AI Engineer Consultant

About the role

Job Title: AI Engineer Consultant

Type: Fulltime

Location : Complete Remote

Experience: 8+Yrs

Skills: AI/ML, LLM, RAG, React, Microservices

Job Description:

Key Responsibilities:

AI Engineering:

Integrate AI/ML models and LLM based applications into production systems

Experience in building end to end Gen AI based applications/solutions

Collaborate with data scientists to operationalize AI pipelines

Implement features for model evaluation, monitoring, and feedback loops.

DevOps & CI/CD:

Maintain automated pipelines for build, test, and deployment.

Ensure compliance with code quality and security standards.

Drive end-to-end design, building, and deployment of enhancements using Python, APIs, and Microservices.

Scalability & Performance:

Design systems for horizontal scaling and fault tolerance.

Conduct performance tuning and load testing to ensure optimal resource utilization.

Foundational Services:

Build reusable frameworks and services that support multiple AI platform components.

Implement secure handling of sensitive data (PHI/PII redaction)

Database & Data Management

Work extensively with No SQL databases (Mongo DB, Cosmos DB)

Ensure efficient data ingestion and retrieval for AI-driven applications.

Professional Qualifications:

Must have good communication and interpersonal skills.

Ability to guide the team and deliver as an Individual Contributor without much supervision.

Required Skills:

Programming: Python, JavaScript (React/Angular), Java or Go for backend.

Backend Expertise: Microservices architecture, RESTful APIs, distributed systems.

AI/ML Tools: TensorFlow, PyTorch, LangChain, Vertex AI, LLMs

Agentic AI & Google ADK: Experience designing and implementing production-grade Agentic AI systems using Google ADK, including multi-agent workflows, tool-calling, and Model Control Plane (MCP) Server services (for exposing internal tools/APIs).