Hiring: Automation & Process Improvement Engineer Company: IntegriChain Location: Greater Philadelphia Job Posted Time: 2026-09-12 13:39:40 Target Skills & Keywords : AWS, Data Pipeline, Embedded Systems, FastAPI, IAM, LLM, Python, REST, React, SQL, Serverless, Snowflake, Systems Integration About the job Experience: •Hands-on work with LLM APIs, tool or function calling, or agent-style workflows. •Background in life sciences, healthcare, or pharma commercialization data such as MDM, patient, or channel data •What does IntegriChain have to offer? •Mission driven: Work with the purpose of helping to improve patients' lives! Required Skills: •We are headquartered in Philadelphia, PA (USA), with offices in: Ambler, PA (USA); Pune, India; and Medellín, Colombia. For more information, visit www.integrichain.com, or follow us on Twitter @IntegriChain and LinkedIn. •This role offers flexibility, but candidates must reside in Pennsylvania, New Jersey, or New York and be within a reasonable travel distance of our Philadelphia office, as regular in-person collaboration is required. •Embedded work: You'll be part of an operations team, starting with Managed Services. You'll learn their workflows and go after the highest-volume, most painful tasks first. •Automation and integration: You'll write the scripts, jobs, and integrations that connect systems, move data around, and cut out manual steps. •Process improvement: Before automating anything, you'll look for ways to simplify it. Sometimes the best fix is removing a step, not speeding it up. •Building with AI: You'll build AI into the work itself, like an LLM that reads unstructured text or an agent that handles a multi-step task, and you'll use AI tools to build it all faster. •Results: You'll measure where things stand today and track what changes, like time saved and errors avoided. •Spend time with an operations team to understand how the work really happens and where automation would make the biggest difference. Qualifications: •At least 4 years automating and improving processes, or building integrations and software, ideally for a large or high-volume operation. •A track record of automating real work and being able to show what it saved, whether that's time, errors, or extra capacity. •Solid Python (or something similar) for scripting and building integrations. •Real experience connecting systems through APIs and working with SQL and relational data. •A knack for process improvement. You can look at how something works, spot what's slowing it down, and redesign it instead of just automating the mess. •Real hands-on experience building with AI, not just using it. You've put LLMs or agents into something real, and you know how to use AI tools to speed up your own work. •A working understanding of common LLM patterns, like prompting, tool or function calling, and wiring an agent into a workflow. •Comfort working closely with non-engineering teams. You listen well, turn their needs into solutions, and explain technical things without the jargon. •Self-directed and steady when priorities shift, and things move fast. •Good at troubleshooting and debugging, including for things running live in production. Compensation: •Flexible work environment (work from home / hybrid options) •Excellent and affordable medical benefits + non-medical perks including Student Loan Reimbursement, Flexible Paid Time Off and Paid Parental Leave Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!