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FarmwiseAI - Senior Generative AI Engineer - Python

FarmwiseAI - Senior Generative AI Engineer - Python

FarmwiseAI Pvt LtdChennai
10 days ago
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).
  • (ref : hirist.tech)

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