NEWPosted 3 hours ago
Job ID: JOB_ID_2900
Job Overview:
We are seeking a Lead GenAI Engineer with strong hands-on expertise in building GenAI applications and integrating enterprise LLM services. This role focuses on developing a scalable AI Gateway using C and Python, connecting internal applications with platforms like Azure OpenAI and AWS Bedrock.
Key Responsibilities:
- Build and enhance AI Gateway components using C and Python.
- Develop scalable APIs, microservices, and GenAI pipelines.
- Integrate LLM services (Azure OpenAI, AWS Bedrock) using modern SDKs and frameworks.
- Drive end-to-end engineering delivery from development to production deployment.
- Collaborate with architects, DevOps, and product teams to deliver platform features.
- Mentor junior engineers and maintain engineering best practices.
- Ensure system reliability through monitoring, debugging, and performance optimization.
Required Qualifications:
- 8+ years of software engineering experience with strong hands-on coding skills.
- Proficiency in C and working knowledge of Python.
- Experience with GenAI/LLM application development, API-based systems, and microservices.
- Working experience with Azure OpenAI, AWS Bedrock, LangChain, LlamaIndex, or OpenAI SDKs.
- Strong cloud & DevOps skills: Docker, Kubernetes, OpenShift.
- Knowledge of Azure (AI Search, Document Intelligence) and AWS (EKS, SageMaker).
- Understanding of authentication and identity systems (e.g., Okta).
Location:
Hartford, CT (Onsite)
Duration:
Long Term Contract
Special Requirements
Onsite
Compensation & Location
Salary: $100 – $150 per year (Estimated)
Location: Hartford, CT
Recruiter / Company – Contact Information
Email: ems@gmail.com
Recruiter Notice:
To remove this job posting, please send an email from
ems@gmail.com with the subject:
DELETE_JOB_ID_2900