Senior AI Developer
2 weeks ago
Company Description
Hudasoft, based in Texas, is a software development company delivering high-performance and industry-specific digital solutions. Our team of experienced software engineers, developers, architects, and UI/UX experts transforms complex business challenges into scalable and intuitive products. We specialize in custom solutions for industries such as automotive, real estate, LMS & education, ERP & business intelligence, and AI & machine learning. Our services cover idea validation, product strategy, custom development, cloud deployment, and performance optimization.
Role Description
Hudasoft is looking for a passionate
AI Developer
to design and implement advanced
Retrieval-Augmented Generation (RAG)
solutions leveraging
ChatGPT, Deepseek, n8n, Make, and other GPT-based tools
. Day-to-day tasks include working on pattern recognition, natural language processing (NLP), software development, and collaborating with other team members to create innovative AI solutions. The developer will also be responsible for performance optimization and documentation.
Key Responsibilities
- Design and implement
RAG pipelines
— ingestion, embedding, vector search, retrieval, and generation layers. - Work with
ChatGPT, Deepseek, and other LLM APIs
to build smart assistants and data-driven automation. - Integrate
n8n / Make
for workflow orchestration, automation, and third-party system connections. - Implement
data ingestion and embedding pipelines
using Python, , or n8n custom functions. - Build and maintain
vector databases
(e.g., Pinecone, Qdrant, Weaviate). - Optimize prompts, improve contextual accuracy, and reduce hallucination in model outputs.
- Develop internal APIs and tools for chat-based data retrieval and analysis.
- Collaborate with architects and product teams to bring AI-driven features into production.
- Monitor and evaluate performance, cost, and accuracy metrics of AI services.
Required Skills
- Hands-on experience with
OpenAI APIs (ChatGPT, Embeddings)
or equivalent LLMs. - Solid understanding of
RAG architecture
and
semantic search
concepts. - Familiarity with
Deepseek
or similar AI search platforms. - Experience in
workflow automation tools
like
n8n
or
Make (Integromat)
. - Proficiency in
Python
or
JavaScript/TypeScript
for building data/AI pipelines. - Working knowledge of
vector databases
(Qdrant, Pinecone, Weaviate, Milvus, etc.). - Strong understanding of
prompt engineering
,
API integration
, and
data preprocessing
. - Version control (Git/GitHub) and basic CI/CD familiarity.
Nice-to-Have Skills
- Experience with
LangChain, LlamaIndex, or Semantic Kernel
. - Background in
data engineering
or
cloud platforms (Azure, AWS, GCP)
. - Understanding of
retriever–reranker pipelines
and
LLM fine-tuning
. - Familiarity with
low-code AI automation
and
multi-agent orchestration.
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