Ai ML Engineer
SAGUNA CONSULTING SERVICES · Remote · onsite · Posted 50d ago
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About this role
Role Overview
We are looking for an experienced AI Engineer with strong enterprise-level AI implementation experience. The ideal candidate should have hands-on experience designing, building, integrating, and deploying AI/ML and Generative AI solutions into real-world enterprise environments.
The candidate should be able to take AI solutions beyond PoC — from architecture and development through integration, deployment, scalability, monitoring, and production optimization.
Key Responsibilities- Design, develop and deploy enterprise-grade AI/ML and Generative AI solutions.
- Build and integrate LLM-based applications, AI Agents and RAG solutions into enterprise workflows and applications.
- Work with models such as GPT, Llama, Claude, Mistral or equivalent foundation models.
- Design scalable RAG pipelines, embeddings and vector-search solutions.
- Develop AI Agents using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks.
- Integrate AI capabilities with existing enterprise applications, APIs, databases and business systems.
- Optimize AI applications for performance, scalability, reliability, latency and cost.
- Implement model deployment, monitoring, evaluation and continuous improvement using MLOps practices.
- Build production-ready APIs, microservices and cloud-based AI applications.
- Work with cloud platforms such as AWS, Azure or GCP, along with Docker, Kubernetes and CI/CD.
- Collaborate with architects, engineering teams, product/business stakeholders and clients to translate business requirements into AI solutions.
- Where relevant, work on NLP, ASR/STT, TTS and voice-based AI applications.
- 5+ years in AI/ML Engineering / Applied AI / Generative AI
- Strong hands-on enterprise AI implementation / production deployment experience
- Python
- LLMs / Generative AI
- RAG, embeddings, vector databases
- AI Agents / Agentic AI
- Prompt engineering and LLM application development
- Model deployment and MLOps
- Cloud: AWS / Azure / GCP
- APIs, microservices and enterprise application integration
- Docker / Kubernetes / CI/CD
- PyTorch / TensorFlow / Hugging Face
- Fine-tuning / LoRA / PEFT
- NLP
- ASR/STT – Whisper, Deepgram, Azure Speech
- TTS – ElevenLabs, Coqui, Google TTS
- LangChain / LangGraph / CrewAI / AutoGen
- FastAPI / Flask
- Experience with enterprise-scale AI platforms or large organizations
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About SAGUNA CONSULTING SERVICES
SAGUNA CONSULTING SERVICES
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