Software Engineer - AI

Key Responsibilities

• Design & Implement AI/ML Solutions
• Architect and develop end-to-end ML solutions from data ingestion to model deployment, including LLM-based applications.
• Evaluate and select appropriate frameworks, libraries, and tools to meet both short-term project goals and long-term scalability.
• LLM & Prompt Engineering
• Develop and optimize prompts for Large Language Models (e.g., Openai/Claude/Llama) to improve the quality and relevance of outputs.
• Conduct experiments to evaluate LLM performance and apply prompt engineering best practices to ensure high-impact results.
• AI Agent Frameworks
• Incorporate AI agent frameworks (e.g., LangChain, AgentGPT, or similar) to enable autonomous or semi-autonomous decision-making within applications.
• Integrate AI agents with existing systems, ensuring robust communication and secure data handling.
• MLOps & Production Operations
• Set up and optimize CI/CD pipelines for ML models, ensuring continuous integration, testing, and deployment.
• Monitor, troubleshoot, and refine production ML systems for performance, cost-efficiency, and reliability.
• Cloud Development (AWS)
• Leverage AWS services (e.g., EC2, S3, Lambda, SageMaker, EKS) to design and maintain scalable, secure, and cost-efficient ML infrastructure.
• Implement best practices for cloud resource allocation, scaling, and maintenance.
• Software Engineering & Distributed Systems
• Write clean, maintainable, and well-documented code in Python and other modern languages (e.g., Go or Rust).
• Develop and maintain distributed systems, focusing on reliability, fault tolerance, and performance.
• Work with databases (SQL/NoSQL) to handle large-scale data processing and storage.
• Front-End Integration
• Collaborate on front-end projects using React/Next.js to build user interfaces or internal tools that interact with AI/ML services.
• Cross-Team Collaboration
• Work closely with product managers, data scientists, DevOps engineers, and other stakeholders to define requirements and deliver high-impact solutions.
• Communicate technical decisions effectively, balancing trade-offs between short-term needs and long-term product vision.
• Autonomy & Time Management
• Operate with minimal supervision, proactively identifying issues and taking ownership to drive solutions.
• Manage multiple priorities in a fast-paced environment, and effectively escalate blockers to ensure timely delivery.
• Continuous Learning & Adaptability
• Stay updated with emerging AI/ML technologies, LLM advancements, and best practices, sharing insights with the team.
• Adapt quickly to new domains, frameworks, and technologies as project needs evolve.

Qualifications & Requirements

• Experience: 5+ years of professional software engineering experience, including distributed systems and databases.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent industry experience).
• Technical Skills:

o Required:
 AWS (or other major cloud provider) with hands-on experience in deploying, monitoring, and scaling production services.
 Python (preferred) and proficiency in at least one other modern programming language (e.g., Go, Java, Rust).
 Strong understanding of MLOps concepts, CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
 Experience with SQL/NoSQL/Vector databases and data processing frameworks.
 Demonstrated knowledge of LLMs and prompt engineering.
 Familiarity with AI agent frameworks such as LangChain, AgentGPT, or similar.
 Experience with open-source ML tools and libraries (PyTorch, TensorFlow, scikit-learn, etc.).
o Nice to Have:
 Front-end development skills (React, Next.js) or familiarity with web frameworks.

• Soft Skills:

o Excellent interpersonal and communication skills, with the ability to collaborate across diverse teams.
o Strong problem-solving aptitude and a results-oriented mindset.
o Proven time management skills, ability to prioritize tasks, and meet tight deadlines.
o Self-starter who seeks out solutions independently but knows when to escalate for help.