SourcingXPress
Website:
sourcingxpress.com
Job details:
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.
Required Skills
- 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.
Qualifications
- 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.
Click on Apply to know more.