FarmwiseAI - Senior Generative AI Engineer

Role : Senior Generative AI Engineer

Location : Chennai (on-site)

Exp : 3 - 5 years

FarmwiseAI is a leading Geospatial AI company based in Chennai, specializing in AI driven agriculture solutions that enable data-driven decision-making for governments, lenders, and businesses. Founded in 2020, we deliver real-time advisory, automated land mapping, and crop-monitoring products at scale to foster sustainable development.

As an AI-first organization, we embed AI assistance across our entire product lifecycle from brainstorming and architecture to testing and deployment to empower every team member to leverage AI in their day-to-day work.

We are 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.

• 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
• Bachelor's/Masters 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.
• 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 : Lite LLM
• 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.
• 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
  
  

(ref:hirist.tech)