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: