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.