Backend Engineer, AI Content Agents Job at Hightouch

Platform Engineer, Agent Collaboration Platform

Platform engineering at Hebbia is about excellent, scalable enablement. You are ...

Location

United States , New York City; San Francisco

Salary:

160000.00 - 300000.00 USD / Year

Hebbia

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
5+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering
Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go
Deep understanding of scalable system design, performance optimization, and resilience engineering
Extensive experience with cloud platforms (e.g., AWS)
Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis
Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect
Proven experience enabling observability patterns
Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts
Proven experience in leading software development projects and collaborating with cross-functional teams

Job Responsibility

Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs
Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume
Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents
Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth

What we offer

PTO: Unlimited
Insurance: Medical + Dental + Vision + 401K
Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
Fertility benefits: $15k lifetime benefit
New hire equity grant: competitive equity package with unmatched upside potential

Fulltime

Data Engineer

As a Data Engineer, you’ll build and refine the pipelines, data models, and serv...

Location

United States , Redmond

Salary:

155000.00 - 175000.00 USD / Year

2A Consulting

Expiration Date

Until further notice

Requirements

Proven ability to design and build end-to-end data systems, from ingestion through cleaning, structuring, storage, and serving
Experience building and shipping data products that deliver practical value
Demonstrated impact using AI models in data workflows (applied use, not ML research)
5+ years of software or data engineering experience, including at least 2 years of hands-on work with data pipelines
Comfortable defining architecture and starting systems from scratch, working independently in a small cross-functional team
Proficiency in Python, SQL, or similar languages used in data engineering workflows

Job Responsibility

Build and maintain core data pipelines
Build and maintain end-to-end ingestion pipelines for documents, datasets, code repositories, videos, transcripts, and internal knowledge sources
Clean, normalize, structure, and store data in formats that support both web applications and AI-driven use cases
Use “out of the box” Microsoft tools—such as Fabric, Azure services, Cosmos DB, or Copilot Studio—to create reliable, maintainable systems
Enrich and model research data
Use AI models to transform unstructured content into structured metadata and durable knowledge assets
Design the architecture and foundational data systems, establishing the patterns and infrastructure for a new, scalable environment
Develop and refine embeddings, vector indexes, and retrieval components to support semantic search and grounding scenarios
Build backend and data services
Build data services, APIs, and backend components that power internal applications and agent-supported workflows

What we offer

Flexible time-off plan
100% employer-paid medical, dental, and vision insurance
Employer-paid life insurance for those enrolled in medical coverage
401(k) plan with company match
Fertility, surrogacy, and adoption benefits
Fitness and caregiver benefits
Employee Assistance Program
100% employer-paid short- and long-term disability coverage

Fulltime

Senior Software Engineer II - Frontend - AI Search

Join us at Seismic, a cutting-edge technology company leading the way in the Saa...

Location

India , Hyderabad

Salary:

Not provided

Seismic

Expiration Date

Until further notice

Requirements

7+ years of experience in software engineering, with experience contributing to frontend or UI-focused web applications
Experience with HTML, CSS, and modern JavaScript (ES6+)
Experience building user interfaces using React, including functional components, hooks, and state management patterns
Full-stack experience (C#, Node.js, Python) a plus
Experience with TypeScript, including writing strongly typed components and APIs
Familiarity with modern CSS techniques such as CSS Modules, styled-components, Tailwind, or similar approaches
Experience integrating frontend applications with REST or GraphQL APIs
Working knowledge of automated frontend testing practices (e.g., Jest, React Testing Library, Cypress, Playwright)
Experience using Git for source control and collaborating through pull requests
Familiarity with CI/CD concepts and modern frontend pipelines, including GitHub Actions

Job Responsibility

Contribute to the development and maintenance of backend systems that power our web application, including search, content discovery, and AI capabilities
Contribute to the design, development, and maintenance of backend systems and services supporting search functionality, ensuring performance, scalability, and reliability
Assist in implementing search and/or AI-related features, including indexing, retrieval, and ranking logic, to improve search accuracy and efficiency
Collaborate with engineers, AI partners, and product teams to integrate search and AI-driven capabilities across the Seismic platform
Participate in monitoring and performance tuning efforts, identifying routine bottlenecks and applying guided improvements to ensure acceptable query latency
Work closely with cross-functional and geographically distributed teams, including product managers, frontend engineers, and UX designers, to support seamless search experiences
Learn and apply new tools, technologies, and best practices related to search, backend development, and AI systems

Fulltime

Senior Software Engineer (AI Applications)

Cambium Assessment Inc is seeking a Senior Software Engineer to develop AI appli...

Location

United States of America

Salary:

120000.00 - 180000.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

5+ years in software engineering, including 2+ years in a Senior/Staff-level capacity leading significant technical initiatives
Proven, hands-on experience building complex agentic systems, including proficiency with tool calling, advanced prompt optimization, and comprehensive context engineering
Deep, practical experience integrating with LLMs, coupled with strong skills in prompt engineering and Retrieval-Augmented Generation (RAG) pipelines
Strong expertise in at least two of the following programming languages: Python, JavaScript/TypeScript, or C#
Experience deploying and managing systems on at least one of the major cloud platforms (AWS, GCP, or Azure), utilizing containerization and implementing robust observability tooling
Proven experience building and deploying robust, high-throughput full stack solutions including backend services/APIs that integrate with AI models and orchestrate complex workflows
Familiarity with vector databases and embedding models
Demonstrated experience designing secure systems capable of safely handling untrusted code execution or complex user-generated content
Excellent communication, collaboration skills, and the ability to autonomously drive technical initiatives from initial prototype through to high-scale production

Job Responsibility

Design, build, and deploy robust Generative AI agents featuring advanced capabilities like persistent memory, shared state management, and complex multi-step reasoning workflows specifically tailored for real-world educational applications
Drive the development of cutting-edge, AI-enabled web based educational software systems that redefine user interaction and learning outcomes
Seamlessly incorporate Generative AI features into existing platforms, focusing on optimizing performance, ensuring a seamless UX, and maintaining strict safety compliance
Expertly leverage Large Language Models (LLMs) and multimodal models to deliver highly intelligent, context-aware user experiences
Establish and maintain frameworks for comprehensive agent evaluation, including rigorous testing, critical safety assessments, and detailed performance monitoring
Partner closely with other teams to translate complex user needs and learning workflows into scalable, production-ready agentic capabilities
Act as a subject matter expert, guiding engineers on advanced agent design patterns, optimal LLM integration strategies, and best practices for building secure, autonomous systems
Contribute to a mission-driven environment focused on innovation, measurable impact, and the ethical, responsible development and deployment of AI enabled products

What we offer

Remote First Work Environment
Reimbursement to help cover the cost of setting up your home or remote office

Fulltime

Senior AI Engineer

At JFrog, we're reinventing DevOps to help the world's greatest companies innova...

Location

Israel , Netanya/Tel Aviv

Salary:

Not provided

JFrog

Expiration Date

Until further notice

Requirements

5+ years in production ML/AI and backend systems
recent hands-on experience with backend LLM systems, including agent workflows (e.g., LangGraph or similar), LangChain tooling and chains, state management, and streaming (e.g., SSE)
proficient in Python
comfortable with LangGraph, LangChain, FastAPI, PostgreSQL, and optionally Azure AI Search or similar
experience with LLM providers (OpenAI/Azure, Google Vertex AI, etc.) and RAG (retrievers, chunking, reranking)
proven track record building production GenAI applications, including multi-step agents, RAG, tool-augmented LLMs, and ideally human-in-the-loop or review flows
Bachelor's degree or higher in Computer Science or a related field
strong communication and collaboration skills

Job Responsibility

Design and own agent architectures – Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production
Turn product and user needs into backend AI – Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations, including agent types, tools, RAG pipelines, and configuration-driven behavior
Design, develop, and deploy GenAI capabilities end-to-end – LangChain tools and integrations, RAG (retrievers, vector stores, agentic flows), structured outputs, and APIs for chat, Copilot-style integrations, and MCP
Raise the bar on quality and reliability – Establish patterns for observability (e.g., LangSmith), error handling, content safety, bounded autonomy (tool schemas, review workflows), and evaluation systems so that AI behavior is predictable and auditable
Mentor and align the team – Provide technical guidance on LLM backend architecture and LangGraph/LangChain best practices so the team can iterate quickly and safely

Senior AI Engineer (Agents)

We are looking for an experienced and exceptional Senior AI Engineer (Agents) to...

Location

Singapore

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, or a related field, or equivalent practical experience
5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java)
Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using LLMs (OpenAI, Anthropic, open-source models)
Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, and conversation flow management
Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions
Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling
Deep knowledge of REST API design and integration patterns
Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases
Strong understanding of software architecture, scalability, security, and system design

Job Responsibility

Design and implement advanced AI/ML systems with a focus on LLMs, AI Agents, and retrieval-augmented generation (RAG) architectures
Build conversational AI interfaces that handle multi-turn customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary
Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale
Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, and conversation outcomes to improve model performance over time
Create analytics dashboards and reporting tools to track automation effectiveness, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores
Lead technical initiatives for AI system integration into existing products and services
Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models

AI Engineer

We're looking for an AI Engineer to evolve our intelligent Assistant that proces...

Location

Salary:

Not provided

Stravito

Expiration Date

Until further notice

Requirements

Production AI expertise: Proven track record shipping ML/AI features to users, especially in content-heavy applications, whether using frameworks like OpenAI Agents SDK and Langfuse or building custom orchestration
Backend strength: Strong JVM experience (Kotlin/Java) with distributed systems, Python knowledge, understanding of latency/quality tradeoffs in AI systems, and experience with LLM evaluation and monitoring
Team collaboration: Strong communication skills, curious and innovative mindset, with demonstrated success working cross-functionally with product and design teams

Job Responsibility

Create AI-powered workflows that eliminate tedious insights work: automatic report generation, intelligent summarization across hundreds of sources, and proactive insight discovery from vast content libraries
Integrate cutting-edge AI capabilities: Implement multi-model orchestration (LLMs, embeddings, classifiers), build robust fallback systems, and ensure consistent performance across diverse document types and languages
Collaborate on full-stack AI delivery: Partner with product and engineering teams to ship features end-to-end, from ML pipelines to APIs to user interfaces that make AI accessible for non-technical users

What we offer

Join a remote-first, globally distributed team of 100+ professionals from 30+ nationalities
We bring everyone together for company events throughout the year to strengthen our global connections
You'll grow alongside seasoned professionals with deep expertise across AI, market research, and enterprise systems
We offer exceptional career development opportunities in our fast-evolving market, competitive compensation, and a collaborative culture where everyone actively supports each other's success

Fulltime

Senior AI Engineer

We are looking for an experienced and exceptional AI / ML Engineer (Voice Agents...

Location

India , Hyderabad

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, or a related field, or equivalent practical experience
5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java)
Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models)
Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models)
Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering
Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice
Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale
Expertise in working with use case based SLMs for realtime agent coaching and recommendations
Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions
Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling

Job Responsibility

Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures
Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary
Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale
Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems
Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents
Lead technical initiatives for AI system integration into existing products and services
Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models

What we offer

vibrant and dynamic work environment
multitude of benefits they can enjoy inside and outside of their work lives

Backend Engineer, AI Content Agents

Hightouch

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 09, 2025

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