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Job Title: AI Engineer Consultant

Type: Fulltime

Location : Complete Remote

Experience: 8+Yrs

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).