AI Developer

Remote Hiring Remotely in United States Mid level Remote Hiring Remotely in United States Mid level The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments. The summary above was generated by AI, * Design and implement multi-step AI agents and orchestration workflows in Python

• Build using LangGraph, LangChain, n8n, AWS Bedrock, and similar tools
• Integrate and evaluate top models (Gemini, GPT, Claude, etc.)
• Connect agents to real systems (APIs, SaaS apps, webhooks, queues, events)
• Implement memory, retrieval, and planning for reliable agent behavior
• Take prototypes to production - with CI/CD, containers, and cloud deployment
• Build internal SDKs and reusable agent templates to speed up delivery
• Instrument everything - logging, tracing, guardrails, evaluation
• Work directly with clients to capture requirements, run experiments, and iterate fast
• Apply best practices for security, privacy, and safety in all deployments, Build and maintain production-grade agentic AI systems for an internal AI platform. Design AWS infrastructure, knowledge graph solutions using Neptune or Neo4j, and LLM-based reasoning and retrieval workflows. Troubleshoot integrated systems, collaborate across teams, influence technical direction, and support engineering best practices. The contract is expected to last 4-6 months, with possible extension, and requires strong Python, AWS platform engineering, and agentic AI expertise. Top Skills: Agent CoreAmazon BedrockAWSAws CdkAws NeptuneDockerKubernetesLlmsMcpNeo4JNode.jsPrompt EngineeringPythonTypescript BJAK

Product Engineer

6 Hours Ago Remote Entry level Entry level Artificial Intelligence * Fintech * Software * Financial Services Own product areas for AI Stockbroking and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use metrics, research, feedback, and production issues to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity. Top Skills: AI BJAK

Product Engineer

8 Hours Ago Remote Entry level Entry level Artificial Intelligence * Fintech * Software * Financial Services Own product areas across KIRA’s AI neobank, including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial journeys; and use data, feedback, experiments, and production insights to improve products after release.

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• 2+ years of hands-on experience building and shipping AI agents or complex automations
• Strong Python skills (async, testing, packaging)
• Experience with LangGraph or LangChain, plus orchestration tools (n8n, Bedrock, Airflow, Prefect, Temporal, etc.)
• Familiarity with OpenAI, Gemini, Claude, or similar model ecosystems
• Solid data foundations: embeddings, RAG, chunking, indexing
• Software engineering fundamentals: Git, CI/CD, Docker, AWS
• Bonus: TypeScript, FastAPI, Node.js, Supabase, or observability tools (Langfuse, W&B, OpenTelemetry)

How you work

• You own your outcomes - from idea to deployment
• You’re proactive, adaptable, and thrive in fast-changing environments
• You like moving fast, but never at the cost of quality
• You communicate clearly and love solving problems collaboratively

At TechTorch, we’re building the future of intelligent work. Our mission is to help companies design, build, and deploy AI agents that automate complex, real-world workflows - delivering reliability, measurable ROI, and massive efficiency gains.

Here, you won’t just be playing with prompts or running endless proofs of concept. You’ll ship production-grade AI systems that solve real problems across industries.

You’ll join a hands-on, fast-moving, ownership-driven team that thrives on building quickly, iterating fast, and seeing results in days - not months.