AI Developer

🕒 September 10

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TechTorch

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

TechTorch is an AI-native B2B company that provides revenue operations and digital transformation solutions for enterprises and private-equity–backed portfolio companies. Their Beacon platform and AI agents automate quote-to-cash, CRM modernization (Salesforce, HubSpot, Dynamics), CPQ, data integration, analytics, billing/subscriptions, and other revenue workflows to accelerate growth, reduce errors, and deliver rapid, measurable value.

📋 Description

• 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 models including Gemini, GPT, and Claude • Connect agents to APIs, SaaS applications, webhooks, queues, and events • Implement memory, retrieval, and planning for reliable agent behavior • Take prototypes to production using CI/CD, containers, and cloud deployment • Build internal SDKs and reusable agent templates • Implement logging, tracing, guardrails, and evaluation • Work directly with clients to capture requirements, run experiments, and iterate • Apply security, privacy, and safety best practices in deployments

🎯 Requirements

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

🏖️ Benefits

• Remote-first and flexible — we care about results, not hours • Career growth • Certifications • Access to leading AI tech • Exposure to Fortune 500 and private equity clients • Fast recruitment process