Lead Engineer

Straive; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Straive in Bengaluru seeks a highly technical Sr. Gen AI Engineer to design, develop, and deploy production-grade Generative AI applications. You will act as a hands-on architect and also lead engineers through reviews, task allocation, and mentorship.

The role blends cutting-edge AI research (LLMs, RAG, OCR) with full-stack engineering (Python, FastAPI, React), enabling scalable solutions and rapid delivery across Straive's projects.

Qualifications

• 6–9 years of professional software engineering experience
• 3+ years AI/ML/OCR in production
• Strong Python/AsyncIO experience with FastAPI
• Cloud & DevOps with Azure/AWS, Docker, Kubernetes

Responsibilities

• Architect, build, and optimize LLM-powered applications and multi-agent workflows.
• Design and deploy advanced RAG architectures and document processing pipelines with OCR and Vision LLMs.
• Build robust asynchronous microservices and RESTful APIs with Python and FastAPI.
• Collaborate on modern web interfaces using React for dashboards and interfaces.
• Oversee model deployment, prompt engineering, fine-tuning, vector DB integration (Pinecone, Qdrant, Chroma, PGVector), and cloud infra.
• Lead a team of AI, backend, and full‑stack engineers; allocate tasks, set sprint priorities, and ensure timely delivery.
• Conduct rigorous code reviews to maintain security, performance, and scalability.

Skills

Gen AI/LLMs

AI model deployment

MLOps

Team leadership

Code reviews

Tools

Python

FastAPI

React

Docker

Kubernetes

Azure/AWS

Job description

Job Description we are seeking a highly technical, hands-on Sr. Gen AI Engineer / Lead Gen AI Engineer to drive the design, development, and deployment of production-grade Generative AI applications. In this dual-impact role, you will act as a primary individual contributor architecting core AI engines while simultaneously leading engineers through task allocation, code reviews, and technical mentorship. The ideal candidate bridges the gap between state-of-the-art AI research (LLMs, Agentic frameworks, Advanced RAG, OCR) and production-grade full-stack engineering (Python, FastAPI, React).

Key Responsibilities

• Generative AI & Agentic Systems: Architect, build, and optimize LLM-powered applications, multi-agent workfl ows (e.g., CrewAI, AutoGen, LangGraph ), and autonomous AI agents.
• RAG & Document Intelligence: Design and deploy advanced RAG architectures and document processing pipelines utilizing OCR techniques (e.g., LayoutLM, PaddleOCR, Tesseract, Azure Document Intelligence ) and Vision LLMs to extract structured data.
• Backend Microservices: Build robust, asynchronous, high-throughput microservices and RESTful APIs using Python and FastAPI .
• Frontend Integration: Collaborate on or build modern web interfaces using React (e.g., Control Towers, operations dashboards, interactive chat interfaces).
• MLOps & Infrastructure: Oversee model deployment, prompt engineering, fi ne-tuning, vector database integration ( Pinecone, Qdrant, Chroma, PGVector ), and cloud infrastructure setup ( Azure/AWS ).
• Technical Oversight: Lead a team of AI, backend, and full-stack engineers; allocate tasks, establish sprint priorities, and ensure timely delivery.
• Conduct rigorous code reviews: To maintain high engineering standards, security, performance, and scalability across AI and full-stack codebases.

Required Skills & Qualifications

• Overall Experience: 6 to 9 years of professional software engineering experience.
• AI/ML Domain Experience: 3+ years of dedicated, hands-on experience building and deploying AI/ML,OCR, and Generative AI solutions in production.
• Core Technical Stack:
  • Generative AI & LLMs: Extensive experience with commercial and open-source LLMs CrewAI), and LLM evaluation frameworks (LangSmith, TruLens, RAGAS).
  • RAG & Unstructured Data: Strong knowledge of hybrid search, re-ranking, chunking strategies, vector databases, and document intelligence workflows.
  • OCR & Vision Techniques: Hands-on experience with OCR engines (Tesseract, PaddleOCR,
  • Backend: Deep expertise in Python and asynchronous frameworks (FastAPI, AsyncIO).
  • Cloud & DevOps: Hands-on experience with cloud platforms (Azure / AWS), Docker, Kubernetes, and CI/CD pipelines.

NOTE: Location is open to any Straive or Straive acquired firms in India.