Lead Software Engineer - MLIO Virtual Conversation assist
Job Responsibilities
Collaborate with cross-functional teams, integrating partners, and key stakeholders to align on requirements, resolve dependencies, and ensure successful end-to-end project rollout.
Experienced and skilled in using Terraform for infrastructure deployment; familiarity with EAC is an added advantage.
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Develops secure and high-quality production code, and reviews and debugs code written by others.
Drives decisions that influence the product design, application functionality, and technical operations and processes.
Hands-on experience with any Large Language Models, including making API calls, handling streaming responses (SSE/WebSocket), and managing end-to-end request lifecycle.
General understanding of LLM performance considerations, including response latency, token usage and cost implications, and approaches to evaluating model output quality.
Leverage Amazon Bedrock for model invocation and work alongside supporting AWS services.
Familiarity with Agentic AI concepts.
Actively contributes to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the Software Development Life Cycle.
Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
Required Qualifications, Capabilities, And Skills
Formal training or certification on software engineering concepts and 5+ years applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced in one or more programming language(s) (Java, Python).
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., AI/ML, UI development, mobile development etc.).
Ability to tackle design and functionality problems independently with little to no oversight.
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Preferred Qualifications, Capabilities, And Skills
Hands on experience with GenAI and AI Agents.
Proficient and hands On with Terraform for Infrastructure Deployment and knowledge of EAC is a plus.
Proficient and hands on with AWS Container Orchestration Services like ECS and EKS.
Experience with ML Engineering.
Extensive experience with Amazon Web Services (AWS), including deploying, managing, and scaling applications using services such as EC2, S3, Lambda, and RDS.
Proficiency in AWS security best practices and cost optimization strategies.