Were looking for an AI engineer to help build the core features and pipelines that power our AI platform. Youll work on retrieval embeddings model integrations and production-grade AI servicesturning prototypes into reliable scalable systems used across multiple products.
What Youll Do
- Build AI-enabled product features: chat recommendations anomaly detection summarization workflow automation.
- Contribute to RAG pipelines: ingestion chunking embeddings vector search retrieval logic.
- Integrate model APIs (OpenAI Azure OpenAI AWS Bedrock/SageMaker) into production systems.
- Implement reusable components for prompts retrieval and inference routing.
- Write clean testable secure code and participate in code reviews.
- Work with QA DevOps and Security to ensure reliable deployment and model behavior.
- Translate prototypes into maintainable production services and collaborate with product/UX to embed AI into user workflows.
- Participate in Agile ceremonies and contribute to a culture of high-quality engineering.
Qualifications :
Required:
- 2 years of software engineering experience.
- Hands-on experience integrating AI APIs (OpenAI Azure Cognitive Services AWS Bedrock/SageMaker).
- Strong Python or JavaScript/TypeScript skills (C# a plus).
- Experience with AI/ML frameworks: PyTorch TensorFlow scikit-learn Hugging Face LangChain.
- Familiarity with embeddings vector databases and basic RAG concepts.
- Understanding of microservices REST/GraphQL APIs and version control (Git).
- Exposure to cloud environments and CI/CD pipelines.
- Ability to write clear modular maintainable code.
- Bachelors degree in Computer Science Data Science Software Engineering or related experience
Preferred:
- Masters degree and/or 3 years of experience including at least 1 year focused on AI or ML applications
- Experience with vector databases (Pinecone Chroma Elasticsearch pgvector).
- Experience with prompt engineering evaluation and orchestration frameworks (LangChain LangGraph LlamaIndex).
- Background in unstructured data processing and embedding pipelines.
Additional Information :
The pay range for this role is $95700- $160000 salary per year. Where you fall within the pay range is based on how you demonstrate the attributes and competencies required for the role. We mostly reserve the upper half of our compensation bands for internal addition to base salary we offer a comprehensive benefits package performance-based incentives and opportunities for growth.
#LI-Remote
Daxko is dedicated to pursuing and hiring a diverse workforce. We are committed to diversity in the broadest sense including thought and perspective age ability nationality ethnicity orientation and gender. The skills perspectives ideas and experiences of all of our team members contribute to the vitality and success of our purpose and values.
We truly care for our team members and this is reflected through our offices and benefits and great perks. These perks are only for our full-time team members. Some of our favorites include:
Flexible paid time off
Affordable health dental and vision insurance options
Monthly fitness reimbursement
401(k) matching
New-Parent Paid Leave
Casual work environments
Remote work
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Full-time
Were looking for an AI engineer to help build the core features and pipelines that power our AI platform. Youll work on retrieval embeddings model integrations and production-grade AI servicesturning prototypes into reliable scalable systems used across multiple products.What Youll DoBuild AI-enable...
Were looking for an AI engineer to help build the core features and pipelines that power our AI platform. Youll work on retrieval embeddings model integrations and production-grade AI servicesturning prototypes into reliable scalable systems used across multiple products.
What Youll Do
- Build AI-enabled product features: chat recommendations anomaly detection summarization workflow automation.
- Contribute to RAG pipelines: ingestion chunking embeddings vector search retrieval logic.
- Integrate model APIs (OpenAI Azure OpenAI AWS Bedrock/SageMaker) into production systems.
- Implement reusable components for prompts retrieval and inference routing.
- Write clean testable secure code and participate in code reviews.
- Work with QA DevOps and Security to ensure reliable deployment and model behavior.
- Translate prototypes into maintainable production services and collaborate with product/UX to embed AI into user workflows.
- Participate in Agile ceremonies and contribute to a culture of high-quality engineering.
Qualifications :
Required:
- 2 years of software engineering experience.
- Hands-on experience integrating AI APIs (OpenAI Azure Cognitive Services AWS Bedrock/SageMaker).
- Strong Python or JavaScript/TypeScript skills (C# a plus).
- Experience with AI/ML frameworks: PyTorch TensorFlow scikit-learn Hugging Face LangChain.
- Familiarity with embeddings vector databases and basic RAG concepts.
- Understanding of microservices REST/GraphQL APIs and version control (Git).
- Exposure to cloud environments and CI/CD pipelines.
- Ability to write clear modular maintainable code.
- Bachelors degree in Computer Science Data Science Software Engineering or related experience
Preferred:
- Masters degree and/or 3 years of experience including at least 1 year focused on AI or ML applications
- Experience with vector databases (Pinecone Chroma Elasticsearch pgvector).
- Experience with prompt engineering evaluation and orchestration frameworks (LangChain LangGraph LlamaIndex).
- Background in unstructured data processing and embedding pipelines.
Additional Information :
The pay range for this role is $95700- $160000 salary per year. Where you fall within the pay range is based on how you demonstrate the attributes and competencies required for the role. We mostly reserve the upper half of our compensation bands for internal addition to base salary we offer a comprehensive benefits package performance-based incentives and opportunities for growth.
#LI-Remote
Daxko is dedicated to pursuing and hiring a diverse workforce. We are committed to diversity in the broadest sense including thought and perspective age ability nationality ethnicity orientation and gender. The skills perspectives ideas and experiences of all of our team members contribute to the vitality and success of our purpose and values.
We truly care for our team members and this is reflected through our offices and benefits and great perks. These perks are only for our full-time team members. Some of our favorites include:
Flexible paid time off
Affordable health dental and vision insurance options
Monthly fitness reimbursement
401(k) matching
New-Parent Paid Leave
Casual work environments
Remote work
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Full-time
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