AI Customer Engineer / AI Builders
- Source: Naukri
- Cognizant
- On-site
- Bengaluru
- Full-Time
- Mid level
Job Description
As an AI Customer Engineer, you will make an impact by building scalable AI agent solutions and accelerating enterprise adoption of Generative AI technologies. You will be a valued member of the AI Engineering team and work collaboratively with architects, product teams, and cross-functional stakeholders to deliver intelligent, production-grade AI applications.
Key Responsibilities:
- Build and deploy AI agents and GenAI-powered applications using modern frameworks and platforms
- Design and implement RAG pipelines, prompt engineering workflows, and LLM integrations
- Develop scalable backend services and APIs for AI-driven systems
- Enable cloud-native deployments with containerization and microservices architecture
- Collaborate with cross-functional teams to deliver reliable, secure, and high-performing AI solutions
Work Model: This is an onsite position requiring 5 days a week in a client or Cognizant office in Chennai/Bangalore/Hyderabad. Working arrangements are accurate as of the date of posting and may change based on project, business, and client requirements.
Required Skills:
- Hands-on experience with Google ADK or Microsoft Copilot Studio for building AI Agents (or similar tools such as CrewAI, AutoGen)
- Working knowledge of configuring prompts, instructions, tools, reasoning, and guardrails in AI Agent development
- Strong experience with RAG pipelines, Vector DBs, tokenization, and prompt engineering
- Hands-on experience building and maintaining Python libraries using LangChain, Hugging Face, OpenAI API, or local models
- Strong experience developing RESTful APIs in Python using frameworks like FastAPI, and integrating third-party services, UI components, and APIs
- Hands-on experience with Docker-based deployments and GitHub for version control (mandatory)
- Understanding of microservices design principles and cloud computing basics
- Strong communication and articulation skills
- Experience with end-to-end AI/GenAI project lifecycle
- Exposure to enterprise-scale, production-grade AI system deployments
- Ability to optimize performance, scalability, and reliability of AI models and services
- Strong collaboration skills across engineering, product, and business teams
- Adaptability to rapidly evolving AI tools, frameworks, and standards
Skills
- crewai
- guardrails
- Python
- LangChain
- hugging-face
- FastAPI
- Docker
- Github
You missed this one - but you don't have to keep missing out. Try Club members get matched with open opportunities before they're gone, so you're always first in line, never last.
