Lead Software Engineer
2 weeks ago
Prana Tree is a fast-growing IT consulting and product innovation firm specializing in AI, Data Engineering, Blockchain, and Cloud solutions.
We're currently hiring for our US-based global management consulting and technology client, a market leader in healthcare and life sciences. Headquartered in Illinois (USA) and present across 30+ countries. This role will start off as a 6-9 month long contract with possible conversion to a Full time role, else the contract will be extended. If you're passionate about building cutting-edge applications and working with the latest in AI, this could be a great fit
Location and workplace type: Hybrid model (3 days onsite) in New York, Chicago, or Princeton NJ.
Visa statuses accepted: USC, GC, GC EAD, H4 EAD.
About the Role
We are seeking an experienced Lead Software Engineer (AI/LLM) to guide a high-performing engineering team in delivering scalable, innovative, and AI-powered software solutions. This role requires deep technical expertise, architectural vision, and leadership skills to design and implement robust systems while mentoring talented engineers.
Key Responsibilities
- Lead a team of software engineers to deliver high-quality, scalable products
- Oversee solution design, technical architecture, and system performance optimization
- Make strategic buy vs. build vs. open-source (OSS) software decisions
- Develop applications that integrate software engineering with LLM (Large Language Model) capabilities
- Collaborate with stakeholders to translate business needs into technical solutions
- Ensure coding, architecture, and security best practices are followed
- Foster a culture of innovation, collaboration, and continuous improvement
- Conduct design and code reviews; mentor junior engineers
- Drive Agile best practices, sprint planning, and ensure timely delivery
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 8+ years of software engineering experience, including 3+ years in technical leadership
- Strong background in full-stack development, cloud technologies, and distributed systems
- Expertise in LLM engineering and API integrations (OpenAI, Claude, Gemini)
- Proven solution design and technical architecture expertise
- Strong technology evaluation skills for buy vs. build vs. OSS decisions
- Excellent communication, leadership, and problem-solving abilities
Good to Have
- Experience with microservices architecture
- Knowledge of MLOps and AI model deployment
- Familiarity with containerization (Docker/Kubernetes) and CI/CD pipelines
- Exposure to multi-cloud environments (Azure, AWS, GCP)
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