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 3–4 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: Precision@K, Recall@K, 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 world’s 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.