This one is closed
Live roles like this one
-
C
16h ago
Staff Machine Learning Engineer
Uber Chicago, IL; New York, NY; San Francisco, CA; Seattle, WA; Sunnyvale, CA
-
D
1d ago
Blue Pearl United States
-
B
1d ago
Senior Principal Machine Learning Engineer
Cotiviti United States $250k - $280k/yr
-
D
1d ago
Jumio Anywhere in the World
See every "AI Engineer" role →
Get new “AI Engineer” roles by email
One email a day with what is new in "AI Engineer". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Why this grade This listing scored 54/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$163k – $276k
That is the middle half of what comparable roles paid on this board over the last 90 days — 31 listings that did publish a figure, median $179k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Data Science Senior Full Time
Sr AI Engineer – Generative AI & Agentic Systems
We’re looking for an exceptional SrAI Engineer to join our growing Data & AI practice and help build the next generation of AI-powered solutions.
This role is ideal for someone who loves working at the edge of what’s possible with LLMs, RAG, agents, semantic search, multimodal AI, and intelligent automation — and who wants to turn cutting-edge ideas into real, production-ready systems for clients across industries.
This position is open to candidates based in LATAM or the United States.
What You’ll Do
- Design, build, and deploy advanced AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures.
- Develop intelligent systems that can process documents, retrieve knowledge, generate content, automate workflows, and transform unstructured data into actionable insights.
- Work with modern GenAI and AI engineering tools such as LangChain, LangGraph, Hugging Face, PyTorch, MCP, multi-agent frameworks, and cloud-native AI services.
- Build scalable, reliable AI applications across Azure, AWS, Databricks, or similar cloud/data platforms.
- Experiment with and evaluate foundation models, prompts, retrieval strategies, orchestration patterns, and performance optimization techniques.
- Collaborate closely with engineering, product, data, and business teams to define the right technical approach and deliver high-impact AI solutions.
- Stay plugged into the fast-moving GenAI ecosystem and bring new ideas, tools, and prototypes into real-world applications.
What You Bring
- Strong experience in AI, machine learning, data science, or AI engineering, with hands-on exposure to production-scale solutions.
- Deep interest and practical experience with Generative AI, including LLMs, RAG, vector search, embeddings, agents, and AI workflow orchestration.
- Strong Python skills and experience with modern ML/AI frameworks and libraries.
- Experience building on cloud or data platforms such as Azure, AWS, GCP, Databricks, or similar.
- A solid foundation in data science, experimentation, statistical thinking, or applied machine learning.
- Ability to work with structured and unstructured data, including text, documents, images, emails, spreadsheets, or other complex data formats.
- A builder mindset: curious, hands-on, adaptable, and excited to work with emerging technologies.
- Strong communication skills and the ability to partner with technical and non-technical stakeholders.
Nice to Have
- Advanced degree in Computer Science, Data Science, AI, Machine Learning, or a related technical field.
- Experience with MCP, multi-agent systems, fine-tuning, LLM evaluation frameworks, multimodal AI, or production ML observability.
- Prior consulting, client-facing, or cross-functional delivery experience.
About Nimble Gravity
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.
Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 01 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.