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Globallogic
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Agentic AI Developer

Agentic AI Developer

Globallogic

5 - 10 years

20 - 27 Lacs

gurugram

Posted:2 days ago| Platform:

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Skills Required

continuous integration unit testing framework ci/cd express jasmine artificial intelligence docker microservices cloud git gcp devops debugging mysql bigquery ml communication skills jira cd rest karma application engine jest grpc dataproc integration testing agile data flow

Work Mode

Work from Office

Job Type

Full Time

Job Description

Description:

Agentic AI is must

Requirements:

Education:

Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related field
Certifications in AI/ML, Generative AI, or Cloud platforms (AWS/GCP) are a plus
A Candidate should have atleast 5+ years of Experiences

The Agent Developer will be a key contributor to our initiative to build and launch assistive agents. This role involves designing, developing, and deploying AI-powered agents that enhance efficiency in program tracking, governance, and execution. The Agent Developer will be responsible for bringing the defined requirements and use cases to life, working with a variety of internal tools and data sources.

Technical Skills:

Agentic AI is must.
API Development & Integration
: Experience in consuming and building REST APIs, gRPC
Database Skills
: Working knowledge of MySQL or Cloud Spanner or equivalent relational databases
Cloud Knowledge
: Familiarity with Google Cloud Platform (GCP) (like GCE,Google App Engine,Google Cloud Storage,BigQuery, Dataflow,DataProc,AI Platform,Cloud AutoML
Testing & Debugging
: Solid understanding of unit testing frameworks like Jasmine, Karma, or Jest. Proficiency in debugging, writing unit/integration tests, and validating AI workflows
Machine Learning Fundamentals
: Solid understanding of ML (machine learning concepts), algorithms, and their application in building intelligent systems.
Generative AI & LLMs
: Practical experience with Generative AI models, including large language models (LLMs) like PaLM, Gemini, or GPT, for building assistive agents and generating human-like text.
AI/ML Integration
: Understanding of building assistive agents using Generative AI (e.g., LLMs like PaLM, Gemini, GPT)
Tool Integrations
: Experience integrating with internal/external tools such as Buganizer, Jira, Taskflow, Chiron, and RA
Data Handling
: Knowledge of data sourcing, grounding, lineage, and attribution techniques to ensure reliable agent responses
Personalization
: Ability to implement contextual and user-specific response logic within AI agents

Soft Skills & Collaboration:

Strong problem-solving skills with a focus on building reliable, scalable, and efficient agent experiences
Ability to work in cross-functional teams, including developers, SMEs, product managers, and data scientists
Effective written and verbal communication skills
Adaptability to fast-paced, experiment-driven environments
Experience working in Agile/Scrum teams

Nice to Have

Familiarity with version control systems (e.g., Git)
Experience in RESTful API design and integration
Experience with backend frameworks such as ExpressJS
Experience with CI/CD pipelines and DevOps practices
Familiarity with microservices architecture
Experience with Docker or containerization
Knowledge of security best practices in web development

Job Responsibilities:

Key Responsibilities:

Agent Development
: Ability to Design, develop, and implement assistive agents based on the requirements and use cases
Integration
: Develop robust integrations with various internal & external tools and platforms, including Buganizer, Jira, Taskflow, Chiron, and RA, to feed data into the agents.
Data Handling
: Implement mechanisms for data sourcing, grounding, lineage, and attribution to ensure agent responses are accurate, relevant, and traceable.
Personalization
: Develop features that enable personalization of agent responses to tailor information to specific users or groups.
Automation & Scripting
: Implement automation solutions and develop custom scripts (e.g., Python) to extend agent capabilities for use cases not supported out-of-the-box.
Testing & Debugging
: Conduct thorough testing, identify and debug issues, and ensure the reliability and performance of developed agents.
Experimentation & Evaluation
: Participate in the design and execution of experiments to evaluate agent performance, identify areas for improvement, and implement corrections.
Code Quality
: Write clean, maintainable, and well-documented code following best practices.
Collaboration
: Work closely with Agent Development SMEs, other developers, and product managers to deliver high-quality agent solutions.

What We Offer:

Exciting Projects:

Collaborative Environment:

Work-Life Balance:

Professional Development:

Excellent Benefits:

Fun Perks:

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Personal Settings

Agentic AI Developer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Education:

Technical Skills:

Agentic AI is must.

API Development & Integration

Database Skills

Cloud Knowledge

Testing & Debugging

Machine Learning Fundamentals

Generative AI & LLMs

AI/ML Integration

Tool Integrations

Data Handling

Personalization

Soft Skills & Collaboration:

Nice to Have

Key Responsibilities:

Agent Development

Integration