Job Description: Software Engineer – AI
Developer (Amazon Bedrock /Agentic AI)<\/span><\/b>
<\/p>Overview<\/span><\/b>
<\/p>We are looking for a talented Amazon
Bedrock Developer<\/b> to design, build, and deploy AI -powered applications
using AWS Bedrock<\/b>, Textract<\/b>, Guardrails<\/b>, and Agents<\/b>.
The ideal candidate will have hands -on experience integrating foundation models
with document processing, compliance frameworks, and autonomous agents to
deliver secure and intelligent enterprise solutions.<\/span>
<\/p>This role is perfect for someone passionate
about building responsible AI applications<\/b> in the cloud while ensuring
scalability, performance, and regulatory compliance.<\/span>
<\/p>Preferred Qualifications<\/span><\/b>
<\/p>- Experience with orchestration frameworks such as LangChain<\/b> or Haystack<\/b>.<\/span>
<\/li>- Knowledge of vector databases<\/b> (OpenSearch, Pinecone,
Weaviate) for retrieval -augmented generation (RAG).<\/span>
<\/li>- Previous experience building AI copilots, assistants, or
chatbots<\/b>.<\/span>
<\/li>- AWS Certifications (e.g., Machine Learning Specialty<\/b>, Solutions
Architect Associate/Professional<\/b>).<\/span>
<\/li>- Background in document intelligence or NLP applications<\/b>.<\/span>
<\/li><\/ul><\/div><\/span>
Requirements<\/h3>- AI Application Development<\/span><\/b>: Build
and optimize generative AI applications leveraging Amazon Bedrock
foundation models<\/b> for text, conversation, and semantic search.<\/span>
<\/li>- Document Intelligence<\/span><\/b>: Integrate Amazon
Textract<\/b> with Bedrock to extract structured data from unstructured
documents for downstream processing.<\/span>
<\/li>- Responsible AI<\/span><\/b>: Implement Amazon
Bedrock Guardrails<\/b> to enforce content moderation, compliance, and
safety policies across generative AI outputs.<\/span>
<\/li>- Autonomous Agents<\/span><\/b>: Design and
deploy Bedrock Agents<\/b> to handle multi -step reasoning,
orchestration, and integration with enterprise systems.<\/span>
<\/li>- API & Workflow Integration<\/span><\/b>:
Connect Bedrock applications with internal APIs, third -party services, and
data pipelines for real -time insights.<\/span>
<\/li>- Scalability & Optimization<\/span><\/b>:
Monitor performance, optimize costs, and ensure high availability of
Bedrock -powered services.<\/span>
<\/li>- Security & Compliance<\/span><\/b>: Apply
AWS best practices for IAM, encryption, and monitoring to safeguard
sensitive data and AI -driven workflows.<\/span>
<\/li>- Cross -functional Collaboration<\/span><\/b>:
Work with data scientists, ML engineers, and DevOps teams to deliver
end -to -end solutions.<\/span>
<\/li>- Continuous Innovation<\/span><\/b>: Stay current
with new AWS AI/ML services and emerging best practices in generative AI.
<\/span><\/li>- Proven experience with AWS Bedrock<\/b> (foundation models,
Guardrails, Agents).<\/span>
<\/li>- Hands -on expertise with Amazon Textract<\/b> for document
extraction and processing.<\/span>
<\/li>- Proficiency in C#, Python<\/b> or Node.js<\/b> for backend
and AI workflow development.<\/span>
<\/li>- Strong knowledge of AWS services<\/b> (Lambda, API Gateway,
S3, DynamoDB, CloudWatch).<\/span>
<\/li>- Experience in prompt engineering<\/b> and model
orchestration.<\/span>
<\/li>- Familiarity with REST APIs<\/b> and event -driven
architectures.<\/span>
<\/li>- Understanding of AI security and compliance practices<\/b>.<\/span>
<\/li>- <\/span>
<\/li><\/ul><\/div><\/span>
Benefits<\/h3>- Work with cutting -edge AWS generative AI technologies<\/b> (Bedrock, Guardrails, Agents, Textract).<\/span>
<\/li>- Drive real -world AI adoption<\/b> in enterprise applications.<\/span>
<\/li>- Competitive salary, flexible working arrangements, and career
growth in AI/ML.<\/span>
<\/li><\/ul>
<\/div><\/span>
