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AI engineer

AI engineer

Akaasa TechnologiesNew York, NY, United States
5 days ago
Job type
  • Full-time
  • Quick Apply
Job description

POSITION

AI engineer ML / NLP pipelines using Databricks, Docker / Kubernetes

LOCATION

NYC or Jersey City

Location : 10 Exchange Place, Jersey City, NJ 07310. Preferably Jersey City, NJ but open to other locations - Whitehouse Station, NJ or Madison Ave, NYC

4 days onsite

REQUIRED SKILLS

Job Title- AI Engineer

Manager Qualification Notes AI Engineer | Chubb Insurance (7-8 solutions for the years

Business Focus :

Client is heavily investing in AI solutions to transform how underwriting and claims operations are handled. The manager's team is focused on integrating LLMs (Large Language Models) , document intelligence , and computer vision into their workflows to automate manual processes and improve decision-making efficiency.

Key Insights from Manager Discussion

AI Use Cases & Vision :

  • The team wants AI models that analyze and extract information from unstructured data , such as claims documents, policies, and underwriting notes.
  • Example use case : "Document sifting" AI automatically scans and identifies relevant details buried deep in claim files.
  • Image-based AI is another major initiative. For example, customers could upload a photo of a roof , and the AI would analyze the condition and make a renewal recommendation based on that data.
  • Solutions will directly support underwriting, claims, and data science teams , improving operational decision-making and risk evaluation.
  • A 7 8 solution roadmap has been laid out; 4 projects are already in flagship stage and being actively developed.

Technical Requirements from Manager

Core Skills :

  • Hands-on experience with Python for production-level ML code.
  • Strong knowledge of LLMs (OpenAI or similar) and prompt engineering .
  • Experience building and deploying ML / NLP pipelines using Databricks , Docker / Kubernetes , and CI / CD workflows .
  • Familiarity with data platforms like Snowflake and modern orchestration tools (e.g., Airflow, Luigi, DBT).
  • Experience integrating with APIs and data pipelines for real-time data ingestion and processing.
  • Strong understanding of zero-shot / few-shot learning , embedding techniques , and fine-tuning LLMs for business applications.

    • Nice to Have :

  • Exposure to GANs, VAEs , or other generative models.
  • Knowledge of NoSQL databases (MongoDB, ElasticSearch, CosmosDB).
  • Additional languages : R, Go, Scala, C++, or Java.

    • Recruiter Takeaways

  • They want hands-on engineers , not research-only profiles. Candidates should have shipped production ML / LLM solutions .
  • Document analysis and image understanding are high-priority business use cases. Experience in computer vision or unstructured data processing will stand out.
  • Familiarity with insurance or financial services data is a bonus but not required - they value problem-solving and solution delivery above domain experience.
  • Strong communication and ability to collaborate with data scientists, business users, and IT is crucial.
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    Ai Engineer • New York, NY, United States