AI Engineer

About the Role

We are seeking a AI Engineer with deep hands-on experience in Gemini Vertex AI and multi-cloud GenAI platforms to deliver production-grade LLM and RAG solutions at scale.

This is a delivery- and implementation-focused role with ownership across solutioning development and operationalization of AI systems. The role requires strong hands-on coding architectural thinking and the ability to adapt as AI technologies evolve rapidly.

Location: Anywhere in India (Fully Remote)

Working Model:** Offshore with **34 hours overlap with US time zones

Contract Duration: 6 months initially with strong potential for extension

Role Level & Expectations

Profile: Strong AI Engineer / Senior Individual Contributor

Ownership: Technical solutioning hands-on development

Leadership: Lead by example (technical depth architecture decisions) not people management

Focus: Delivery-first with flexibility to perform research experimentation and design as required

Day-to-Day Responsibilities

Build and orchestrate LLM agents using Gemini Pro and LangChain

Design implement and operate RAG solutions at scale

Integrate with Gemini and Vertex AI services using API-driven architectures

Debug and optimize end-to-end LLM pipelines including: chunking strategies embeddings retrieval logic LLM response behavior

Deliver production-ready AI services including monitoring rate limiting and reliability controls

Participate in solution design and technical decision-making

Continuously evaluate and experiment with new LLM models and features as they become available

Implement AI safety security and compliance controls across the AI lifecycle

Collaborate with cross-functional teams across time zones

MUST-HAVE Skills & Experience

Candidates must meet the majority of the following:

GenAI & LLM Engineering

Hands-on experience integrating Gemini Pro 1.x via API endpoints

Strong experience building LLM agents using LangChain or similar frameworks

Advanced understanding of prompt engineering and agent orchestration

Proven ability to debug end-to-end LLM systems including chunking embeddings retrieval and generation layers

RAG & Vector Search

Hands-on experience with vector databases (Pinecone Chroma FAISS)

Strong understanding of RAG architectures at scale

Practical knowledge of RAG evaluation metrics including: MRR nDCG Faithfulness and Answer Relevance

Solid grasp of vector similarity search fundamentals

Cloud & Multi-Cloud

Strong hands-on experience with Google Cloud Platform including: Storage services Serverless compute Search Transcription Chat / conversational services

Practical experience in multi-cloud environments

Working experience integrating AWS services alongside GCP

Programming & APIs

Excellent programming skills in Python PySpark or Java

Strong experience building scalable API-based AI solutions

Solid understanding of API rate limiting performance tuning and reliability

AI Safety Security & Compliance

Hands-on experience implementing AI safety and guardrails including: Input validation PII detection and redaction Reliability and hallucination checks Compliance controls

Knowledge of multi-layered security including IAM data isolation and audit loggin

NICE-TO-HAVE Skills (Strong Plus)

Experience using Terraform or Infrastructure-as-Code tools

Background in data analytics data engineering or data science

Knowledge of data warehousing concepts (ETL/ELT analytics platforms)

Experience evaluating and comparing new LLM models as they enter the market

Exposure to bias mitigation techniques in enterprise AI systems

Experience operating large-scale production RAG systems

What Success Looks Like

You independently design build deploy and debug Gemini-powered AI systems

You contribute meaningfully to solution architecture and technical strategy

You deliver production-ready AI solutions not prototypes

You adapt quickly as GenAI platforms and models evolve

About Opplane

Opplane specializes in delivering advanced data-driven and AI-powered solutions for financial services telecommunications and reg-tech companies accelerating their digital transformation journeys.
Our leadership team brings together Silicon Valley entrepreneurs and executives from some of the worlds top organizations including PayPal Xerox PARC Amazon Wells Fargo and SoFi with deep expertise in product management data governance privacy machine learning and risk management.

About the Team & Culture

Global & Multicultural Our team unites professionals from around the world blending diverse ideas and experiences that fuel innovation.
Startup Energy We move fast embrace change and turn ideas into action in a dynamic and high-impact environment.
Empowered Ownership Each team member owns their work and contributes directly to our collective success.
Collaborative & Friendly We foster an open approachable culture where collaboration and curiosity thrive.