LLM integration frameworks such as LangChain, Langgraph, LlamaIndex, or similar orchestration tools for building production-grade AI workflows
• Strong experience with Retrieval-Augmented Generation (RAG), including embedding pipelines, Vector databases (Pinecone, Weaviate, FAISS, etc., semantic search and knowledge grounding
• Proficiency in prompt engineering, evaluation, and optimization for reliable and scalable GenAI applications
• Expertise in building APIs and integrations to connect LLM-powered systems with internal tools, third-party platforms, and microservices (FastAPI / Flask / Spring Boot)
• Experience deploying LLM-powered applications to cloud environments (GCP preferred), including Vertex AI / Generative AI Studio, serverless and containerized deployments (Cloud Run, GKE), event-driven architectures (Pub/Sub)
• Strong background in building real-time, user-facing AI systems, including chat UIs, streaming responses, and stateful conversations
• Experience with LLMOps / GenAIOps practices, including model monitoring, evaluation, and iteration, prompt/version management, CI/CD pipelines (GitHub Actions, MLflow, etc.), observability (using Fiddler or LangSmith)
• Knowledge of advanced LLM techniques, such as fine-tuning and instruction tuning, tool use / function calling, agent frameworks and multi-step reasoning workflows
• Familiarity with multi-modal AI (text, image, etc.) and integrating those capabilities into user-facing applications
• Experience with Docker, Kubernetes, and scalable system design to support high-availability conversational AI systems
• GCP experience
• Experience building frontend using Angular