Senior Software Engineer (AI Solutions)
You’ll build the AI behind Animus, our internal agent for revenue and customer intelligence. Your work turns scattered GTM data into clear answers and usable workflows for Sales, Success, Product, and Marketing.
You design, ship, and improve AI workflows on a proven AWS and TypeScript base. You partner with GTM leaders, product, and infra to test, measure, and refine while keeping the system accurate, observable, and cost-aware.
What you’ll do here
Design and implement AI workflows on top of existing data pipelines (product feedback extraction, customer update generation, onboarding plans, win/loss summaries, CRM enrichment)
Extend and refine the current TypeScript-based agent: tooling, tool schemas, routing logic, error handling, and observability
Improve transcript and account matching across Zoom, Granola, and Salesforce using entity resolution, heuristics, and/or LLM-assisted matching
Integrate new data sources (Slack, Zendesk, Google Drive, Nexus/telemetry, email) into the existing AWS stack
Define and consume pre-aggregated account/opportunity summaries in S3 for fast, reliable query
Optimize Lambda-based data processing jobs for cost, reliability, and performance
Iterate on model strategy: cheap routing (e.g., Claude Haiku) vs. higher-quality response models (e.g., Claude Sonnet/Opus)
Evaluate prompts, tool selection quality, and response accuracy with clear metrics
Collaborate with GTM stakeholders (Sales, SE, CS, Product, Marketing) to define, test, and refine AI-assisted workflows
Partner with infra engineering (Terraform, Kubernetes) to ensure deployment, security, and observability are production-ready
Contribute to future UI/UX (Slack bot flows, simple web UI/dashboards) to expose workflows to end users
What we’re looking for
5+ years in software engineering, including 1-2+ years building LLM-based applications or agents
Strong experience in TypeScript/Node.js (ideal) or Python for backend and data processing
Hands-on experience with LLM tool calling/agents (custom frameworks, LangChain, or equivalent)
Practical RAG expertise: chunking, metadata schemas, retrieval, relevancy, and evaluation
Solid AWS experience: Lambda, S3, IAM, CloudWatch; exposure to Bedrock is a plus
Background in data integration/pipelines: consuming APIs and webhooks (Salesforce, Slack, Zendesk, Zapier, etc.)
Skill in designing JSON schemas, pre-aggregated summaries, and metadata models for query
Familiarity with Salesforce data structures (accounts, opportunities, leads, activities) or willingness to ramp quickly
Comfortable working in a partially “vibe‑coded” codebase and refactoring toward higher quality (testing, structure, observability)
Experience with prompt engineering and evaluation for business workflows (accuracy, reliability, user trust)
Ability to travel up to 20%
Bonus tacos if you have
(Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
Amazon Bedrock knowledge bases.
Terraform and/or Kubernetes.
Slack bot development and slash commands.
CRM enrichment, sales tooling, or GTM analytics.
GDPR/data privacy considerations for AI systems.
Prior work on sales/revops intelligence tools, conversation intelligence (Zoom/Granola/Gong‑style), or human‑in‑the‑loop review flows.
About Coder
Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle.
Our self-hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
Interview process
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI use during the interview process
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
Our use of AI in hiring
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first.
Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact [email protected].
Coder is a proud Equal Opportunity Employer
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Apply To This Job
You design, ship, and improve AI workflows on a proven AWS and TypeScript base. You partner with GTM leaders, product, and infra to test, measure, and refine while keeping the system accurate, observable, and cost-aware.
What you’ll do here
Design and implement AI workflows on top of existing data pipelines (product feedback extraction, customer update generation, onboarding plans, win/loss summaries, CRM enrichment)
Extend and refine the current TypeScript-based agent: tooling, tool schemas, routing logic, error handling, and observability
Improve transcript and account matching across Zoom, Granola, and Salesforce using entity resolution, heuristics, and/or LLM-assisted matching
Integrate new data sources (Slack, Zendesk, Google Drive, Nexus/telemetry, email) into the existing AWS stack
Define and consume pre-aggregated account/opportunity summaries in S3 for fast, reliable query
Optimize Lambda-based data processing jobs for cost, reliability, and performance
Iterate on model strategy: cheap routing (e.g., Claude Haiku) vs. higher-quality response models (e.g., Claude Sonnet/Opus)
Evaluate prompts, tool selection quality, and response accuracy with clear metrics
Collaborate with GTM stakeholders (Sales, SE, CS, Product, Marketing) to define, test, and refine AI-assisted workflows
Partner with infra engineering (Terraform, Kubernetes) to ensure deployment, security, and observability are production-ready
Contribute to future UI/UX (Slack bot flows, simple web UI/dashboards) to expose workflows to end users
What we’re looking for
5+ years in software engineering, including 1-2+ years building LLM-based applications or agents
Strong experience in TypeScript/Node.js (ideal) or Python for backend and data processing
Hands-on experience with LLM tool calling/agents (custom frameworks, LangChain, or equivalent)
Practical RAG expertise: chunking, metadata schemas, retrieval, relevancy, and evaluation
Solid AWS experience: Lambda, S3, IAM, CloudWatch; exposure to Bedrock is a plus
Background in data integration/pipelines: consuming APIs and webhooks (Salesforce, Slack, Zendesk, Zapier, etc.)
Skill in designing JSON schemas, pre-aggregated summaries, and metadata models for query
Familiarity with Salesforce data structures (accounts, opportunities, leads, activities) or willingness to ramp quickly
Comfortable working in a partially “vibe‑coded” codebase and refactoring toward higher quality (testing, structure, observability)
Experience with prompt engineering and evaluation for business workflows (accuracy, reliability, user trust)
Ability to travel up to 20%
Bonus tacos if you have
(Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
Amazon Bedrock knowledge bases.
Terraform and/or Kubernetes.
Slack bot development and slash commands.
CRM enrichment, sales tooling, or GTM analytics.
GDPR/data privacy considerations for AI systems.
Prior work on sales/revops intelligence tools, conversation intelligence (Zoom/Granola/Gong‑style), or human‑in‑the‑loop review flows.
About Coder
Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle.
Our self-hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
Interview process
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI use during the interview process
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
Our use of AI in hiring
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first.
Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact [email protected].
Coder is a proud Equal Opportunity Employer
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Apply To This Job