AIML Senior Developer
Share
Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: AI/ML Senior Developer
Experience: 5–8 Years
Location: Bangalore (Onsite)
Company Type: Product-based AI B2B SaaS
Role Overview
We are looking for an AI/ML Senior Developer to design build and optimize AI-powered features and conversational systems for B2B SaaS products. This role focuses on working with large language models (LLMs) such as GPT and Anthropic models including prompt engineering fine-tuning/tweaking and model evaluation.
The ideal candidate is hands-on comfortable with AI-assisted development tools like Cursor or GitHub Copilot and experienced in building production-grade chatbots and AI workflows.
Key Responsibilities
Design and develop AI/ML-powered features using LLMs (GPT Anthropic etc.)
Analyze evaluate and optimize LLM behavior responses and performance
Perform prompt engineering prompt tuning and response optimization
Build train and maintain AI chatbots and conversational agents
Integrate AI models into B2B SaaS products via APIs and microservices
Implement feedback loops for continuous improvement of AI outputs
Use AI-assisted development tools (Cursor GitHub Copilot etc.) for faster and cleaner development
Collaborate closely with Product ML Full Stack and QA teams
Ensure scalability reliability security and compliance of AI components
Required Skills & Experience
5–8 years of experience in AI/ML development or advanced backend engineering
Strong hands-on experience with LLMs such as GPT Anthropic or similar
Expertise in prompt engineering prompt tuning and output optimization
Experience building and deploying AI chatbots and conversational systems
Strong programming skills in Python (preferred) or other relevant languages
Experience integrating AI models via APIs into production systems
Familiarity with cloud platforms (AWS / Azure / GCP)
Understanding of AI model evaluation hallucination handling and response validation
Good to Have
Experience with RAG (Retrieval-Augmented Generation) architectures
Exposure to vector databases (Pinecone FAISS Weaviate etc.)
Experience with MLOps and model lifecycle management
Knowledge of data privacy security and AI governance
Experience working in product-based or SaaS companies
Why Join Us
Work on cutting-edge AI B2B SaaS products
Own and shape AI-driven product experiences
Collaborate with highly skilled engineering and ML teams
Hands-on role with real impact on product innovation
Key Skills
- APIs
- REST
- Spring
- SOAP
- .NET
- React
- Node.js
- Angular
- J2EE
- JavaScript
- Web Services
- Java
