Website:
alion.io
Job details:
We're seeking hands-on Lead Software Engineers who can build production-ready AI solutions on AWS and guide distributed teams while continuously scouting and prototyping emerging AI technologies. You'll join our Product Engineering group, owning end-to-end delivery of next-generation Amorphic AI solutions while mentoring engineers across global teams.
Technical Leadership
The candidate will have responsibilities across the following functions
:
- Lead the integration of cutting-edge AI/LLMs into Amorphic AI Solutions, ensuring seamless interoperability and optimal performance.
- Design and architect complex software systems with focus on scalability, maintainability, and performance.
- Architect production-grade RAG pipelines and multi-agent orchestration on AWS (Lambda, ECS/Fargate, Bedrock, SageMaker, DynamoDB, S3 EventBridge, Step Functions).
- Drive the design and implementation of scalable AI pipelines.
Development And Innovation
- Design, develop, test, and maintain scalable backend applications using Python and AWS services.
- Stay current with AI advancements through hands-on experimentation with emerging frameworks (LangChain, Hugging Face Transformers, CrewAI) via prototypes and side projects.
- Optimise AI solution performance focusing on cost-effectiveness, latency, and resource utilisation.
- Develop strategies for monitoring, maintaining, and improving deployed AI models in production.
Team Leadership
- Lead 5-10 engineers through design reviews, pair-programming, and PR feedback.
- Conduct code reviews and design discussions to ensure adherence to best practices.
- Collaborate with cross-functional teams globally to identify requirements and implement solutions.
- Create and maintain comprehensive documentation for architecture, design decisions, and coding practices.
Requirements
- BE / B. Tech in Computer Science or related field.
- 8+ years of experience in software development.
- Solid understanding of large language models (LLMs), including experience with prompt engineering, fine-tuning, or integrating LLM APIs (e. g., from OpenAI, Anthropic, or AWS Bedrock).
- Hands-on experience building AI solutions using the latest tools and frameworks (e. g., LangChain, crewAI), demonstrated through side projects, open-source contributions, or personal prototypes.
- Proven leadership experience in managing and mentoring high-performing teams of software and application developers.
- Exceptional proficiency in the Python programming language.
- Solid understanding of the AWS ecosystem, including Lambda functions, S3 buckets, EMR clusters, DynamoDB tables, etc.
- Proven experience in a leadership role, leading software development teams in the delivery of complex projects.
- Deep understanding of software architecture and design principles, with a focus on building scalable and maintainable systems.
- Experience with distributed systems, microservices architecture, and cloud-based solutions.
- Strong knowledge of software development best practices, including code reviews, testing, and CI/CD pipelines.
- Experience working with AWS services and developing Cloud Native Applications using REST APIs is a must-have.
- Experience working in an agile delivery environment, especially product engineering teams.
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