AI Machine Learning Engineer - Remote - India

FullStack is an AI-native engineering partner dedicated to transforming AI capabilities into reliable, production-ready solutions. Unlike many companies that can only demonstrate AI, FullStack ensures AI is seamlessly integrated into products from the outset, supported by elite, vetted talent and transparent execution that delivers measurable value. Serving over 600 customers across North America, FullStack acts as a single, integrated partner for all AI engineering needs, empowering clients to move forward with confidence.

Key Responsibilities
- Collaborate directly with client teams, working alongside designers and engineers on a daily basis.
- Develop, optimize, and deploy AI and machine learning models using Python and frameworks such as LangChain.
- Apply deep knowledge of large language models (LLMs), prompt engineering, and the latest generative AI trends.
- Implement retrieval-augmented generation (RAG) techniques and manage vector databases like FAISS, Pinecone, or Weaviate.
- Design, build, and maintain scalable and reliable AI infrastructure on cloud platforms including AWS, GCP, or Azure.
- Document AI/ML workflows, architectural decisions, and best practices clearly and thoroughly.
- Support MLOps processes, including CI/CD pipelines, to maintain production-grade AI systems.
- Troubleshoot complex technical challenges and contribute to internal libraries as needed.
- Maintain continuous integration and delivery of AI applications with forensic attention to detail.
- Work effectively within Agile/Scrum teams, taking full ownership of deliverables and aligning with client goals.
- Commit to consistent, full-time work hours and uphold a positive, solution-oriented mindset.

Required Qualifications
- Minimum of 4 years of professional experience as an Artificial Intelligence Engineer, Machine Learning Engineer, or a related role.
- Bachelor’s degree from an accredited four-year college or university.
- Advanced proficiency in English.
- Proven expertise in developing and optimizing AI/ML models using Python and relevant frameworks.
- Strong understanding of LLMs, prompt engineering, and generative AI technologies.
- Hands-on experience with RAG techniques and vector databases such as FAISS, Pinecone, or Weaviate.
- Demonstrated ability to deploy AI/ML solutions in production environments.
- Experience designing scalable AI infrastructure on cloud platforms (AWS, GCP, Azure).
- Skilled in documenting workflows, architectural decisions, and best practices.
- Familiarity with MLOps, CI/CD pipelines, and maintaining production-ready AI systems.
- Ability to work independently and collaboratively to solve complex problems.
- Experience working in Agile/Scrum environments.
- Strong ownership mentality and commitment to meeting team and client expectations.
- Authorization to work full-time in the country of the job posting without sponsorship.

Preferred Qualifications and Benefits
- Competitive compensation package.
- Fully remote work environment, offering flexibility and work-life balance.
- Opportunities to collaborate with leading startups and Fortune 500 companies.
- Access to continuing education and professional development resources.
- Clear pathways for career growth and skill expansion.

FullStack is committed to fostering a diverse, inclusive, and accessible workplace. We welcome applicants from all backgrounds and identities, focusing on matching talent with projects based on skills and qualifications. Our recruitment process emphasizes fairness, transparency, and global collaboration to ensure diverse perspectives are valued.

Applicants must be authorized to work in the country of the job posting on a full-time basis. FullStack does not provide visa sponsorship now or in the future.