Artificial Intelligence Engineer

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Company Overview:

Serigor Inc

Our professional services primarily focus on ITS services portfolio including but not limited to Managed IT Services, Enterprise Application Development, Testing and Management Consulting, Salesforce, Cloud and Infrastructure Consulting, DevOps Consulting, Migration Consulting, Service Management, Custom Implementation and IT Operations & Maintenance, Remote Application & Infrastructure Monitoring and Management practices.

Position Overview:

AI Engineer / Developer

You will play a critical role in leveraging generative AI to extract structured insights from unstructured content, refine prompt engineering strategies, and build functional prototypes that bridge AI outputs with real-world applications. If you're passionate about NLP, LLMs, and building AI-first solutions, we want to hear from you.

Key Responsibilities:

• Document Intelligence

  : Leverage large language models (e.g., OpenAI GPT, Anthropic Claude) to analyze and extract meaningful information from various types of documents, including PDFs, contracts, compliance records, and reports.

• Data Structuring

  : Convert natural language outputs into structured data formats such as JSON, tables, custom templates, or semantic tags for downstream integration.

• Prompt Engineering

  : Design, write, and iterate on prompts to ensure high-quality, repeatable, and reliable responses from AI models.

• Tooling & Prototyping

  : Develop lightweight tools, scripts, and workflows (using Python or similar) to automate, visualize, and test AI interactions.

• Model Evaluation

  : Run controlled experiments to evaluate the performance of AI-generated outputs, identifying gaps, edge cases, and potential improvements.

• Pipeline Integration

  : Collaborate with software engineers and product teams to integrate LLM pipelines into broader applications and systems.

• Traceability & Transparency

  : Ensure each piece of extracted information can be traced back to its original source within the document for auditing and validation purposes.

Required Skills & Qualifications:

• Experience

  : Minimum of 3 years in AI/ML development, with a strong focus on

  natural language processing (NLP)

  ,

  document analysis

  , or

  conversational AI

  .

• LLM Expertise

  : Hands-on experience working with large language models (e.g., GPT-4, Claude, Mistral) and prompt-based interactions.

• Programming Skills

  : Proficient in

  Python

  and experienced with modern AI frameworks such as

  LangChain

  ,

  Hugging Face Transformers

  , or

  spaCy

  .

• Document Processing

  : Knowledge of

  embeddings

  ,

  chunking strategies

  , and

  vectorization techniques

  for efficient document indexing and retrieval.

• Vector Databases

  : Familiarity with

  FAISS

  ,

  Chroma

  ,

  Pinecone

  , or similar vector DBs for storing and querying embedding data.

• Analytical Mindset

  : Strong ability to design, run, and interpret structured tests to measure and enhance the accuracy of AI outputs.

Preferred Qualifications:

• RAG Workflows

  : Experience implementing

  Retrieval-Augmented Generation

  (RAG) systems for dynamic document querying and synthesis.

• Domain Exposure

  : Familiarity with

  legal

  ,

  regulatory

  , or

  compliance-based documents

  and the unique challenges they pose.

• LLMOps & Deployment

  : Exposure to deploying AI models or pipelines, including experience with

  web APIs

  ,

  LLMOps tooling

  , or

  cloud-native AI environments

  .