TechTorch

www.techtorch.io

2 Jobs

81 Employees

About the Company

At TechTorch, we lead the way in AI-powered Enterprise Technology (ET) solutions and services for Private Equity-backed businesses. Our mission is to operationalize winning strategies in commercial excellence, enterprise data, and AI use cases to drive successful outcomes at unparalleled speed. Every year, over $1 trillion is spent by companies on defining, designing, and implementing ET solutions. Yet, 80% of these efforts fail to achieve their intended business objectives. Despite advances in the software environment, the digitization of businesses with modern Enterprise Technology remains a manual and painful experience, one that we believe is ripe for disruption. TechTorch is at the forefront of this disruption, enhancing the success, reducing the cost, and accelerating the speed of digitization journeys. We deliver ET services and solutions powered by AI accelerators, such as pre-configured digital use cases and architectures. TechTorch provides solutions in a fraction of the time and cost compared to traditional IT service providers.

Listed Jobs

Company Name: TechTorch
Job Title: Artificial Intelligence Engineer
Job Description: **Job title** Artificial Intelligence Engineer **Role Summary** Design, build, and ship AI‑powered agentic systems that automate real‑world workflows. Work with large language models, orchestration tools, and data pipelines to create production‑grade solutions for clients across industries. **Expectations** Deliver end‑to‑end AI automation products, from prototype to deployment, that are observable, secure, and measurable. Iterate quickly with client teams, translating business needs into functional agent capabilities and success metrics. **Key Responsibilities** - Architect and implement agent frameworks and multi‑step orchestrations in Python. - Build and maintain pipelines using LangGraph, LangChain, n8n, AWS Bedrock, or equivalent. - Integrate frontier LLMs (Gemini, GPT, Claude) and develop API connectors to SaaS/enterprise systems. - Design memory, retrieval, planning, and guardrails for reliable agent behavior. - Create reference agent SDKs and templates for internal reuse. - Productionize prototypes via CI/CD, containerization, and cloud deployment. - Instrument agents for logging, tracing, evaluation, and offline analysis. - Collaborate with client stakeholders through design workshops and requirement gathering. - Apply best practices in security, privacy, and model safety. **Required Skills** - Strong Python programming (async, testing, packaging). - Experience with LLM‑based agent development (LangGraph/LangChain). - Familiarity with orchestration tools (n8n, Airflow, Prefect, Temporal). - Working knowledge of Gemini, OpenAI, and Anthropic models (prompting, function calling). - Solid data foundation skills: vector stores, embeddings, RAG, chunking, indexing, quality. - Software engineering fundamentals: Git, CI/CD, containerization, AWS cloud services. - Knowledge of Agent Development Kit or similar frameworks. - Bonus: TypeScript, back‑end frameworks (FastAPI, Flask, Node.js, Go), relational/NoSQL databases, observability stacks (OpenTelemetry, Langfuse), cost/rate‑limit controls, production safety evaluation. **Required Education & Certifications** Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience). No mandatory certifications required.

United kingdom

Remote

26-11-2025

Company Name: TechTorch
Job Title: Senior Integration Specialist
Job Description: Job title: Senior Integration Specialist Role Summary: Technical individual contributor responsible for designing, developing, and maintaining integrations across enterprise CRM, ERP, e‑commerce, and cloud data platforms using modern integration frameworks, APIs, and event‑driven architectures. Expactations: Deliver robust, secure, and high‑performance data flows independently; translate business requirements into scalable technical solutions; maintain and evolve integration systems while ensuring compliance and governance. Key Responsibilities: - Architect end‑to‑end integration solutions for on‑premise and cloud environments, selecting optimal patterns (API‑led, event‑driven, ETL/ELT, RPA‑assisted). - Build and deploy integrations on platforms such as Workato, Mulesoft, Boomi, Informatica IICS, SnapLogic, webMethods, Kafka Connect, and related tools. - Design, implement, and secure REST/SOAP APIs; manage API gateways (Apigee, Kong, AWS API Gateway). - Develop event‑driven architectures using Kafka, EventBridge, SNS/SQS. - Create and maintain ETL/ELT pipelines and automate workflows across Salesforce, SAP, NetSuite, Workday, and other SaaS applications. - Write custom code in Python, Java, JavaScript, Groovy, or Shell to extend integration capabilities. - Implement observability, logging, error handling, retry logic, and perform root‑cause analysis. - Apply security best practices (OAuth2, JWT, SSO, encryption) and ensure compliance with PII/PHI handling. - Collaborate with stakeholders to translate business needs into technical specifications. - Maintain and improve CI/CD pipelines for integration deployments. Required Skills: - 7–12 years of hands‑on experience designing enterprise integrations across CRM, ERP, and data systems. - Deep proficiency with 2–3 integration platforms (e.g., Workato, Mulesoft, Boomi, Informatica IICS, SnapLogic, webMethods). - Advanced knowledge of integration patterns: orchestration, event‑driven design, microservices, message‑based workflows. - Strong expertise in REST, SOAP, GraphQL, Webhooks, JSON, XML, XSLT. - Familiarity with SQL/NoSQL databases, basic data modeling, and CI/CD pipelines. - Experience with cloud integration services (AWS Lambda, Step Functions, Azure Logic Apps, Data Factory). - Proficient in debugging, problem‑solving, and independent end‑to‑end delivery. - Excellent communication skills for translating business needs into technical solutions. - Optional: B2B/EDI (X12, EDIFACT), Salesforce/SAP/NetSuite integration layers, Kafka/RabbitMQ, RPA tools (UiPath, Automation Anywhere). Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. - Professional certifications in integration platforms or cloud services (e.g., MuleSoft Certified Developer, Boomi Certified Specialist, Informatica IICS Certified Data Integration Specialist, AWS Certified Integration Pattern Designer) preferred.