Senior AI Systems Architect (RAG & Agentic AI)- Contract Role

Senior AI Systems Architect (RAG & Agentic AI)

Consultant | Part-Time (20–30 hrs/week) | India
Compensation- ₹2,000 – ₹3,000 per hour (based on seniority & depth we’re open to negotiation with the right candidates)
Estimated monthly (20–30 hrs/week)
Experience: 5-8+yrs
Reports to: CTO
Location: Remote

We’re looking for a production-grade RAG & Agentic AI expert to design and scale real-world AI systems.This is NOT a prompt engineering or chatbot role.We need a backend/distributed systems engineer who has built and operated AI infrastructure under real traffic.

What You’ll Architect & Own

Retrieval-Augmented Generation (RAG)

• Knowledge base ingestion pipelines
• Token-aware & semantic chunking strategies
• Embedding model selection & tradeoffs
• Vector DB design & optimization
• Metadata filtering & multi-tenant isolation
• Hybrid search (vector + keyword)
• Retrieval reranking & high-QPS caching
• Retrieval evaluation (recall@k, MRR, hit rate)
• Grounded generation & hallucination mitigation
• Knowledge base versioning & rollback
• Large-scale indexing strategies

 Vector Search Systems

• Pinecone, Milvus, Weaviate, OpenSearch vector, etc.
• ANN indexing & similarity search optimization
• High-dimensional embedding tuning
• Query latency optimization
• Cost-performance tradeoffs in embedding storage
• Scaling under heavy concurrency

Agentic AI Systems

• Structured outputs (JSON schema enforcement)
• Tool-calling workflows
• Action gating & policy enforcement
• State-machine conversation design
• Retry/fallback strategies
• Confidence scoring
• Idempotent action execution
• Failure handling in multi-step workflows
• Hallucination containment
• Memory architecture (short-term, long-term, structured slots)

Production LLM Infrastructure

• Low-latency LLM pipelines
• Rate limiting & per-tenant quotas
• Token optimization & cost control
• Observability (latency, retrieval quality, tool accuracy)
• Distributed systems design
• Concurrency handling
• Fault tolerance & graceful degradation

Governance & Evaluation

• Document lifecycle management
• Knowledge version control
• Tenant-level data isolation
• Audit trails & retrieval traceability
• Compliance-aware data handling
• Offline retrieval evaluation
• Grounding verification
• Retrieval benchmarking datasets
• Continuous quality monitoring
• Drift detection
• Error analysis workflows

Ideal Background

• 5–8+ years backend engineering
• Strong distributed systems experience
• Search / Information Retrieval background
• Built production AI systems beyond prototypes
• Scaled systems under real traffic

Not a Fit If

• Only prompt engineering experience
• Only chatbot building experience
• Only academic ML without production systems
• Junior-level LLM API usage

Why Work With Us?

Joining Meera.AI means stepping into a challenging yet incredibly rewarding opportunity. As part of our team, you’ll help build digital marketing and outbound automation innovations from the ground up-alongside talented specialists and with strong financial backing.

Because we’re still in the early stages of our journey, you’ll gain first-hand experience in the full lifecycle of a fast-moving startup-from acquiring our first customers to scaling and raising multiple funding rounds. If you choose to grow with us.

What We Do at Meera.AI

Meera.AI is an AI-powered customer engagement and automation platform designed to help businesses scale conversations, accelerate lead conversions, and significantly boost revenue-without relying on manual outreach. We combine AI-driven SMS, voice, email, and WhatsApp automation with deep CRM integrations to help companies: Our mission is simple: to help businesses create meaningful, revenue-driving customer conversations using the power of AI.

Work/Life Balance at Meera.AI

We want to be honest about the realities of an early-stage startup. At this stage, flexible hours and hustle can make a meaningful difference in our impact. Sometimes this means working later into the evening or, on rare occasions, supporting a weekend push-but this is driven by personal ambition, not expectation.

We operate with:

• Flexibility: You manage your schedule in the way that helps you do your best work.
• No hidden expectations: We don’t expect anyone to overwork.
• Direct access to leadership: We maintain an open-door policy-everyone can reach out to the leadership team anytime for support or feedback.

Our Culture & Values

At Meera.AI, culture is everything. We look for individuals who thrive in ownership-driven, collaborative, and honest environments.

Our values include:

Curiosity: We are obsessively curious about all possibilities and options.  

Trust : We engage in ways that ignite and nurture trust with everyone, and within everything we do.

Empathy: We put human emotions into our solutions, humanizing everything.