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Senior Generative AI Engineer

Senior Generative AI Engineer

HSBC

3 years

0 Lacs

chennai tamil nadu india

Posted:5 days ago| Platform:

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Skills Required

ai vision data ocr design summarization video integration containerization deployment devops kubernetes orchestration agile opentelemetry logging collaboration rest graphql documentation architecture ml coding code retrieval docker development debugging tuning optimization communication teamwork mentoring stack python pytorch tensorflow git github aws openai elasticsearch apache solr programming api fastapi flask prototyping kit mistral monitoring research evaluation vertex react next.js

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

We’re hiring a Generative AI Engineer to build, deploy, and optimize multimodal AI services across text, speech, and vision. You'll work on RAG, synthetic data generation, agent workflows, and integrate STT/TTS/OCR with scalable backend systems.

Key Responsibilities

Generative Pipelines: Design applications for RAG, CAG, text classification, summarization, image/video generation, OCR, and synthetic data generation.
Multimodal Integration: Work with STT, TTS, IVR, OCR, and vision inputs to enable seamless AI interactions.
AI Agent Workflows: Develop modular, multi-step orchestrations for document, conversational, and data-based user journeys.
Containerization & Deployment: Collaborate with DevOps to containerize services, manage Kubernetes orchestration, and implement CI/CD for agile delivery.
Observability: Instrument services using OpenTelemetry, Prometheus, and logging tools to ensure SLO-driven production reliability.
Collaboration: Work cross-functionally with product, data science, and frontend teams to define APIs (REST/GraphQL) and ensure smooth integration.
Documentation & Mentorship: Participate in architecture reviews, write clear documentation, and mentor junior engineers and interns.

Requirements

Bachelor's/Master’s in Computer Science, Data Science, IT, or related field.
2–3 years of experience building AI/ML products in Python.
Must be proficient in AI-first coding tools like Claude Code, Cursor, Roocode, etc.
Proven experience in deploying GenAI applications and agents in production.
Strong hands-on with vector search, embedding-based retrieval, STT, TTS, OCR/vision.
Familiarity with Docker, Kubernetes, frontend development, and CI/CD workflows.
Strong debugging, performance tuning, and cost-optimization skills.
Excellent communication, teamwork, and mentoring abilities.

Technical Stack

Languages & Tools (mandatory)

Python (pandas, scikit‑learn, PyTorch, Tensorflow, etc.) | Git/GitHub | AWS or GCP.

Generative AI stack (mandatory)
LangChain, LlamaIndex, transformers, frontier LLMs (OpenAI, Anthropic, Gemini models) and open models (DeepSeek, Qwen, Llama and Phi models).
Vector stores: FAISS, Pinecone, Qdrant, Weaviate, etc.
Keyword Index: Elasticsearch, Apache Solr, Typesense, etc.
Validation frameworks: Pydantic, Instructor, etc.
LLM Abstraction libraries: LiteLLM
Asynchronous or parallel programming: asyncio, joblib, etc.
API frameworks: FastAPI, Flask, etc.
FE prototyping: Streamlit, Gradio, etc
Agentic AI Frameworks (mandatory, ≥1)

Google Agents Development Kit | LangGraph | OpenAI Agents SDK | PydanticAI.

Speech & Vision (nice‑to‑have)

OpenAI Realtime Voice API/Whisper; ElevenLabs/Smallest.ai TTS; LlamaParse/JinaAI/Mistral OCR.

Observability & Monitoring (nice‑to‑have)

OpenTelemetry | Prometheus | LangSmith | Pydantic Logfire .

Cloud & DevOps (nice‑to‑have)

Docker | Kubernetes | GitHub Actions.

Bonus Points

Domain experience in AgriTech, FinTech, HRTech or EduTech.
Experience and profound interest in reading and implementing research papers.
Open‑source contributions or published evaluation suites.
Exposure to managed cloud AI services (Vertex AI, Bedrock, JumpStart).
Familiarity with React/Next.js integration.

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