Principal Architect at Ema

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Enterprise Software, TechnologyIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
12+ years of experience in backend systems, Lucene, Elasticsearch, vector datastores, infrastructure, and scale
Knowledge of indexing strategies, inverted indexes, sharding/replication, and managing large document corpora
Expertise in ranking algorithms (BM25, vector-based, hybrid)
Familiarity with relevance tuning, query understanding, and search result evaluation
Proficiency with metrics (precision, recall, NDCG, MRR, etc.)
Proven experience in building search infrastructure and scaling real-time systems on the search engine
Deep understanding of knowledge search
Deep expertise in cloud-native architecture, containerized services, and microservice orchestration (Docker, Kubernetes)
Solid understanding of LLM-based pipelines, knowledge retrieval, and secure document processing
Strong experience with data systems like PostgreSQL, Elasticsearch, and Redis

Responsibilities

Own the technical roadmap for Search at Ema, including Core Search Platform, integrations internally with other application teams, integrations with partner teams, and Open API specs to bring in data into Ema
Set the roadmap for the Data Ingestion Platform, enabling secure ingestion, transformation, and indexing of data from documents, spreadsheets, emails, and SaaS systems
Develop the Application Integration Platform to connect Ema to hundreds of third-party APIs, allowing agents to act across CRMs, ITSMs, HRIS platforms, and more
Design and scale the Search Platform to enable structured and unstructured data to flow seamlessly into Ema for search, reasoning, and generation
Own the architecture and implementation of Ema’s Search Index
Drive and collaborate with the LLMOps infrastructure, influencing how thousands of transforms can be developed by external contributors
Ensure platform support for diverse data formats (PDFs, spreadsheets, databases, charts, etc.) using PostgreSQL, Elasticsearch, and other relevant tools

Skills

Key technologies and capabilities for this role

PostgreSQLLLMOpsSearch ArchitectureData IngestionAPI IntegrationsSearch IndexingOpenAPIDocument Processing

Questions & Answers

Common questions about this position

What experience level is required for the Principal Architect role?

The role requires 12+ years of experience in backend systems, Lucene, Elasticsearch, vector datastores, infrastructure, and scale.

What key technical skills are needed for this position?

Candidates need expertise in indexing strategies, ranking algorithms like BM25 and vector-based, Elasticsearch, PostgreSQL, Docker, Kubernetes, and LLM-based pipelines.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What education is required for the Principal Architect position?

A Bachelor’s or Master’s degree in Computer Science, Engineering, or related field is required.

What does the company culture or team environment look like at Ema?

Ema is a stealth-mode startup founded by leaders from Google, Coinbase, and Okta, backed by top-tier investors, with offices in Silicon Valley and Bangalore, focused on high-leverage leadership roles in a collaborative engineering environment.

What makes a strong candidate for this Head of Search role?

A strong candidate has proven experience building and scaling search infrastructure, deep knowledge of search metrics like precision and recall, and expertise in real-time systems with tools like Elasticsearch and Kubernetes.

Ema

Develops enterprise AI solutions for workforce efficiency

About Ema

Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.

Mountain View, CaliforniaHeadquarters

2023Year Founded

$59.3MTotal Funding

SERIES_ACompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Hybrid Work Options

Risks

Emerging competition from startups like SilkFlo and Kognitos threatens Ema's market share.

Rapid customer base expansion may strain Ema's operational capabilities and service quality.

Reliance on multiple investors may lead to conflicting interests and strategic directions.

Differentiation

EmaFusionTM integrates over 100 LLMs for high accuracy and cost-effectiveness.

Ema offers secure AI employees adhering to SOC2, ISO27001, GDPR, HIPAA, and NIST standards.

Ema's no-code AI agents enable enterprises to deploy AI without extensive technical expertise.

Upsides

Ema's customer base has more than doubled since its launch in March 2024.

Ema secured $50M in Series A funding, enhancing its market position and capabilities.

Growing demand for AI-driven automation aligns with Ema's focus on AI employees.

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