AI Engineer

Position: AI Engineer

Location: Remote

Duration: Long Term- Contract 

Role Overview 

We are seeking a highly skilled Artificial Intelligence Engineer. You will be responsible for designing and deploying sophisticated AI agents and grounding them in unique business data to ensure trust and operational efficiency. 

Core Responsibilities 

Agentic Design & Implementation

● Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.

● Leverage the Agent Developer Kit ADK to build and manage multi-agent systems that collaborate to solve end-to-end business challenges.

● Implement tools like MCP Model Context Protocol) Toolbox to securely connect agents to enterprise databases like BigQuery and Spanner.

AI on Data Strategy

● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless integration with BigQuery for feature engineering.

● Build and optimize streaming data pipelines (e.g., via Dataflow) to execute real-time inference using RunInference API or Vertex AI endpoints.

● Ground AI models in live business context using vector engines within BigQuery or AlloyDB to eliminate "AI amnesia".

Operational Excellence (Soft Skills)

● Active Participation: Show up promptly for all internal and client-facing meetings.

● Transparent Communication: Provide regular, structured status updates to team members and stakeholders regarding project milestones and technical blockers.

● Proactive Collaboration: Demonstrate the ability to ask for help when facing technical hurdles and contribute to a collaborative troubleshooting environment.

● Consultative Approach: Navigate corporate environments to translate high-level business goals into robust technical architectures.

Technical Qualifications

● Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation.

● Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML engineering, and data preprocessing techniques (scaling, encoding, imputation).

● Cloud Infrastructure: Hands-on experience with Google Cloud Platform Cloud Storage and Vertex AI endpoints.

● Emerging Tech: Familiarity with stateful real-time processing and the latest innovations in agentic architectures.

Must be Google Cloud Eco System Experienced

Preferred Experience

● Background in financial services or retail to better understand industry-specific data logic (e.g., credit risk, royalty forecasting, or search relevance).

● Knowledge of privacy and compliance standards for handling PII through masking and redaction.

Alchemy: Transforming Your Professional Vision into Reality

Since our inception in 2013, Alchemy has been dedicated to reshaping organizational performance through innovative IT services. With a vision to empower businesses seeking a transformative edge, we’ve positioned ourselves at the forefront of digitization and software modernization.

Our name reflects our mission: to transmute technology into gold-standard solutions for our esteemed clients. We proudly serve a diverse range of sectors, including IT and ITES, BFSI, Telecom and Media, Automotive, Manufacturing, Energy, Oil and Gas, Real Estate, Retail, Healthcare, and more.

With a global footprint spanning the USA, India, Europe, Canada, Singapore, Japan, and parts of Central and West Africa, we harness a unique blend of competencies, frameworks, and cutting-edge technologies. Together, we drive growth and innovation across industries, helping organizations turn their visions into reality.

Alchemy – Connecting Talent with Opportunities (Diversity, Equity and Inclusion)