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Job Details

Skills

AI
PYTHON
JAVA
RAG
MCP
RESTful

Summary

Role : AI Data Engineer

Location : Remote ( USA)

Experience level – 15+ yrs

JD :

Proven experience as a software engineer with strong proficiency in Python and/or Java, writing clean, scalable, production-grade code.

Solid experience designing and building microservices and RESTful APIs in distributed, cloud-based environments.

Experience designing, implementing, and extending AI agentic systems, including tool use, planning, and autonomous decision-making workflows.

Experience building multi-agent systems where multiple agents collaborate, delegate, and coordinate to complete complex tasks.

Hands-on experience building conversational or chat systems with both short-term (session) and long-term (persistent) context management.

Experience building Retrieval-Augmented Generation (RAG) systems – including document ingestion, chunking strategies, vector stores, and retrieval pipelines.

Experience building MCP servers

Experience integrating agentic systems with external APIs, third-party services, and enterprise data sources.

Strong understanding of security in agentic systems – authentication, authorization, least-privilege access, prompt injection defense, and audit logging.

Knowledge of relational databases (e.g. PostgreSQL, Microsoft SQL Server) and vector databases (e.g. Qdrant, Pinecone, pgvector, Weaviate).

Experience using system and performance monitoring tools (e.g. New Relic, Datadog).

Proficient in Git and comfortable working in CI/CD-driven development workflows.

Excellent critical-thinking, communication, and personal leadership skills.

Self-starter with the ability to deliver with minimal supervision.

BSc/BA in Computer Science or a related degree.

Bonus Points

Experience with distributed computing.

Experience writing code/scripts in Python.

Experience with Spring Boot.

Nice to have: React, Selenium automation and cloud experience.

Nice to have: document parsing systems, including extraction from PDFs, structured/unstructured data sources, and handling diverse file formats.

Experience with Docker, Kubernetes and Istio.

Experience with Ansible.

Experience with CI/CD pipelines using Spinnaker and/or GitHub Actions.

Linux and IP networking knowledge.

Experience with AWS/Azure cloud services or equivalent.

Experience with Terraform for infrastructure as code and cloud provisioning

Nice to have: Experience with SAML, OAuth and OpenID Connect.

Experience working on a SaaS product.

Experience with Service Oriented Architecture.

On-call experience with production grade systems.

Has mentored others in a professional setting.

Generative AI Code Assistants – Use of Generative AI Code Assistants (e.g. GitHub Copilot) and knowledge of latest Generative AI model capabilities

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10432368
Position Id: 9043140
Posted 5 hours ago

Fitment

Dice Job Match Score™

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Sunitha Maddineni

Recruiter @ VensIT Corp

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W2// AI Data Engineer

Skills

Summary

Dice Job Match Score™

Sunitha Maddineni

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