Job Description

Job Title: AI Engineer
YoE: 5+ Years
Location: Chennai,Hyderabad,Bangalore,Pune,Gurgaon,Noida & Kolkata
Work Mode: Hybrid

About Straive

Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that have consistently driven measurable ROI for our clients. With a global footprint spanning 30+ countries, Straive serves hundreds of clients, supported by a team of 18,000+ seasoned professionals in data, analytics, AI, and operations. Our offices are strategically located across India, the Philippines, the USA, Nicaragua, Vietnam, the UK, Canada, and Singapore, where our headquarters is based.

Job Description

As a Senior Generative AI Engineer, you will lead the design, development, and deployment of production-grade AI solutions. You aren't just building prototypes; you are architecting scalable RAG systems, fine-tuning models for specific domain expertise, and ensuring that GenAI capabilities integrate seamlessly into enterprise-level applications.

Key Responsibilities

●     LLM Orchestration: Design and deploy sophisticated LLM-based applications using frameworks such as LangChain, LlamaIndex, or Semantic Kernel.

●     Model Optimization: Lead the fine-tuning of open-source and proprietary models to improve performance, latency, and cost-efficiency.

●     Advanced RAG Systems: Architect and optimize Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases like Pinecone, FAISS, Weaviate, or Azure AI Search.

●     Scalable Deployment: Containerize services using Docker and deploy via FastAPI and Azure Functions to ensure high availability and low latency.

●     Productization: Build and scale enterprise-grade chatbots, copilots, and automated content generation tools using OpenAI/Azure OpenAI and Hugging Face.

●     Prompt Engineering: Implement and manage advanced prompt optimization and versioning workflows to enhance model accuracy.

●     Monitoring & Evaluation: Establish robust evaluation frameworks (e.g., RAGAS, TruLens) to track model performance, hallucination rates, and drift in production.

●     Operationalization: Collaborate with cross-functional teams (Product, DevOps, Data) to identify high-impact use cases and move them from POC to production.

●     Best Practices: Set the standard for GenAI engineering, including model selection criteria, performance tracking, and ethical AI safeguards.

Required Skills & Qualifications

●     Technical Stack: Deep proficiency in Python and GenAI frameworks (LangChain, LlamaIndex).

●     Vector Infrastructure: Hands-on experience with vector indexing, semantic search, and hybrid search strategies.

●     Cloud Proficiency: Strong experience with Azure (Azure OpenAI, Azure Functions, Azure DevOps) or similar cloud ecosystems.

●     Deployment: Experience with CI/CD for AI, MLOps, and containerization.

●     Problem Solving: A proven track record of solving complex "hallucination" and data grounding issues in production environments.

Why Join Straive?

You will be part of a global footprint spanning 30+ countries, working with a team that is at the forefront of the AI revolution. At Straive, your work directly translates into measurable ROI for the world's leading brands.