Senior Ai/ml Full Stack Engineer
Posted Today by Talent Software Services, Inc
Negotiable
Undetermined
Remote
Remote
Summary: The Senior AI/ML Full Stack Engineer will design, develop, and implement AI software solutions tailored to business needs, collaborating with various stakeholders throughout the development lifecycle. This role involves providing technical leadership, guiding the software engineering team, and ensuring the delivery of scalable AI solutions. The engineer will also focus on improving development processes and staying updated on the latest technologies. Strong programming skills and experience in AI applications are essential for success in this position.
Key Responsibilities:
- Design, develop, and implement AI software solutions to address business needs.
- Assist the System Architect in the complete AI solution development and release lifecycle.
- Communicate with product managers, designers, data scientists, and other internal and external stakeholders to gather requirements.
- Help provide technical leadership to the software engineering team.
- Take direction from the System Architect and help lead the team through the software design, development, testing, and release cycle to deliver and support the final AI solutions on-prem or on cloud.
- Actively seek ways to improve the software development process and keep the team up to date on the latest software technologies and processes.
- Provide clear and accurate status reports to management and stakeholders as needed.
- Guide and coach members of the software engineering team.
- Responsible for designing and developing scalable AI solutions that combine large language models, retrieval systems, structured and unstructured data, cloud services, and user-facing applications.
- Build RAG pipelines, document ingestion workflows, semantic search, embeddings, prompt engineering, evaluation frameworks, guardrails, APIs, and production monitoring.
- Collaborate closely with product owners, clinical or business stakeholders, and technical teams to gather requirements, communicate tradeoffs, and deliver reliable, measurable AI solutions.
Key Skills:
- Strong Python programming and SQL experience.
- Hands-on experience building Generative AI or RAG-based applications.
- Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citations.
- Experience with ML/NLP model development, evaluation, and performance monitoring.
- Familiarity with LLM evaluation metrics such as answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy.
- Experience implementing AI safety guardrails, content moderation, blocked topics, or escalation logic.
- Experience with cloud platforms such as Google Cloud Platform, AWS, or OCI.
- Experience with tools such as Vertex AI, AWS Bedrock, SageMaker, BigQuery, Snowflake, OpenSearch, Cloud Run, Docker, Airflow, Terraform, or CI/CD pipelines.
- Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred.
- Strong communication skills and ability to work with both technical and non-technical stakeholders.
Salary (Rate): £61.50 hourly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Job Summary:
- Design, develop, and implement AI software solutions to address business needs.
- Assist the System Architect in the complete AI solution development and release lifecycle.
- Communicate with product managers, designers, data scientists, and other internal and external stakeholders to gather requirements.
- Help provide technical leadership to the software engineering team.
- Take direction from the System Architect and help lead the team through the software design, development, testing, and release cycle to deliver and support the final AI solutions on-prem or on cloud.
- Actively seek ways to improve the software development process and keep the team up to date on the latest software technologies and processes.
- Provide clear and accurate status reports to management and stakeholders as needed.
- Guide and coach members of the software engineering team.
- Responsible for designing and developing scalable AI solutions that combine large language models, retrieval systems, structured and unstructured data, cloud services, and user-facing applications.
- Build RAG pipelines, document ingestion workflows, semantic search, embeddings, prompt engineering, evaluation frameworks, guardrails, APIs, and production monitoring.
- Collaborate closely with product owners, clinical or business stakeholders, and technical teams to gather requirements, communicate tradeoffs, and deliver reliable, measurable AI solutions.
Required Skills:
- Strong Python programming and SQL experience.
- Hands-on experience building Generative AI or RAG-based applications.
- Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citations.
- Experience with ML/NLP model development, evaluation, and performance monitoring.
- Familiarity with LLM evaluation metrics such as answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy.
- Experience implementing AI safety guardrails, content moderation, blocked topics, or escalation logic.
- Experience with cloud platforms such as Google Cloud Platform, AWS, or OCI.
- Experience with tools such as Vertex AI, AWS Bedrock, SageMaker, BigQuery, Snowflake, OpenSearch, Cloud Run, Docker, Airflow, Terraform, or CI/CD pipelines.
- Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred.
- Strong communication skills and ability to work with both technical and non-technical stakeholders.
Education Requirements:
- Bachelor’s degree required in Computer Science, Data Science, Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related technical field.
- Master’s degree or higher preferred in Data Science, Computer Science, Biomedical Engineering, Artificial Intelligence, Machine Learning, Engineering, or a related field.
- Relevant certifications or coursework in Generative AI, Machine Learning, Cloud AI platforms, Data Science, or MLOps are preferred.