Responsibilities:
AI
& Agentic Application Development
· Design, develop, and deploy AI-powered applications using
LLMs and Agentic AI architectures.
· Build reliable AI workflows utilizing tool/function calling,
structured outputs, memory management, state handling, and error recovery.
· Implement and maintain production AI systems with strong
focus on scalability, observability, security, and reliability.
· Leverage AI-assisted development tools for coding, code
review, testing, and validation.
· Define and execute AI evaluation frameworks, including
experimentation, model assessment, performance measurement, and statistical
analysis.
Python
Engineering & API Development
- Develop high-quality,
maintainable Python applications following software engineering best
practices.
- Build and maintain RESTful
APIs using FastAPI.
- Implement API contracts,
request/response validation using Pydantic, and streaming responses.
- Develop automated test
suites and maintain CI/CD pipelines.
- Apply asynchronous
programming techniques to improve application performance and
scalability.
RAG,
LLMs & Machine Learning
- Design and implement
Retrieval-Augmented Generation (RAG) solutions.
- Optimize chunking
strategies, embeddings, hybrid retrieval, reranking, and retrieval
quality.
- Evaluate and improve AI
system performance using quantitative metrics.
- Apply machine learning
techniques to predictive and prescriptive business problems.
- Demonstrate strong
understanding of LLM architecture, tokenization, embeddings,
transformers, attention mechanisms, and model limitations.
Data
& Business Translation
- Translate business
requirements into measurable technical solutions and acceptance
criteria.
- Design and optimize data
models for SQL and NoSQL databases.
- Work with Cosmos DB and
other scalable data platforms.
- Collaborate with product,
business, and engineering teams to deliver end-to-end solutions.
Azure
AI & Cloud Solutions
- Design AI solutions
utilizing:
- Azure AI Foundry
- Azure AI Search
- Azure OpenAI / LLM
Services
- Azure Functions
- Azure Cosmos DB
- Azure Blob Storage
- Deploy, monitor,
troubleshoot, and optimize AI applications on Azure.
Profile Description:
- 10+ years of software
engineering experience, with 5-6+ years focused on AI, GenAI, LLMs, and
cloud-native application development.
- Strong Python expertise
with proven experience in building scalable, maintainable, and
well-tested applications.
- Hands-on experience
developing APIs using FastAPI, Pydantic, asynchronous programming, and
streaming responses.
- Proven track record
delivering production-grade AI solutions, including deployment,
monitoring, troubleshooting, and operational support.
- Experience building
Agentic AI applications using tool/function calling, structured outputs,
workflow orchestration, memory, and state management.
- Strong understanding of
RAG architectures, embeddings, hybrid search, reranking, and retrieval
evaluation.
- Solid foundation in
machine learning, statistics, experimentation, and AI model evaluation.
- Deep understanding of LLM
concepts, including tokenization, embeddings, transformers, attention
mechanisms, and model limitations.
- Experience implementing AI
safety, observability, prompt-injection protection, and data governance
practices.
- Hands-on experience with
LangGraph or similar orchestration frameworks.
- Strong knowledge of SQL
and NoSQL databases, including Cosmos DB and data modeling best
practices.
- Experience working with
Azure AI Foundry, Azure AI Search, Azure OpenAI, Azure Functions, Blob
Storage, and related Azure services.
- Ability to translate
business requirements into measurable outcomes and scalable technical
solutions.
- Familiarity with CI/CD,
Agile/Scrum methodologies, and modern software engineering practices.
- Strong problem-solving,
communication, stakeholder management, and collaboration skills.
- Demonstrates ownership,
continuous learning, knowledge sharing, and a passion for engineering
excellence.
- Exposure to Polars, Kedro,
Grafana, advanced data engineering, and advanced machine learning
techniques is a plus.
Nice to have
Competencies:
- Working experience in a SAFe
environment is a plus.
- Experience working with European
clients
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