AI Engineer / Senior AI Engineer

Straive; India; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

Straive is hiring AI Engineer to lead design, development, and deployment of production-grade AI solutions across data analytics and GenAI platforms in India. You will architect scalable RAG systems, fine-tune models for domain use cases, and integrate GenAI capabilities into enterprise applications.

The role requires 3–6 years of software engineering, strong Python, and hands-on GenAI experience with OpenAI/Azure OpenAI, LangChain, and vector databases.

Qualifications

• Overall Experience: 3 to 6 years of professional software engineering experience.
• GenAI Domain Experience: 2 years of dedicated, hands‑on experience building GenAI, LLM, and OCR solutions in production environments.
• Programming Mastery: Deep proficiency in Python with expertise in asynchronous programming, typing standards, and clean code principles.
• Generative AI & LLMs: Hands‑on experience with commercial APIs ( OpenAI GPT-4o, Anthropic Claude, Azure OpenAI ) and open‑source models ( Llama 3, Mistral ), along with modern agentic frameworks.
• Vector Infrastructure & Search: Practical experience with hybrid search (dense + sparse), re‑ranking algorithms, metadata filtering, and vector index tuning.
• Backend & Cloud: Strong background in FastAPI, Docker, Git, CI/CD pipelines , and enterprise cloud ecosystems ( Azure / AWS ).
• Problem Solving: Proven track record of solving hallucination, context window limitations, and data grounding issues in production.

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.

Skills

Python

GenAI/LLMs

Async programming

Typing standards

Clean code

Problem solving

Tools

LangChain

LlamaIndex

Semantic Kernel

FastAPI

Docker

Git

CI/CD

Azure

AWS

OpenAI APIs

Hugging Face

Pinecone

FAISS

Weaviate

Azure Functions

Job description

Job Title: AI Engineer / Senior AI Engineer

YoE: 3-6 Years

Location: Chennai, Hyderabad, Bangalore, Pune, Gurgaon, Noida & Kolkata

Work Mode: Hybrid

Only considering candidates with an immediate to 30-day notice period.

About Straive

Straive is a global leader in data analytics and AI operationalization, helping enterprises embed advanced AI and data capabilities into core business workflows to deliver measurable business outcomes and ROI. With a workforce of ~20,000 professionals serving 350+ clients across 30+ markets, Straive combines technical scale with deep domain expertise. A key differentiator is its network of over 6,000 subject matter experts who specialize in managing and enriching complex, unstructured data enabling organizations to build AI systems grounded in accuracy, context, and business relevance.

The company continues to earn recognition from leading industry analysts and was recently named a Leader in AIM's 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQTa purpose-driven global investment organization which was ranked among the world's leading private equity firms by PEI in 2025Straive is positioned as a high-value alternative to traditional IT services providers, combining domain-led intelligence with execution at scale.

Job Description

As a AI Engineer / Senior 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

• Overall Experience: 3 to 6 years of professional software engineering experience.
• GenAI Domain Experience: 2 years of dedicated, hands‑on experience building GenAI, LLM, and OCR solutions in production environments.
• Programming Mastery: Deep proficiency in Python with expertise in asynchronous programming, typing standards, and clean code principles.
• Generative AI & LLMs: Hands‑on experience with commercial APIs ( OpenAI GPT-4o, Anthropic Claude, Azure OpenAI ) and open‑source models ( Llama 3, Mistral ), along with modern agentic frameworks.
• Vector Infrastructure & Search: Practical experience with hybrid search (dense + sparse), re‑ranking algorithms, metadata filtering, and vector index tuning.
• Backend & Cloud: Strong background in FastAPI, Docker, Git, CI/CD pipelines , and enterprise cloud ecosystems ( Azure / AWS ).
• Problem Solving: Proven track record of solving hallucination, context window limitations, and data grounding issues in production.

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.

Recognition & Achievements

• We have been recognized as a Star Performer in Data & AI Services Specialists - Everest's North America PEAK Matrix 2025, and as a Leader in AIM's PeMa Quadrant of Agentic AI Service Providers - 2025.
• In Nov 2023, Straive acquired Gramener, an award-winning, design-led data science company, enhancing our data, analytics, and AI capabilities. In June 2025, we acquired SG Analytics, a leading provider of AI-powered insights and contextual analytics services.

For more information, please visit our Website: https://www.straive.com/

Equal Opportunity Employer

Straive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.