The Team at Omnie
We invest in people. Stemming from one passionate visionary along with a small team, we set out to make a difference in world of technology. The journey now continues to expand globally; encompassing hundreds of creative, passionate "Omnites" working together to make a mark on the world through unparalleled technology solutions.
Our Value
Omnie is about more than a job; it is a stepping-stone towards creating a better, smarter future. We believe in supporting each other through a contemporary approach of business management.
Diversity in experience and culture
Integrity and honesty
Unharnessed creativity
Innovative ideation
Passion-driven work ethics
Willingness to take challenges
Commitment to deliver excellence
Ownership and accountability
What We Offer
Omnie catapults your career to a new dimension; we help you actualize your creative forces. Our values reflect:
Exposure to leading business procedures
World class training and mentoring
Open door approach with an energetic environment
Sharing of ideation and learned strategy
Global exposure with projects spanning the globe
Collaborative team spirit that supports innovation
Current Openings
Update this to “two current openings and we are always interested in hearing.
If you believe your skills and experience are a strong match for the kind of work we do, we would be glad to hear from you. Send your CV and a brief note about what you are looking for to careers@omniesolutions.com and we will be in touch if something suitable arises.
Job Openings
AI Engineer (Generative AI/ Agents)
Job Description
We are looking for a highly skilled AI Agent Engineer / Generative AI Engineer with hands-on experience in building and deploying enterprise-grade Generative AI and AI Agent solutions using AWS Bedrock as the primary platform and Google Gemini / Vertex AI Agent Builder as a secondary ecosystem. The ideal candidate should have strong expertise in AI workflow orchestration, prompt engineering, tool calling, guardrails, conversation memory management, and evaluation frameworks for LLM-powered applications.
This role requires a blend of backend engineering, GenAI architecture, and AI product thinking to build scalable, secure, and observable AI systems for enterprise use cases.
Key Responsibilities
AI Agent Development
- Design, develop, and deploy AI agents using Amazon Web Services Bedrock.
- Build multi-step agentic workflows with tool calling, orchestration logic, and contextual reasoning.
- Integrate external APIs, enterprise systems, databases, and knowledge sources into AI workflows.
Prompt Engineering & Orchestration
- Develop advanced prompt orchestration frameworks for reliable and scalable AI interactions.
- Optimize prompts for accuracy, latency, safety, and cost efficiency.
- Implement prompt chaining, contextual retrieval, and response grounding techniques.
Tool Calling & Workflow Design
- Build structured tool-calling frameworks for enterprise AI applications.
- Design agent workflows involving function calling, task decomposition, and autonomous execution patterns.
- Develop reusable orchestration pipelines for AI-driven automation.
Guardrails & AI Safety
- Design and implement AI safety policies, moderation layers, and governance mechanisms.
- Create guardrails for hallucination control, prompt injection prevention, and secure AI responses.
- Ensure responsible AI practices and enterprise compliance standards.
Conversation Memory & Session Management
- Implement short-term and long-term conversation memory architectures.
- Design session handling and context persistence for conversational AI systems.
- Optimize memory retrieval and contextual continuity for multi-turn interactions.
AI Evaluation & Observability
- Build evaluation pipelines for LLM performance testing and benchmarking.
- Monitor AI application performance including latency, token usage, hallucination rates, and response quality.
- Implement observability frameworks, logging, tracing, and feedback loops for AI systems.
Cloud & Deployment
- Deploy scalable AI services on AWS infrastructure.
- Work closely with DevOps and backend teams for production-grade deployment and monitoring.
- Contribute to architecture discussions and platform optimization.
Required Skills & Qualifications
Mandatory Skills
- 3–6 years of overall software engineering or AI application development experience.
- Minimum 1+ years of hands-on experience with Amazon Web Services Bedrock/Vertex AI.
- Strong understanding of Generative AI, LLMs, and AI Agent architectures.
Experience in:
- Prompt orchestration
- Tool calling and workflow design
- AI guardrails and policy frameworks
- Conversation memory/session handling
- AI evaluation and observability
- Strong experience with Python and API integrations.
- Understanding of vector databases, embeddings, and RAG architectures.
- Familiarity with REST APIs, microservices, and cloud-native systems.
Education
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
Apply Now →Senior API Gateway / Integration Engineer
About the Role
We are looking for a highly skilled API Gateway & Integration Engineer with expertise in API management, secure backend integrations, and operational excellence in cloud-native environments. The ideal candidate will have hands-on experience with Apigee/API Gateway platforms on AWS, strong knowledge of authentication and authorization frameworks, and the ability to support enterprise-grade API ecosystems.
This role requires collaboration with engineering, security, DevOps, and product teams to build scalable, secure, and highly available API platforms.
Key Responsibilities
- Design, develop, and manage API gatew`ay solutions using Apigee and AWS API Gateway.
- Implement API gateway patterns including routing, throttling, rate limiting, caching, transformation, and traffic management.
- Build and maintain secure backend integrations with internal and external systems.
- Configure and manage authentication and authorization mechanisms including OAuth 2.0, JWT, SSO, OpenID Connect, API keys, and IAM policies.
- Develop identity and consent management workflows for secure data access and regulatory compliance.
- Collaborate with backend and cloud teams to integrate APIs with microservices and enterprise applications.
- Monitor API performance, reliability, and security using observability and monitoring tools.
- Handle operational support activities including incident management, root cause analysis, troubleshooting, and production support.
- Participate in release planning, deployment activities, rollback strategies, and change management processes.
- Create operational dashboards, alerts, and automated monitoring mechanisms for proactive issue resolution.
- Ensure API governance, documentation standards, and best practices across the organization.
- Support high availability and disaster recovery strategies for API platforms.
Required Skills & Experience
Technical Skills
- Strong experience with Apigee and/or AWS API Gateway
- Expertise in API gateway patterns and API lifecycle management
- Experience with backend integrations using REST APIs, microservices, and event-driven architectures
- Strong understanding of:
- OAuth 2.0
- OpenID Connect (OIDC)
- JWT
- SAML
- IAM and RBAC
- Experience with identity, consent, authentication, and authorization frameworks
- Knowledge of monitoring and logging tools such as CloudWatch, ELK, Grafana, Splunk, or Datadog
- Familiarity with CI/CD pipelines and release management processes
- Hands-on experience with incident response and operational troubleshooting
- Exposure to AWS cloud services and cloud-native architectures
- Understanding of API security best practices and compliance standards
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or related field
- 4–8 years of overall software engineering/integration experience
- Relevant certifications in AWS or Apigee are a plus
Let’s Talk
Whether you're evaluating a technology partner, scoping a new platform build, or looking to augment your engineering team. The conversation starts here. Tell us about your initiative, and we'll respond within one business day.