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Senior AI & Automation EngineerUS-Based Pharmaceutical Client (Offshore Delivery Model)About the Role We're looking for a hands-on AI & Automation Engineer to build LLM-powered automation for a major US-based pharmaceutical client. This is a builder role: you'll spend most of your time designing and shipping production workflows in n8n and Python, integrating LLMs with enterprise systems, and turning ambiguous business problems into working solutions. You'll collaborate with a senior lead and client stakeholders, but the core of the job is engineering, not managing. What You'll Do Build end-to-end LLM-powered automation using n8n, Python, and agentic workflow patternsDevelop intelligent document processing, compliance automation, and regulatory workflow featuresWrite Python utilities, APIs, and integrations (FastAPI/Flask) that extend automation capabilitiesIntegrate LLMs with APIs, databases, and enterprise systems; implement RAG, function calling, and prompt engineeringAdd monitoring, logging, and observability to production AI/automation systemsBuild POCs and move promising experiments into productionEnsure your work meets pharmaceutical compliance, data security, and validation requirementsParticipate in code reviews, sprint planning, and agile delivery as a contributing team memberRequired Technical Skills Must-Have Python: 4+ years production experience FastAPI/Flask, pandas, async, API developmentn8n: 1.5+ years hands-on building complex workflows, custom nodes, integrationsLLM orchestration: Claude API, OpenAI, or similar prompt engineering, RAG, function calling/tool useAgentic workflows: Familiarity with multi-agent patterns and LLM-based automationAPIs & integration: RESTful design, OAuth/JWT, webhooks, third-party integrationsDatabases: SQL (PostgreSQL preferred), JSONB, data pipelines, ETL basicsCloud: AWS (Lambda, S3, RDS, API Gateway) or equivalent; serverless basicsVersion control & DevOps: Git workflows, CI/CD exposure, Docker basicsNice to Have Regulated-industry experience (pharma, healthcare, financial services)HIPAA, 21 CFR Part 11, GxP, or FDA validation familiarityCRM integrations (HubSpot, Salesforce)Vector databases (Pinecone, Weaviate) and semantic searchTerraform / AWS CDKClaude Code, MCP servers, or advanced LLM toolingSoft Skills Clear written and verbal English; able to explain technical work to non-technical colleaguesComfortable with partial overlap with US Eastern time zonesStrong problem decomposition; can take an ambiguous ticket and run with itDocumentation discipline for the systems you buildTesting mindset unit/integration tests and validation for AI systemsExperience & Education Bachelor's or Master's in CS, Engineering, or related field47 years of software development experience1.5+ years working with LLMs, AI/ML platforms, or intelligent automationPrior offshore/distributed-team experience supporting US/EU clients is a plusWork Environment Location: Offshore (India)Hours: 45 hours overlap with US EasternTeam: Contributing member of a small engineering pod; reports to a Tech LeadClient exposure: Moderate demos and working sessions, but not the primary stakeholder owner .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.