Job Description

7 - 9 Years
1 Opening
Bangalore

Role 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.



Outcomes:



Interpret the application feature and component designs to develop the same in accordance with specifications.

Code debug test document and communicate product component and feature development stages.

Validate results with user representatives integrating and commissions the overall solution.

Select and create appropriate technical options for development such as reusing improving or reconfiguration of existing components while creating own solutions for new contexts

Optimises efficiency cost and quality.

Influence and improve customer satisfaction

Influence and improve employee engagement within the project teams

Set FAST goals for self/team; provide feedback to FAST goals of team members


Measures of Outcomes:



Adherence to engineering process and standards (coding standards)

Adherence to project schedule / timelines

Number of technical issues uncovered during the execution of the project

Number of defects in the code

Number of defects post delivery

Number of non compliance issues

Percent of voluntary attrition

On time completion of mandatory compliance trainings


Outputs Expected:



Code:



Code as per the design

Define coding standards
templates and checklists


Review code - for team and peers



Documentation:



Create/review templates
checklists

guidelines

standards for design/process/development


Create/review deliverable documents. Design documentation
requirements

test cases and results




Configure:



Define and govern configuration management plan

Ensure compliance from the team



Test:



Review/Create unit test cases
scenarios and execution


Review test plan created by testing team

Provide clarifications to the testing team



Domain relevance:



Advise software developers on design and development of features and components with deeper understanding of the business problem being addressed for the client

Learn more about the customer domain and identify opportunities to provide value addition to customers

Complete relevant domain certifications



Manage Project:



Support Project Manager with inputs for the projects

Manage delivery of modules

Manage complex user stories



Manage Defects:



Perform defect RCA and mitigation

Identify defect trends and take proactive measures to improve quality



Estimate:



Create and provide input for effort and size estimation and plan resources for projects



Manage knowledge:



Consume and contribute to project related documents
share point

libraries and client universities


Review the reusable documents created by the team



Release:



Execute and monitor release process



Design:



Contribute to creation of design (HLD
LLD

SAD)/architecture for applications

features business components and data models




Interface with Customer:



Clarify requirements and provide guidance to Development Team

Present design options to customers

Conduct product demos

Work closely with customer architects for finalizing design



Manage Team:



Set FAST goals and provide feedback

Understand aspirations of the team members and provide guidance
opportunities

etc


Ensure team members are upskilled

Ensure team is engaged in project

Proactively identify attrition risks and work with BSE on retention measures



Certifications:



Obtain relevant domain and technology certifications


Skill Examples:



Explain and communicate the design / development to the customer

Perform and evaluate test results against product specifications

Break down complex problems into logical components

Develop user interfaces business software components

Use data models

Estimate time and effort resources required for developing / debugging features / components

Perform and evaluate test in the customer or target environments

Make quick decisions on technical/project related challenges

Manage a team mentor and handle people related issues in team

Have the ability to maintain high motivation levels and positive dynamics within the team.

Interface with other teams designers and other parallel practices

Set goals for self and team. Provide feedback for team members

Create and articulate impactful technical presentations

Follow high level of business etiquette in emails and other business communication

Drive conference calls with customers and answer customer questions

Proactively ask for and offer help

Ability to work under pressure determine dependencies risks facilitate planning handling multiple tasks.

Build confidence with customers by meeting the deliverables timely with a quality product.

Estimate time and effort of resources required for developing / debugging features / components


Knowledge Examples:


Appropriate software programs / modules
+ Functional & technical designing

+ Programming languages - proficient in multiple skill clusters

+ DBMS

+ Operating Systems and software platforms

+ Software Development Life Cycle

+ Agile - Scrum or Kanban Methods

+ Integrated development environment (IDE)

+ Rapid application development (RAD)

+ Modelling technology and languages

+ Interface definition languages (IDL)

+ Broad knowledge of customer domain and deep knowledge of sub domain where problem is solved

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI,Gen AI,RAG,Data Science Experience 8 to 10 Years Location Bengaluru 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. : 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 Qualificaiton: Graduate

Skills

AI,NLP,Python,Datascience

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.