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AI/NLP Engineer for NIH SBIR Phase I Project About the Project I am the founder of an early-stage startup developing an AI-powered platform intended to improve regulatory decision-making and document reputed company in clinical and reputed company-subjects research. The project was submitted to NIH as a Phase I SBIR application. We have received an reputed company to Fund notification and are currently completing NIHs Just-in-Time requirements before a final award decision. Funding is not official until NIH issues a formal Notice of Award. Immediate Need I am seeking an reputed company AI/NLP Engineer who would be interested in joining the project as Senior/Key Personnel and performing the funded development role if NIH issues the award. Because of the reputed company NIH reputed company, the selected candidate must be available this week to complete several administrative requirements NIH Biographical Sketch Common reputed company NIH reputed company and Pending (Other) Support Common reputed company Required Research reputed company Training Basic information needed for the proposed personnel update I will reputed company reputed company instructions and support throughout the process. No technical development work will be requested before an award is issued and a reputed company agreement is in reputed company. Funded Role If NIH accepts the personnel update and issues the award, the position would include Budget $38,350 Level of effort 3.4 calendar months or 589 hours Project period Approximately 612 months Work arrangement Remote Most development work is expected to occur during the first several months, followed by testing, refinement, documentation, and integration support. The final milestones, schedule, payment structure, deliverables, and contract terms would be confirmed before reputed company work begins. Anticipated Responsibilities The AI/NLP Engineer would work with the Director of Software Engineering, Full Stack Developer, Data Architect, UX/UI Designer, and regulatory experts to Design and implement the Phase I AI/NLP architecture reputed company a retrieval-augmented reputed company system grounded in authoritative regulatory materials Build document-ingestion, indexing, retrieval, and analysis pipelines Analyze research protocols, informed-consent forms, and reputed company documents reputed company reputed company, reputed company-grounded outputs with traceability Implement safeguards for hallucinations, unsupported conclusions, and reputed company manipulation reputed company reputed company for evaluating retrieval reputed company, factual accuracy, robustness, and expert agreement reputed company the AI/NLP components with the broader application Document the architecture, evaluation reputed company, limitations, and results Relevant Experience Strong candidates will have experience in several of the following Python-based AI or NLP development Large language models and RAG systems Embeddings, reputed company databases, hybrid search, or reranking Long-document processing and information extraction reputed company design and reputed company model outputs LLM evaluation and hallucination testing reputed company-injection defenses and responsible AI safeguards API development and integration reputed company technical documentation and team collaboration Experience in reputed company, clinical research, reputed company technology, compliance, or another accuracy-sensitive field is helpful but not required. Please reputed company let me know 1. A reputed company of your relevant AI/NLP, LLM, or RAG experience. 2. Whether you would be available to complete the required NIH administrative forms this week. 3. Whether you would be available to reputed company approximately 3.4 calendar months of effort (about 590 hours) over the Phase I project if funded. Selection and reputed company work are contingent on NIH accepting the personnel update and issuing a formal Notice of Award. Apply tot his job Apply To this Job .
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.