AES - DE - Generative AI Application Developers

Zensar

8 - 13 years

25 - 30 Lacs

pune

Posted:19 hours ago| Platform:

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Skills Required

cloud computing orchestration gcp debugging rpg software development life cycle sdlc monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

AI Engineer

7+ YRS

PUNE/HYDERABAD/BANGALORE

Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work withWelcome to Zensar! Read on for more details on the role and about us.

Skills required to contribute:

Requirements

Design and build agentic AI systems: Develop autonomous AI agents capable of planning, reasoning, and executing complex, multi-step tasks across different systems with minimal human intervention.
Automate business workflows: Identify and automate repetitive, time-consuming business processes using AI agents, freeing up human resources for more strategic work.
Enhance developer efficiency: Create AI-powered tools and agents that assist developers throughout the software development lifecycle (SDLC). This includes automating code generation, refactoring, debugging, and documentation.
Improve business KPIs: Collaborate with business stakeholders to identify critical performance indicators and design AI solutions that directly contribute to their improvement, such as increased revenue, reduced costs, or higher customer satisfaction.
Integrate AI agents with enterprise systems: Develop and manage APIs and integrations for AI agents to interact with a wide range of company platforms, including databases, collaboration tools, and existing software.
Orchestrate multi-agent workflows: Utilize frameworks to coordinate multiple AI agents in collaborative workflows to solve larger business challenges.
Maintain ethical and safety standards: Implement guardrails and monitoring to ensure AI agents operate responsibly, are secure from adversarial attacks (like prompt injection), and adhere to ethical guidelines.
Conduct research and stay current: Keep up with the latest advancements in agentic AI, LLMs, and development practices. Apply this knowledge to continuously improve solutions and identify new opportunities for AI implementation

Experience

Overall 7 ~ 8 years of experience with proven experience (4+ years) in AI/ML software development, focusing on building agentic or autonomous systems.
Proficiency in Python: Strong, demonstrated expertise in Python and related AI/ML libraries like PyTorch, TensorFlow, and Hugging Face.
Agentic Frameworks: Hands-on experience with AI agent orchestration frameworks
API and Integration: Solid background in API development using frameworks like FastAPI or Flask, and experience integrating diverse systems.
Cloud Platforms: Experience with cloud computing environments (e.g., AWS, Azure, GCP) and services relevant to AI deployment.
Databases: Experience with both SQL and vector databases (e.g., Pinecone, Chroma) for retrieval-augmented generation (RAG) and memory systems.
Soft Skills: Strong problem-solving abilities, excellent communication skills for collaborating with cross-functional teams, and the ability to translate technical concepts for non-technical stakeholders

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