Sr. Engineer / Asst. Manager - Design

Job Details

- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science

Experience 8 to 10 Years

Location Bengaluru

Job Description

Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed

Education Qualification: Graduate

Skills: AI, NLP, Python, Data science

Must-Haves

Skills

AI, NLP, Python, Data science

NP: Immediate – 30 Days

ROLES AND RESPONSIBILITIES:

·       Working with technical architects, able to convert the architecture into design and code in Java (Spring Boot), AngularJS, and NodeJS.

·       Able to generate LLD documents.

·       Ability to write Quality code with minimum defects.

·       Unit Test and following the coding standards.

·        

PREFERRED QUALIFICATION AND SKILLS:

·       5+ years strong programming and logical skills in Java (Spring Boot), AngularJS, Object Oriented Java script, NodeJS and HTML5

·       Hands on Experience on Java (Spring Boot), and MySQL is mandatory. Must have completed at least 2 full projects using Spring boot and AngularJS.

·       Excellent knowledge and experience in Spring JPA, RESTful webservices implementation.

·       NodeJS experience is value add

·       Should have participated in, and be familiar with, Agile (Scrum) project methodology and practices.

·       Must be able to mentor and guide junior technical resources.

·       One who is proactive and come forward with technology related initiatives. Motivated self-starter. 

·       Good Communication skills. English - Oral and Written.

• Understand the business requirements and prepare the requirements documents
• Conduct knowledge transfer sessions with the development team
• Will be responsible for creating user stories and test cases
• Perform Software testing, GUI, Functional Testing, and Usability testing
• Work closely with the development and QA teams to ensure that the right product goes out to the customers

Requirements

• Excellent Communication
• 2+ Years of experience
• Should be able to conceptualize ideas and propose solutions to customers
• Should have experience creating wireframes
• Good in documentation
• Good understanding of SDLC
• worked on multiple systems

Our client in Education startup is looking for an experienced and resourceful Business Development Executive to develop and implement growth opportunities in existing and new markets.

* Create awareness of various programs conducted by the company to teachers from various schools, colleges, University

* Drive participation for various paid or unpaid Webinar programs

* Advise potential participants on our Executive and Certificate Programs

* Maintain market and competitor awareness, developing and presenting ideas for new opportunities.

* Follow-up on warm and hot leads via calls, emails, WhatsApp messages, SMS etc.

* Lead Generation

* Responsible for the entire Sales Cycle which includes engaging customers via phone calls, product demonstration, sales closing, and post-sales relationship management.

* Help customers understand and imagine the possibilities and potential that our platform provides to them

* Taking up revenue responsibility.