Engineering Leader at Ema

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Enterprise SoftwareIndustries

Requirements

Candidates must possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with at least 12 years of experience in backend systems, lucene, elastic search, vector datastores, infrastructure, and scale. Required knowledge includes indexing strategies, inverted indexes, sharding/replication, managing large document corpora, ranking algorithms (BM25, vector-based, hybrid), relevance tuning, query understanding, search result evaluation, and proficiency with metrics such as precision, recall, NDCG, and MRR. Proven experience in building search infrastructure and scaling real-time systems on search engines is essential, along with a deep understanding of knowledge search, cloud-native architecture, containerized services, microservice orchestration (Docker, Kubernetes), LLM-based pipelines, knowledge retrieval, secure document processing, and data systems like PostgreSQL, Elasticsearch, and Redis.

Responsibilities

The Engineering Leader will own the technical roadmap for Ema's Search platform, encompassing the core search platform, internal and partner integrations, and open API specifications for data ingestion. This role involves setting the roadmap for the Data Ingestion Platform to securely ingest, transform, and index data from various sources, and for the Application Integration Platform to connect Ema with third-party APIs. Responsibilities include designing and scaling the Search Platform for seamless data flow, owning the architecture and implementation of Ema's Search Index, and driving LLMOps infrastructure to support the development of numerous transforms. The leader will ensure platform support for diverse data formats using PostgreSQL, Elasticsearch, and other relevant tools.

Skills

Architecture

PostgreSQL

LLMOps

OpenAPI

APIs

Data Ingestion

Data Transformation

Indexing

PDF

Spreadsheets

Databases

Charts

CRMs

ITSM

HRIS

Generation

Integration

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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