T
Tenarai Technologies
AI / ML Developer
Skills
MicroservicesMachine LearningAINo-code AutomationsFastAPI
6 days ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
15 October 2026
What they need
- We are looking for a Senior AI/ML Engineer with 68 years of overall experience and strong hands-on expertise in Machine Learning and Generative AI (4–6 years).
- This role focuses on building, deploying, and scaling AI solutions, including ML models, LLM-powered applications, and AI agent-based systems."
- Key responsibilities & Hands-on experience with:
- Can do Model Development (Core Responsibility)
- Can build & refine ML models for use cases like anomaly detection, forecasting, classification, and RCA (root cause analysis).
- Can perform data exploration, feature engineering, and statistical analysis to improve model accuracy and insights
- Can design and evaluate LLM prompts, embeddings, and response quality for GenAI applications (RAG, copilots)
- Can work on to build Agents, Multi-agents, Decision Flows
- Can build scalable AI systems as GenAI / Engineer
- Will Design and Implement data pipelines (ingestion ? preprocessing ? embeddings ? storage)
- Will Generate design prompts for: Root cause explanation, Failure reasoning, Contextual insights
- Will Develop APIs/microservices (FastAPI, backend services)
- Will Handle vector DB setup & performance tuning
- Will Integrate with Enterprise tools like QIR systems, model outputs, APIs,UI / dashboards
- Will Manage data flow between systems
Required Skills & Qualifications
- Design, build, and deploy machine learning models and Generative AI solutions, including LLM-based applications, RAG pipelines, and AI agents for real-world use cases.
- Develop and optimize end-to-end AI pipelines (data preprocessing, feature engineering, model training, evaluation, and deployment).
- Implement LLM frameworks (LangChain/LlamaIndex) and integrate with vector databases
- Experience building AI Agents / multi-agent systems
- LLMs (OpenAI, Llama, Mistral, etc.), LangChain / LlamaIndex,
- RAG (Retrieval Augmented Generation), AI Agents / workflow automation
- Vector Databases & Retrieval, Knowledge of embeddings and semantic search
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