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Lead II - Software Engineering

Lead II - Software Engineering

UST

7 - 9 years

5 Lacs

bengaluru

Posted:2 days ago| Platform:

Apply

Skills Required

python development software development test cases aiml dbms user stories artificial intelligence coding software development life cycle technical design tensorflow framework design patterns kanban pytorch scrum debugging software engineering agile programming ml

Work Mode

Work from Office

Job Type

Full Time

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.

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
checklistsguidelinesstandards for design/process/development
Create/review deliverable documents. Design documentation
requirementstest 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 pointlibraries and client universities
Review the reusable documents created by the team

Release:

Execute and monitor release process

Design:

Contribute to creation of design (HLD
LLDSAD)/architecture for applicationsfeatures 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
opportunitiesetc
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
1. Functional & technical designing
2. Programming languages - proficient in multiple skill clusters
3. DBMS
4. Operating Systems and software platforms
5. Software Development Life Cycle
6. Agile - Scrum or Kanban Methods
7. Integrated development environment (IDE)
8. Rapid application development (RAD)
9. Modelling technology and languages
10. Interface definition languages (IDL)
11. Broad knowledge of customer domain and deep knowledge of sub domain where problem is solved
Additional Comments:

Job Title: Agentic AI Engineer Seeking an Agentic AI Engineer to design, build, and maintain autonomous, goal-driven AI systems that can plan, reason, and act with minimal human intervention. Responsibilities: Design and implement autonomous AI agents that can reason, plan, and execute tasks across dynamic environments. Integrate LLMs with tools, APIs, databases, and external environments to create powerful, context-aware agents. Develop agent architectures incorporating memory, reflection, self-correction, and long-term planning. Build systems that enable tool use (e.g., code execution, web search, data analysis) by AI agents. Implement evaluation and alignment strategies to ensure agent behavior aligns with human intent. Optimize agent performance with reinforcement learning, prompt engineering, retrieval-augmented generation (RAG), or fine-tuning. Collaborate cross-functionally with research, product, and infrastructure teams to deploy agentic systems in real-world applications. Stay up-to-date with advancements in agentic AI, LLMs, planning systems, and cognitive architectures. Key Skills: Strong programming skills in Python, with experience using libraries like LangChain, AutoGPT, CrewAI, or similar agentic frameworks. Deep understanding of LLMs (e.g., GPT-4, Claude, Mistral), prompt engineering, and chain-of-thought reasoning. Experience with tools and techniques such as vector databases, function calling, RAG, and toolformer-like strategies. Qualifications: 8-10 years overall experience 2-3 years of hands on experience in AI/ML Agentic AI Expertise with ML frameworks such as TensorFlow, PyTorch

Required Skills

AI,Agentic AI,LLM

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