Source Job

US

  • Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
  • Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
  • Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.

Python LLM APIs SQL Agentic Systems

20 jobs similar to Sr. Software Engineer - Customer Facing Applied AI

Jobs ranked by similarity.

US

  • Set the technical direction for AI engineering across the team: agent architecture patterns, evaluation methodology, deployment and monitoring strategies
  • Design the AI platform layer, including shared agent frameworks, tool integrations, and evaluation infrastructure
  • Work directly with clients on the most complex engagements, identifying new problem domains and ensuring production quality

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries managing nearly $10 trillion in assets, Addepar fosters a culture of ownership, collaboration, and innovation.

  • Building multi-agent systems and implementing agent-based workflows and AI automation solutions.
  • Developing and optimizing prompt engineering strategies, including evaluation and iteration.
  • Integrating LLMs and AI models into cloud-based applications and APIs while researching new AI tools.

Software Mind develops impactful software solutions for global companies, partnering with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and embraces a culture of openness, respect, grit, and cooperation.

Global

  • Develop and deploy cutting-edge AI/ML solutions to enhance the platform and improve student learning experiences.
  • Design, develop, and optimize LLM-powered agentic systems and APIs for real product use cases.
  • Collaborate with senior engineers and contribute to evaluation frameworks and MLOps pipelines.

Interview Kickstart specializes in interview preparation and career transitions into high-demand tech fields like AI, ML, and Data Science. Over 17,000 tech professionals have been guided by current and former hiring managers to land coveted positions at companies like Google and Amazon.

US

  • Design and deploy AI agents that automate sales, operations, and support workflows.
  • Own technical delivery end-to-end, from architecture to production and post-launch improvements.
  • Work directly with clients to understand workflows and explain technical tradeoffs.

Stello is an AI transformation firm that partners with mid-market and enterprise companies to automate repetitive work with AI agents. They work across sales, operations, and customer support, deploying solutions inside existing client tools.

  • Own AI agents and autonomous workflows powered by LLMs from problem framing through production.
  • Build RAG pipelines, set evaluation and guardrail standards, and optimize for cost and scalability.
  • Work directly with client teams to scope problems and deploy AI systems in their environments.

Acceler is a Forward-Deployed Engineer company that takes AI from pilot to production inside client systems. With a practitioner network of nearly 1,000 engineers across the US and India, it's a high-caliber team built on ownership, trust, and rapid learning.

North America 3w PTO

  • Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools.
  • Build AI agent integrations with external systems such as APIs, databases, and CRMs to ensure seamless workflow integration.
  • Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI agent solutions.

Cresta builds a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency for customer experience channels. Born from Stanford AI Lab, the company has raised over $270 million from top investors and is led by AI industry veterans.

North America Unlimited PTO

  • Design and build production-grade AI agents with LangGraph to automate multi-step workflows across internal teams.
  • Deploy and scale agents on Amazon Bedrock AgentCore, ensuring security, reliability, and cost efficiency.
  • Partner with internal teams to identify high-impact workflows and drive adoption through documentation and training.

Wrapbook is an AI platform for production finance, helping finance teams manage payroll, spend, and accounting for film, TV, and commercial productions. Trusted by teams at Netflix and Paramount, the 350+ person company is backed by major investors and focused on using AI to transform how finance teams work.

Brazil

  • Design, develop, and maintain AI agents and LLM-powered applications using Python and AWS services.
  • Implement prompt engineering, agent orchestration, and evaluation frameworks to ensure reliable, scalable AI outputs.
  • Collaborate with engineering and product teams to deliver production-ready AI solutions with robust guardrails and observability.

CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they foster a collaborative culture where AI is embedded in how they work and innovate every day.

US

  • Build and ship LLM-powered applications and AI agent workflows.
  • Design systems for reasoning, planning, memory, tool use, and multi-step execution.
  • Optimize AI systems for quality, latency, and cost, and establish production practices for observability and evaluation.

Gina's Tech Jobs is a technology recruiting firm that connects companies with engineering and IT professionals. They focus on remote and onsite placements, offering personalized recruitment services and career support.

$84,240–$146,050/yr
Europe 4w PTO

  • Build AI agents that take action: tools, prompts, guardrails, and multi-turn workflows with memory.
  • Ship the full experience: in-product chat, streaming responses, permission-aware APIs, and MCP server.
  • Make quality measurable: build evals, catch regressions, and use production feedback to improve quality, latency, and cost.

Muck Rack builds an AI-powered PR platform that helps organizations understand their brand across news, social media, and AI answers. It is a founder-controlled, fully distributed firm trusted by 3,000+ organizations, with an inclusive, customer-first culture.

US Unlimited PTO

  • Build and maintain AI agents using large language models to complete multi-step tasks within Cayuse products.
  • Develop and extend MCP servers and integrate AI features into existing applications through platform APIs.
  • Write unit and integration tests, participate in code reviews, and ship code through CI/CD pipelines.

Cayuse provides integrated technology solutions that empower organizations to conduct globally connected research, advancing impact in science and discovery. The company is a team of highly skilled, multidisciplinary professionals building a remote-first culture with a focus on customer and employee values.

US

  • Design and implement RAG pipelines and tool-calling architectures for conversational AI agents in healthcare.
  • Build production Python code using LangChain and modern LLM frameworks to solve novel healthcare AI problems.
  • Own end-to-end deployments, monitoring, and customer partnerships in production healthcare environments.

Hippocratic AI is building the first healthcare-only, safety-focused large language model to transform patient outcomes. The company is backed by leading healthcare and AI investors, with a team of physicians, hospital leaders, and AI pioneers from top institutions.

  • Architect AI infrastructure including backend services, data pipelines, and orchestration workflows for LLMs.
  • Write production-grade, high-performance code for high-throughput AI workflows and data-driven systems.
  • Integrate foundational models, vector data stores, and cloud microservices into scalable platform components.

Korza builds AI infrastructure and products, specializing in LLM and agent-based systems. The company emphasizes cross-functional collaboration and rapid shipping of cutting-edge AI capabilities.

India

  • Build production AI and agentic workflows end to end, from PRD and architecture through implementation, evaluation, and iteration.
  • Own the retrieval stack, model selection, and evaluation harness to ensure measurable quality, latency, and cost.
  • Design and maintain a reusable component library and set engineering standards for the CoE and partner teams.

QAD | Redzone builds an intelligent manufacturing and supply chain platform that connects people, processes, and data into a single System of Action. It fosters a collaborative culture of smart, hard-working people who support one another and prioritize diversity, equity, and inclusion.

$196,984–$222,000/yr
US

  • Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
  • Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
  • Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.

Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.

$76,200–$76,200/yr
Global 5w PTO

  • Build and deploy AI workflows and skills using AIVA
  • Integrate AI solutions with APIs, databases and enterprise systems
  • Rapidly build, test, demonstrate and refine solutions with clients

Williams Lea is the leading global provider of tech-enabled business and marketing services helping clients manage and transform processes. The company serves clients in 20 countries across four continents and has 15,000 employees worldwide.

$160,000–$165,000/yr
US

  • Design and build enterprise-grade agentic AI platforms and LLM-powered applications.
  • Define reference architectures for RAG pipelines, multi-agent orchestration, and enterprise integrations.
  • Implement observability, guardrails, and responsible AI practices for production deployment.

Brillio is one of the fastest growing digital technology service providers, partnering with Fortune 1000 companies on digital adoption. It employs world-class professionals known as 'Brillians' and has earned Great Place to Work® certification repeatedly.

  • Build solution-ready LLM-enabled applications spanning backend logic, data orchestration, and front-end UI.
  • Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments.
  • Codify reusable assets like libraries, prompts, and scaffolds to accelerate future engagements.

ServiceNow is the AI control tower for business reinvention, bringing together any AI, any data, and any workflow to help 85% of the Fortune 500 work smarter, faster, and better. The company fosters an AI-native culture where technology and talent are unstoppable together.

  • Build and validate customer solutions by designing prompts, conversation flows, and tool integrations.
  • Develop new agent capabilities and prototype solutions with platform engineers.
  • Drive customer outcomes through systematic testing and turning learnings into product improvements.

Attuned Intelligence builds AI-powered voice agents that automate patient access for community health centers and health systems. They are a fast-moving, mission-driven team focused on making care more accessible and equitable.

US

  • Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
  • Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
  • Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.

ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.