Senior Engineering Lead

AI Engineering Lead

Company: Straive

Location:- Bengaluru, Karnataka (Hybrid)

Industry: Data & Analytics, AI/ML Solutions

Employment Type: Full-Time

Experience: 8+ years

About the Role

Straive is seeking an AI Engineering Lead with deep technical expertise and a builder's mindset. This

role is ideal for someone who thrives at the intersection of LLM innovation, system design, and

engineering rigor. You will be responsible for designing and deploying advanced AI applications at

scale — from autonomous agents to retrieval-augmented generation (RAG) pipelines — powering

intelligence solutions that impact real-world decisions in regulated industries.

This isn't just a data science role — it's a hands-on engineering position demanding architectural

foresight, curiosity, and a constant pulse on evolving AI capabilities.

Key Responsibilities

AI Platform Development:

Design and build AI-powered platforms, including multi-agent orchestration (CrewAI, AutoGen,

LangGraph) and RAG pipelines with dense/sparse/hybrid search strategies.

AI Operationalization:

Operationalize AI across use cases like data harvesting, compliance validation, summarization, and

knowledge retrieval.

LLM System Implementation:

Lead end-to-end implementation of LLM systems using open-source stacks — LangChain, Haystack,

HuggingFace, etc.

Web Application Development:

Develop web-integrated AI applications, collaborating with front-end and backend teams (React,

FastAPI, etc.).

Quality & Scalability:

Drive quality, scalability, and reliability in all AI product engineering efforts, ensuring robust

deployment and monitoring.

Technical Ownership:

Own embedding lifecycle, prompt strategy, agent memory, and dynamic tool invocation techniques.

Required Qualifications

Experience

Technical Expertise

Python LangChain CrewAI AutoGen LangGraph HuggingFace FastAPI React Vector Databases

AWS/GCP RAG Systems AI Agents Haystack Puppeteer Playwright

Compensation Package

Annual CTC:

Up to ₹45,00,000 per annum

Notice Period:

Immediate to 30 days

Cross-functional Collaboration:

Collaborate across product, infra, data, and legal teams to ensure business-aligned engineering.

Innovation Leadership:

Stay ahead of the curve — proactively track AI tool evolution, contribute PoCs, and guide

architectural decision-making.

8+ years of total experience with 3+ years in LLM/AI product engineering leadership

Strong track record of building LLM-based products, including RAG systems, agents, or AI assistants

LLM & AI Systems:

Deep understanding of dense vs. sparse retrieval, vector DB design, chunking strategies, and LLM

cost/performance trade-offs

AI Frameworks:

Experience with frameworks like CrewAI, AutoGen, LangGraph, BrowserBase, LangChain, etc.

Software Engineering:

Solid background in Python (must), FastAPI, SQL/NoSQL, data pipelines, and backend logic

Web Technologies:

Familiarity with web technologies and browser automation/scraping frameworks (e.g., Puppeteer,

Playwright)

Cloud & DevOps:

Working knowledge of cloud environments (AWS/GCP), containerization, CI/CD, and model monitoring.

Job Type: Full-time

Pay: Up to ₹4,500,000.00 per year

Schedule:

• Day shift
• Morning shift

Work Location: In person