FarmwiseAI - Senior Generative AI Engineer - Python

3 weeks ago

Chennai, India FarmwiseAI Pvt Ltd Full time

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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