PF - AI Back End Engineer

IMPORTANT: At the moment we are only considering candidates located in Latin America. Please do not apply if you are not located in Latin America.

About EmpiricalEmpirical empowers early and growth stage tech companies to create the right products in the right way by providing two pivotal services:

• Product & Technology Leadership: Our clients entrust critical decisions to our network of top-tier US-based CTOs and CPOs. We provide fractional, project, or advisory based support, combining highly experienced talent with a flexible approach.
• Product Development Teams: We provide our clients with high performing, senior product development talent through a scalable staff augmentation model and ongoing support. We focus on Latin America to find exceptional talent, with time zone and cultural compatibility.

We are proud to be a people first company, where we prioritize building meaningful, long lasting human connections with clients and team members alike, while embracing diversity and uniqueness. With this foundation and our focus on talent, we help create great products that people love.
Our values

• Care about people first
• Strive to add value always
• Lead with integrity
• Have fun every step of the way

The OpportunityOur client is seeking a Senior AI Backend Engineer to join their team in building intelligent agent-based systems and LLM-powered applications. The role focuses on developing and deploying production-ready AI solutions that leverage the latest advances in large language models and autonomous agents.
What you'll be doing

• Design and implement agentic workflows using LangChain and LangGraph
• Build and optimize RAG systems for improved information retrieval and generation
• Deploy and maintain AI services on AWS infrastructure
• Integrate various LLM services and fine-tune models as needed
• Collaborate with the team on architecture decisions and best practices
• Implement and maintain production-grade AI endpoints
• Ensure high performance and reliability of AI systems
• Optimize AI workflows for cost and efficiency

Your qualifications and experienceMust haves

• 5+ years of software development experience in Python
• Strong expertise in LangChain, LangGraph, and other agentic frameworks
• Experience implementing production RAG systems
• Proficiency with AWS services (Bedrock, Lambda, API Gateway, S3, DynamoDB)
• Experience with LLM APIs (OpenAI, AWS Bedrock)
• Strong background in building scalable backend services
• Experience working in agile development environments using git
• Proven track record of deploying AI solutions to production

Nice-to-haves

• Frontend/full-stack experience with React and Next.js
• Experience with containerization (Docker, Kubernetes)
• Knowledge of vector databases (Pinecone, Redis)
• Familiarity with deep learning frameworks
• Experience with model fine-tuning
• Background in NLP tools (spaCy, NLTK)

What we expect from you

• 100% alignment with our core values!
• Ability to work independently while being a highly collaborative team player
• Comfortable working with minimal direction in a fast-paced environment
• Strong critical thinking skills and a pragmatic approach towards solving problems
• Ability to work independently and get things done with minimal direction
• Drive projects from start to finish in a fast-paced environment
• Strong documentation and verbal/written communication skills.
• Detail-oriented and highly collaborative team player

What we offer

• Remote/flexible work
• Highly competitive compensation in US dollars
• Opportunities for personal and professional development; mentorship, coaching and training as needed
• Ongoing, 40 hours per week dedication
• The opportunity to be part of an amazing, multicultural community of tech experts

Why work with us?

• We pride ourselves on our core values and have proven that putting people first creates a thriving and collaborative work environment.
• We seek to accommodate and balance individual needs with client needs, understanding each one of us is unique.
• We offer benefits such as remote/flexible work, selective paid training, mentorship programs, referral programs and more.
• We are selective in the projects we take on to ensure our teams are engaged in challenging, meaningful, enjoyable opportunities that will provoke creativity, innovation and growth!