AI Developer

In this role, you will be a hands-on developer -pairing daily with other engineers and guiding adoption of LLMs, RAG, vector stores, and agentic frameworks. You’ll partner closely with product and platform leaders to build AI systems.

• Work in a highly talented diverse team.
• Be encouraged to continuously learn new skills, technologies, and tools.
• Identify areas for innovation and have the freedom to rapidly explore and test out your ideas.
• Play a critical role in the design, development, and deployment of AI/ML tools.
• lead the effort in taking AI/ML solutions from proof-of-concept to production-ready state., * Participate in projects, demonstrating technical expertise and a hands-on approach in experimentation and productization.
• Partner with product stakeholders to iterate quickly on PoCs, incorporating feedback and refining solutions in short cycles.
• Establish and socialize strong AI engineering fundamentals, design patterns, code quality standards

• Deep understanding of machine leaning fundamentals and ability to apply them in developing and implementing AI/ML solutions.
• Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores, Agentic frameworks).
• Solid grasp of software development principles, including design patterns, testing, and version control such as Git.
• Inquisitive nature, with a deep understanding of both technical and business aspects.
• Data-driven decision maker, combining robust analytical thinking with sound business judgment.
• Excellent communicator with both technical and non-technical team members.
• Comfortable with hands-on involvement in AI/ML experimentation and model development., * Python (advanced), APIs, pipelines, and AI orchestration
• Hands-on experience with LLMs (preferably GPT models)
• Prompting patterns and structured outputs
• Model evaluation including accuracy/faithfulness checks, hallucination mitigation, regression testing
• Safety/guardrails patterns appropriate for enterprise use

3) Demonstrated ability to leverage GitHub Copilot for code acceleration:

• Rapid scaffolding of code, services, APIs, and development

3) Data Skills - SQL + SQL Server, Microsoft Fabric(optional)

• Query authoring, joins, indexing awareness
• Ability to design data access patterns for AI
• Hands-on experience with LLMs (commercial)
• Prompting patterns and structured outputs
• Strong experience implementing RAG architecture with ingestion pipelines, chunking strategies
• Vector database / vector search experience with Indexing, similarity search, metadata filtering
• Experience with MCP patterns, Standardizing tool/context access for models and agent runtimes
• Designing MCP servers/tool endpoints and integrating them into LLM apps
• Experience implementing agentic workflows, A2A patterns such as multi-agent collaboration (planner/executor/reviewer/retriever roles)

8) Cloud

9) Observability & Production Support

• Experience operating and supporting AI-enabled services in production:
• Logging, metrics, tracing (APM tools such as Datadog)

So, what are the essential criteria to apply?

• Minimum of 10 years of python development
• Minimum of 4 years of experience working on AI projects, with a focus on productizing AI/ML solutions.

Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We’re privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams.

Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.