Artificial Intelligence Engineer

Company: Syren

Website: Visit Website

Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Salary Range: ₹ 22-28 Lacs PA

Job Description

The Senior AI Engineer will design, develop, and deploy AI models and Generative AI solutions for real-world business applications. The role requires strong hands-on expertise in model development, fine‑tuning, and integrating AI systems into production environments.

Key Responsibilities

• Design, build, and fine‑tune machine learning, deep learning, and Generative AI models.
• Develop Agentic AI systems using frameworks such as ADK, LangGraph, or similar.
• Build solutions using LLMs, RAG pipelines, embeddings, and vector databases.
• Implement AI systems for text, structured/unstructured data, and conversational use cases.
• Apply NLP techniques such as classification, summarization, entity recognition, and semantic search.
• Develop scalable algorithms for search, retrieval, and real‑time inference.
• Build and integrate AI microservices using APIs, event‑driven architectures, and cloud services.
• Deploy AI workloads using Docker, Kubernetes, and platforms like Azure ML, AWS SageMaker, or GCP Vertex AI.
• Optimize AI solutions for performance, cost, latency, and security.
• Collect, preprocess, and manage datasets for training and inference.
• Monitor and optimize models and prompts for accuracy and scalability.
• Collaborate with Solution Architects and business teams on production‑ready AI solutions.
• Promote Responsible AI practices including fairness and bias mitigation.
  
  

• Proficiency in Python, SQL, TensorFlow, and PyTorch.
• Strong understanding of Generative AI, transformers, embeddings, and fine‑tuning.
• Experience with Agentic AI frameworks (ADK, LangGraph, AutoGen).
• Knowledge of AWS, Azure, or GCP for AI deployment.
• Experience with prompt engineering, vector databases (Pinecone, Weaviate), and RAG.
• Hands‑on experience with cloud‑native AI deployments.
• Familiarity with APIs, microservices, and event‑driven architectures.
  
  

• Bachelor’s or master’s degree in computer science, AI, Data Science, or related field.
• Hands‑on experience with LLMs and Generative AI applications.
• Strong communication and interpersonal skills.